<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1646-9895</journal-id>
<journal-title><![CDATA[RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação]]></journal-title>
<abbrev-journal-title><![CDATA[RISTI]]></abbrev-journal-title>
<issn>1646-9895</issn>
<publisher>
<publisher-name><![CDATA[AISTI - Associação Ibérica de Sistemas e Tecnologias de Informação]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1646-98952025000100085</article-id>
<article-id pub-id-type="doi">10.17013/risti.57.85-107</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Previsão do índice de Açúcar Total Recuperável (ATR) de Cana-de-Açúcar Usando Redes Neurais Artificiais]]></article-title>
<article-title xml:lang="en"><![CDATA[Forecast of the Total Recoverable Sugar (TRS) Index of Sugarcane Using Artificial Neural Networks]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Siqueira]]></surname>
<given-names><![CDATA[Luciano Henrique Alves de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pinto]]></surname>
<given-names><![CDATA[Anderson Rogério Faia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Achcar]]></surname>
<given-names><![CDATA[Jorge Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Crepaldi]]></surname>
<given-names><![CDATA[Antonio Fernando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hermosilla]]></surname>
<given-names><![CDATA[José Luís Garcia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Nagano]]></surname>
<given-names><![CDATA[Marcelo Seido]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade de Araraquara Departamento de Engenharia de Produção ]]></institution>
<addr-line><![CDATA[Araraquara SP]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade Estadual Paulista Departamento de Engenharia de Produção ]]></institution>
<addr-line><![CDATA[Bauru SP]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidade de São Paulo Departamento de Engenharia de Produção ]]></institution>
<addr-line><![CDATA[São Carlos SP]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2025</year>
</pub-date>
<numero>57</numero>
<fpage>85</fpage>
<lpage>107</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S1646-98952025000100085&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S1646-98952025000100085&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S1646-98952025000100085&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumo A colheita da cana-de-açúcar impacta significativamente a produtividade das usinas sucroalcooleiras e deve ser realizada no ponto ótimo de maturação ou Período de Utilização Industrial (PUI). A estimativa do PUI é obtida por análises laboratoriais que mensuram o índice de Açúcar Total Recuperável (ATR). A questão é que o planejamento das usinas sucroalcooleiras é dependente da previsão de produção (açúcar e etanol), e não há ferramentas capazes de substituir os altos custos das análises laboratoriais do ATR. Logo, este artigo traz um estudo de caso cujo objetivo é propor um modelo computacional para estimar o índice de ATR da produção de uma usina sucroalcooleira do interior do estado de São Paulo. Este modelo é fundamentado nas Artificial Neural Networks (ANN) e foi aplicado às bases de dados das lavouras de 48.151 talhões das safras de 2016/2017 a 2022/2023. As experimentações apresentaram um erro médio absoluto (3,49%) muito inferior às análises laboratoriais (12,17%). A principal contribuição deste estudo está em fornecer um modelo de baixo custo que estima com acurácia muito satisfatória o índice de ATR para o PUI.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Sugarcane harvesting significantly impacts the productivity of sugar mills and should be carried out at the optimal maturity point or Period of Industrial Utilization (PIU). The PIU is estimated through laboratory analyses that measure the Total Recoverable Sugar (TRS) index. The challenge lies in the fact that the planning of sugar mills depends on production forecasts (sugar and ethanol), and there are no tools capable of replacing the high costs of laboratory TRS analyses. Therefore, this article presents a case study aimed at proposing a computational model to estimate the TRS index of the production of a sugar mill in the countryside of São Paulo, Brazil. This model is based Artificial Neural Networks (ANN) and was applied to databases of 48,151 plots from the 2016/2017 to 2022/2023 harvests. The experiments presented a mean absolute error (3.49%) much lower than laboratory analyses (12.17%). The main contribution of this study lies in providing a low-cost model that estimates the ATR index with very high accuracy of the PIU.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Usinas]]></kwd>
<kwd lng="es"><![CDATA[Predição]]></kwd>
<kwd lng="es"><![CDATA[Produtividade]]></kwd>
<kwd lng="es"><![CDATA[Inteligência Artificial]]></kwd>
<kwd lng="en"><![CDATA[Sugar Mills]]></kwd>
<kwd lng="en"><![CDATA[Prediction]]></kwd>
<kwd lng="en"><![CDATA[Productivity]]></kwd>
<kwd lng="en"><![CDATA[Artificial Intelligence]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ali]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Altaf]]></surname>
<given-names><![CDATA[M. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Bedir]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Liaqat]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Jamil]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Nadeem]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Baloch]]></surname>
<given-names><![CDATA[F. S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Biotechnological Advancements Toward Sugarcane Crop Improvement]]></article-title>
<source><![CDATA[Industrial Crop Plants]]></source>
<year>2024</year>
<page-range>333-52</page-range><publisher-loc><![CDATA[Singapore ]]></publisher-loc>
<publisher-name><![CDATA[Springer Nature Singapore]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Amaro]]></surname>
<given-names><![CDATA[R. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Christina]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Todoroff]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Le Maire]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Fiorio]]></surname>
<given-names><![CDATA[P. R.]]></given-names>
</name>
<name>
<surname><![CDATA[De Carvalho Pereira]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Luciano]]></surname>
<given-names><![CDATA[A. C. D. S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Regional model to predict sugarcane yield using sentinel-2 imagery]]></article-title>
<source><![CDATA[Sugar Tech]]></source>
<year>2025</year>
<volume>27</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>108-18</page-range><publisher-loc><![CDATA[São Paulo State, Brazil ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bocca]]></surname>
<given-names><![CDATA[F. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Rodrigues]]></surname>
<given-names><![CDATA[L. H. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The effect of tuning, feature engineering, and feature selection in data mining applied to rainfed sugarcane yield modelling]]></article-title>
<source><![CDATA[Computers and Electronics in Agriculture]]></source>
<year>2016</year>
<volume>128</volume>
<page-range>67-76</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Box]]></surname>
<given-names><![CDATA[G. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Cox]]></surname>
<given-names><![CDATA[D. R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An analysis of transformations]]></article-title>
<source><![CDATA[Journal of the Royal Statistical Society Series B: Statistical Methodology]]></source>
<year>1964</year>
<volume>26</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>211-52</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Canata]]></surname>
<given-names><![CDATA[T. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Júnior]]></surname>
<given-names><![CDATA[M. R. B.]]></given-names>
</name>
<name>
<surname><![CDATA[de Oliveira]]></surname>
<given-names><![CDATA[R. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Furlani]]></surname>
<given-names><![CDATA[C. E. A.]]></given-names>
</name>
<name>
<surname><![CDATA[da Silva]]></surname>
<given-names><![CDATA[R. P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[AI-Driven Prediction of Sugarcane Quality Attributes Using Satellite Imagery]]></article-title>
<source><![CDATA[Sugar Tech]]></source>
<year>2024</year>
<volume>26</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>741-51</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Canata]]></surname>
<given-names><![CDATA[T. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Wei]]></surname>
<given-names><![CDATA[M. C. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Maldaner]]></surname>
<given-names><![CDATA[L. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Molin]]></surname>
<given-names><![CDATA[J. P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sugarcane yield mapping using high-resolution imagery data and machine learning technique]]></article-title>
<source><![CDATA[Remote Sensing]]></source>
<year>2021</year>
<volume>13</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cardoso]]></surname>
<given-names><![CDATA[L. A. S.]]></given-names>
</name>
<name>
<surname><![CDATA[de Mesquita]]></surname>
<given-names><![CDATA[B. D. N. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Farias]]></surname>
<given-names><![CDATA[P. R. S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Use of machine learning algorithms in the context of sugarcane in Brazil: a review]]></article-title>
<source><![CDATA[Iran Journal of Computer Science]]></source>
<year>2025</year>
<page-range>1-30</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Charoen-Ung]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Mittrapiyanuruk]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sugarcane yield grade prediction using random forest and gradient boosting tree techniques]]></article-title>
<source><![CDATA[15th International Joint Conference on Computer Science and Software Engineering]]></source>
<year>2018</year>
<page-range>1-5</page-range><publisher-name><![CDATA[Institute of Electrical and Electronics Engineers Inc]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Charoen-Ung]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Mittrapiyanuruk]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sugarcane yield grade prediction using random forest with forward feature selection and hyper-parameter tuning]]></article-title>
<source><![CDATA[14th International Conference on Computing and Information Technology]]></source>
<year>2019</year>
<page-range>1-5</page-range><publisher-name><![CDATA[Springer Verlag]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Coelho]]></surname>
<given-names><![CDATA[A. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Bettiol]]></surname>
<given-names><![CDATA[J. V. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Dalri]]></surname>
<given-names><![CDATA[A. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Fischer Filho]]></surname>
<given-names><![CDATA[J. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Faria]]></surname>
<given-names><![CDATA[R. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Palaretti]]></surname>
<given-names><![CDATA[L. F]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Application of artificial neural networks in the prediction of sugarcane juice Pol]]></article-title>
<source><![CDATA[Revista Brasileira de Engenharia Agrícola e Ambiental]]></source>
<year>2019</year>
<volume>23</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>9-15</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Colmanetti]]></surname>
<given-names><![CDATA[M. A. A]]></given-names>
</name>
<name>
<surname><![CDATA[Cuadra]]></surname>
<given-names><![CDATA[S. V]]></given-names>
</name>
<name>
<surname><![CDATA[Lamparelli]]></surname>
<given-names><![CDATA[R. A. C]]></given-names>
</name>
<name>
<surname><![CDATA[Cabral]]></surname>
<given-names><![CDATA[O. M. R]]></given-names>
</name>
<name>
<surname><![CDATA[de Castro Victoria]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[de Almeida Monteiro]]></surname>
<given-names><![CDATA[J. E. B]]></given-names>
</name>
<name>
<surname><![CDATA[de Freitas]]></surname>
<given-names><![CDATA[H. C]]></given-names>
</name>
<name>
<surname><![CDATA[Galdos]]></surname>
<given-names><![CDATA[M. V]]></given-names>
</name>
<name>
<surname><![CDATA[Marafon]]></surname>
<given-names><![CDATA[A. C]]></given-names>
</name>
<name>
<surname><![CDATA[de Andrade Junior]]></surname>
<given-names><![CDATA[A. S]]></given-names>
</name>
<name>
<surname><![CDATA[dos Anjos e Silva]]></surname>
<given-names><![CDATA[S. D]]></given-names>
</name>
<name>
<surname><![CDATA[Buffon]]></surname>
<given-names><![CDATA[V. B]]></given-names>
</name>
<name>
<surname><![CDATA[Hernandes]]></surname>
<given-names><![CDATA[T. A. D]]></given-names>
</name>
<name>
<surname><![CDATA[Le Maire]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modeling sugarcane development and growth within ECOSMOS biophysical model]]></article-title>
<source><![CDATA[European Journal of Agronomy]]></source>
<year>2024</year>
<volume>154</volume>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="">
<collab>Companhia Nacional de Abastecimento, CONAB</collab>
<source><![CDATA[Boletim - Cana-de-açúcar - 1º levantamento - 2024/25. Tabela de dados - Produção de cana-de-açúcar e subprodutos]]></source>
<year>2024</year>
<volume>12</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="">
<collab>Confederação da Agricultura e Pecuária do Brasil, CNA</collab>
<source><![CDATA[Sumário Executivo I OCDE - FAO Perspectivas Agrícolas 2023-2032]]></source>
<year>2022</year>
<publisher-loc><![CDATA[Brasília ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="">
<collab>Conselho dos Produtores de Cana-de-Açúcar, Açúcar e Etanol do Estado de São Paulo, CONSECANA-SP</collab>
<source><![CDATA[Regulamento do CONSECANA]]></source>
<year>2023</year>
<publisher-loc><![CDATA[São Paulo ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Denham]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Forgetting cane grasses: Switching temporal focus to reveal mosaics of Saccharum diversity]]></article-title>
<source><![CDATA[Plants, People, Planet]]></source>
<year>2024</year>
<page-range>1-13</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[De Oliveira]]></surname>
<given-names><![CDATA[M. P. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Bocca]]></surname>
<given-names><![CDATA[F. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Rodrigues]]></surname>
<given-names><![CDATA[L. H. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[From spreadsheets to sugar content modeling: A data mining approach]]></article-title>
<source><![CDATA[Computers and Electronics in Agriculture]]></source>
<year>2017</year>
<volume>132</volume>
<page-range>14-20</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[De Oliveira]]></surname>
<given-names><![CDATA[M. P. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Rodrigues]]></surname>
<given-names><![CDATA[L. H. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[How good are the models available for estimating sugar content in sugarcane?]]></article-title>
<source><![CDATA[European Journal of Agronomy]]></source>
<year>2020</year>
<volume>113</volume>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dias]]></surname>
<given-names><![CDATA[H. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Sentelhas]]></surname>
<given-names><![CDATA[P. C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluation of three sugarcane simulation models and their ensemble for yield estimation in commercially managed fields]]></article-title>
<source><![CDATA[Field Crops Research]]></source>
<year>2017</year>
<volume>213</volume>
<page-range>174-85</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dias]]></surname>
<given-names><![CDATA[H. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Inman-Bamber]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sugarcane: Contribution of process-based models for understanding and mitigating impacts of climate variability and change on production]]></article-title>
<source><![CDATA[Systems Modeling]]></source>
<year>2020</year>
<page-range>217-60</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dias]]></surname>
<given-names><![CDATA[H. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Inman-Bamber]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Bermejo]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Sentelhas]]></surname>
<given-names><![CDATA[P. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Christodoulou]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[New APSIM-Sugar features and parameters required to account for high sugarcane yields in tropical environments]]></article-title>
<source><![CDATA[Field Crops Research]]></source>
<year>2019</year>
<volume>235</volume>
<page-range>38-53</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dias]]></surname>
<given-names><![CDATA[H. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Inman-Bamber]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Everingham]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Sentelhas]]></surname>
<given-names><![CDATA[P. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Bermejo]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Christodoulou]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Traits for canopy development and light interception by twenty-seven Brazilian sugarcane varieties]]></article-title>
<source><![CDATA[Field Crops Research]]></source>
<year>2020</year>
<volume>249</volume>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dias]]></surname>
<given-names><![CDATA[H. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Inman-Bamber]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Sentelhas]]></surname>
<given-names><![CDATA[P. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Everingham]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Bermejo]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Christodoulou]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[High-yielding sugarcane in tropical Brazil-Integrating field experimentation and modelling approach for assessing variety performances.]]></article-title>
<source><![CDATA[Field Crops Research]]></source>
<year>2021</year>
<volume>274</volume>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dias Neto]]></surname>
<given-names><![CDATA[A. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Albiero]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Rossetto]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Biagi]]></surname>
<given-names><![CDATA[J. D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modeling of mechanized sugarcane harvesting to support decision-making on asset management]]></article-title>
<source><![CDATA[Sugar Tech]]></source>
<year>2022</year>
<volume>24</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>798-812</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Everingham]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Sexton]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Skocaj]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Inman-Bamber]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Accurate prediction of sugarcane yield using a random forest algorithm]]></article-title>
<source><![CDATA[Agronomy for Sustainable Development]]></source>
<year>2016</year>
<volume>36</volume>
<page-range>1-9</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Everingham]]></surname>
<given-names><![CDATA[Y. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Smyth]]></surname>
<given-names><![CDATA[C. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Inman-Bamber]]></surname>
<given-names><![CDATA[N. G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ensemble data mining approaches to forecast regional sugarcane crop production]]></article-title>
<source><![CDATA[Agricultural and Forest Meteorology]]></source>
<year>2009</year>
<volume>149</volume>
<numero>3-4</numero>
<issue>3-4</issue>
<page-range>689-96</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ferraciolli]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bocca]]></surname>
<given-names><![CDATA[F. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Rodrigues]]></surname>
<given-names><![CDATA[L. H. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Neglecting spatial autocorrelation causes underestimation of the error of sugarcane yield models]]></article-title>
<source><![CDATA[Computers and Electronics in Agriculture]]></source>
<year>2019</year>
<volume>161</volume>
<page-range>233-40</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Florentino]]></surname>
<given-names><![CDATA[H. D. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Irawan]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Aliano]]></surname>
<given-names><![CDATA[A. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Jones]]></surname>
<given-names><![CDATA[D. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Cantane]]></surname>
<given-names><![CDATA[D. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Nervis]]></surname>
<given-names><![CDATA[J. J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A multiple objective methodology for sugarcane harvest management with varying maturation periods]]></article-title>
<source><![CDATA[Annals of Operations Research]]></source>
<year>2018</year>
<volume>267</volume>
<page-range>153-77</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Grus]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<source><![CDATA[Data Science do Zero: Primeiras Regras com o Python]]></source>
<year>2016</year>
<page-range>213-24</page-range><publisher-name><![CDATA[Alta Books]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hammer]]></surname>
<given-names><![CDATA[R. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Sentelhas]]></surname>
<given-names><![CDATA[P. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Mariano]]></surname>
<given-names><![CDATA[J. C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sugarcane yield prediction through data mining and crop simulation models]]></article-title>
<source><![CDATA[Sugar Tech]]></source>
<year>2020</year>
<volume>22</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>216-25</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Joshi]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bhosale]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Vyawahare]]></surname>
<given-names><![CDATA[V. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A survey of fractional calculus applications in artificial neural networks]]></article-title>
<source><![CDATA[Artificial Intelligence Review]]></source>
<year>2023</year>
<volume>56</volume>
<page-range>13897-950</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Katal]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Neural Network: Models, Applications, and Challenges]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Tomar]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Hina]]></surname>
<given-names><![CDATA[M.D]]></given-names>
</name>
<name>
<surname><![CDATA[Zitouni]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Ramdane-Cherif]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<source><![CDATA[Innovative Trends in Computational Intelligence]]></source>
<year>2022</year>
<page-range>235-57</page-range><publisher-loc><![CDATA[Cham ]]></publisher-loc>
<publisher-name><![CDATA[EAI/Springer Innovations in Communication and Computing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kathirvel]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Venkatachalam]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Detailed Review for Predicting the Quantity of Sugar from Sugarcane using Various Models]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2024</year>
<volume>2025</volume>
<numero>13</numero>
<issue>13</issue>
<page-range>32122-46</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lim]]></surname>
<given-names><![CDATA[W. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ali]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Advancing knowledge through literature reviews: &#8216;What&#8217;, &#8216;why&#8217;, and &#8216;how to contribute&#8217;]]></article-title>
<source><![CDATA[The Service Industries Journal]]></source>
<year>2022</year>
<volume>42</volume>
<numero>7-8</numero>
<issue>7-8</issue>
<page-range>481-513</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Luciano]]></surname>
<given-names><![CDATA[A. C. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Picoli]]></surname>
<given-names><![CDATA[M. C. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Duft]]></surname>
<given-names><![CDATA[D. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Rocha]]></surname>
<given-names><![CDATA[J. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Leal]]></surname>
<given-names><![CDATA[M. R. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Maire]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm]]></article-title>
<source><![CDATA[Computers and Electronics in Agriculture]]></source>
<year>2021</year>
<volume>184</volume>
</nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Madeiro]]></surname>
<given-names><![CDATA[S. S.]]></given-names>
</name>
<name>
<surname><![CDATA[da Silva Oliveira]]></surname>
<given-names><![CDATA[F. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Alexandre]]></surname>
<given-names><![CDATA[F. B. A.]]></given-names>
</name>
<name>
<surname><![CDATA[de Lima Neto]]></surname>
<given-names><![CDATA[F. B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Intelligent modeling of sugar-cane maturation]]></article-title>
<source><![CDATA[Computers in Agriculture and Natural Resources]]></source>
<year>2006</year>
<page-range>642</page-range><publisher-name><![CDATA[American Society of Agricultural and Biological Engineers]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Matovi&#263;]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Ovesni]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Interaction of quantitative and qualitative methodology in mixed methods research: integration and/or combination]]></article-title>
<source><![CDATA[International Journal of Social Research Methodology]]></source>
<year>2023</year>
<volume>26</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>51-65</page-range></nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Medar]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Rajpurohit]]></surname>
<given-names><![CDATA[V. S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Supervised machine learning techniques for predicting sugarcane yield]]></article-title>
<source><![CDATA[International Journal of Recent Technology and Engineering]]></source>
<year>2019</year>
<volume>8</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>5662-8</page-range></nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Monteiro]]></surname>
<given-names><![CDATA[L. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sentelhas]]></surname>
<given-names><![CDATA[P. C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Potential and actual sugarcane yields in Southern Brazil as a function of climate conditions and crop management]]></article-title>
<source><![CDATA[Sugar Tech]]></source>
<year>2014</year>
<volume>16</volume>
<page-range>264-76</page-range></nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Monteiro]]></surname>
<given-names><![CDATA[L. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sentelhas]]></surname>
<given-names><![CDATA[P. C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sugarcane yield gap: can it be determined at national level with a simple agrometeorological model?]]></article-title>
<source><![CDATA[Crop and Pasture Science]]></source>
<year>2017</year>
<volume>68</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>272-84</page-range></nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nihar]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Patel]]></surname>
<given-names><![CDATA[N. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Danodia]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine-learning-based regional yield forecasting for sugarcane crop in Uttar Pradesh, India]]></article-title>
<source><![CDATA[Journal of the Indian Society of Remote Sensing]]></source>
<year>2022</year>
<volume>50</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>1519-30</page-range></nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pignède]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Roudier]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Diedhiou]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[N'Guessan Bi]]></surname>
<given-names><![CDATA[V. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Kobea]]></surname>
<given-names><![CDATA[A. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Konaté]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Péné]]></surname>
<given-names><![CDATA[C. B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sugarcane yield forecast in Ivory Coast (West Africa) based on weather and vegetation index data]]></article-title>
<source><![CDATA[Atmosphere]]></source>
<year>2021</year>
<volume>12</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>1-22</page-range></nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pravallika]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Karuna]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Anuradha]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Srilakshmi]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep neural network model for proficient crop yield prediction]]></article-title>
<source><![CDATA[International Conference on Design and Manufacturing Aspects for Sustainable Energy]]></source>
<year>2021</year>
<edition>3</edition>
<publisher-name><![CDATA[Institute of Electrical and Electronics Engineers Inc]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Phuphaphud]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Saengprachatanarug]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Posom]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Maraphum]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Taira]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of the fibre content of sugarcane stalk by direct scanning using visible-shortwave near infrared spectroscopy]]></article-title>
<source><![CDATA[Vibrational Spectroscopy]]></source>
<year>2019</year>
<volume>101</volume>
<page-range>71-80</page-range></nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rahman]]></surname>
<given-names><![CDATA[M. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Robson]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Integrating landsat-8 and sentinel-2 time series data for yield prediction of sugarcane crops at the block level]]></article-title>
<source><![CDATA[Remote Sensing]]></source>
<year>2020</year>
<volume>12</volume>
<numero>8</numero>
<issue>8</issue>
</nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Satpathi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chand]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Setiya]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Ranjan]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Nain]]></surname>
<given-names><![CDATA[A. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Vishwakarma]]></surname>
<given-names><![CDATA[D. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Saleem]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Obaidullah]]></surname>
<given-names><![CDATA[A. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Yadav]]></surname>
<given-names><![CDATA[K. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Kisi]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluating statistical and machine learning techniques for sugarcane yield forecasting in the tarai region of North India]]></article-title>
<source><![CDATA[Computers and Electronics in Agriculture]]></source>
<year>2025</year>
<volume>229</volume>
</nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Silva]]></surname>
<given-names><![CDATA[M. D. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[H. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Germino]]></surname>
<given-names><![CDATA[G. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Véliz]]></surname>
<given-names><![CDATA[J. G. E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Effect of ripeners on the nutrient concentrations of sugarcane leaves]]></article-title>
<source><![CDATA[Journal of Plant Nutrition]]></source>
<year>2023</year>
<volume>46</volume>
<numero>15</numero>
<issue>15</issue>
<page-range>3737-58</page-range></nlm-citation>
</ref>
<ref id="B47">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shanthi]]></surname>
<given-names><![CDATA[R. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Alarmelu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Mahadeva Swamy]]></surname>
<given-names><![CDATA[H. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Lakshmi Pathy]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Impact of climate change on sucrose synthesis in sugarcane varieties]]></article-title>
<source><![CDATA[Agro-industrial perspectives on sugarcane production under environmental stress]]></source>
<year>2023</year>
<page-range>13-38</page-range><publisher-name><![CDATA[Springer Nature Singapore]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B48">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shendryk]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Pan]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Craigie]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Stasolla]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ticehurst]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Thorburn]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A satellite-based methodology for harvest date detection and yield prediction in sugarcane]]></article-title>
<source><![CDATA[International Geoscience and Remote Sensing Symposium]]></source>
<year>2020</year>
<publisher-name><![CDATA[Institute of Electrical and Electronics Engineers Inc]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B49">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Souza]]></surname>
<given-names><![CDATA[C. C. de]]></given-names>
</name>
<name>
<surname><![CDATA[Carneiro Jr.]]></surname>
<given-names><![CDATA[J. B. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Cristaldo]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Castelão]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Frainer]]></surname>
<given-names><![CDATA[D. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Viganó]]></surname>
<given-names><![CDATA[H. H. da G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Forecast of the production of sugarcane and its derivatives, through ARIMA, in the period from 2020 to 2025 in the Centro-South macroregion of Brazil]]></article-title>
<source><![CDATA[Research, Society and Development]]></source>
<year>2022</year>
<volume>11</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1-19</page-range></nlm-citation>
</ref>
<ref id="B50">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Werlang]]></surname>
<given-names><![CDATA[M. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Werlang]]></surname>
<given-names><![CDATA[E. P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Water balance and Thornthwaite climatic classification of the camobi neighbourhood, Santa Maria, RS, Brazil]]></article-title>
<source><![CDATA[Revista Geografia Ensino &amp; Pesquisa]]></source>
<year>2021</year>
<volume>25</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>2-26</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
