A Data-Driven Approach to Improve Cocoa Crop Establishment in Colombia: Insights and Agricultural Practice Recommendations from an Ensemble Machine Learning Model

A Data-Driven Approach to Improve Cocoa Crop Establishment in Colombia: Insights and Agricultural Practice Recommendations from an Ensemble Machine Learning Model

This study addresses the critical challenge of the limited understanding of environmental factors influencing cocoa cultivation in Colombia, a region with significant production potential but diverse agroecological conditions. The fragmented nature of the existing agricultural data and the lack of t...

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Bibliographic Details
Main Authors: Leonardo Talero-Sarmiento, Sebastian Roa-Prada, Luz Caicedo-Chacon, Oscar Gavanzo-Cardenas
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:AgriEngineering
Subjects:
cocoa production
Colombia
climate change
data-driven agriculture
ensemble model
machine learning
Online Access:https://www.mdpi.com/2624-7402/7/1/6
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