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Predicting coffee yield based on agroclimatic data and machine learning |
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| Authors: | de Oliveira Aparecido Lucas Eduardo Lorençone João Antonio Lorençone Pedro Antonio Torsoni Guilherme Botega Lima Rafael Fausto dade Silva CabralMoraes José Reinaldo |
| Institution: | 1.Federal Institute of Sul de Minas Gerais (IFSULDEMINAS) – Campus Muzambinho, Muzambinho, Minas Gerais, Brazil ;2.Federal Institute of Mato Grosso Do Sul (IFMS) - Navirai, Navirai, Mato Grosso Do Sul, Brazil ;3.Graduate Program in Agronomy (Soil Science) of the State University of Sao Paulo (FCAV/UNESP) - Jaboticabal, Jaboticabal, , Sao Paulo, Brazil ; |
| Abstract: | Theoretical and Applied Climatology - Climate directly and indirectly influences agriculture, being the main responsible for low and high yields. Prior knowledge on yield helps coffee farmers in... |
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