A fuzzy-optimized hybrid ensemble model for yield prediction in maize-soybean intercropping system

A fuzzy-optimized hybrid ensemble model for yield prediction in maize-soybean intercropping system

Maize-soybean intercropping is a sustainable farming practice that optimizes resource use efficiency and improves yield potential. Accurate yield prediction is essential for effective agricultural management in such systems. This study proposes a Fuzzy-Optimized Hybrid Ensemble Model (FOHEM), integr...

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Bibliographic Details
Main Authors: Amna Ikram, Sunnia Ikram, El-Sayed M. El-kenawy, Adil Hussain, Amal H. Alharbi, Marwa M. Eid
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Plant Science
Subjects:
maize-soybean intercropping
yield prediction
fuzzy inference system
ensemble learning
genetic algorithm
random forest
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1567679/full
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