Management and edaphoclimatic factors that determine soybean top-performing farmers in Brazil

The integration of meteorological, edaphic, and genetic data with robust analyses such as machine learning and factorial regression helps clarify the factors related to high soybean productivity. This study was developed in order to identify the key management and edaphoclimatic factors determining...

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Bibliographic Details
Main Authors: Victor Delino Barasuol Scarton, Ivan Ricardo Carvalho, Christiane de Fátima Colet, Leonardo Cesar Pradebon, Willyan Júnior Adorian Bandeira, Jaqueline Piesanti Sangiovo, Murilo Vieira Loro, José Antonio Gonzalez da Silva
Format: Article
Language:English
Published: Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas Gerais 2025-08-01
Series:Revista Agrogeoambiental
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Online Access:https://agrogeoambiental.ifsuldeminas.edu.br/index.php/Agrogeoambiental/article/view/1956
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