Data Mining and Machine Learning Algorithms for Optimizing Maize Yield Forecasting in Central Europe

Data Mining and Machine Learning Algorithms for Optimizing Maize Yield Forecasting in Central Europe

Artificial intelligence, specifically machine learning (ML), serves as a valuable tool for decision support in crop management under ongoing climate change. However, ML implementation to predict maize yield is still limited in Central Europe, especially in Hungary. In this context, we assessed the p...

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Bibliographic Details
Main Authors: Endre Harsányi, Bashar Bashir, Sana Arshad, Akasairi Ocwa, Attila Vad, Abdullah Alsalman, István Bácskai, Tamás Rátonyi, Omar Hijazi, Adrienn Széles, Safwan Mohammed
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Agronomy
Subjects:
maize yield
climate
multilayer perceptron
random forest
optimum model
Online Access:https://www.mdpi.com/2073-4395/13/5/1297

Internet

https://www.mdpi.com/2073-4395/13/5/1297

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