Machine Learning (AutoML)-Driven Wheat Yield Prediction for European Varieties: Enhanced Accuracy Using Multispectral UAV Data

Accurate and timely wheat yield prediction is valuable globally for enhancing agricultural planning, optimizing resource use, and supporting trade strategies. Study addresses the need for precision in yield estimation by applying machine-learning (ML) regression models to high-resolution Unmanned Ae...

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Auteurs principaux:	Krstan Kešelj, Zoran Stamenković, Marko Kostić, Vladimir Aćin, Dragana Tekić, Tihomir Novaković, Mladen Ivanišević, Aleksandar Ivezić, Nenad Magazin
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-07-01
Collection:	Agriculture
Sujets:	yield prediction wheat machine learning multispectral indices
Accès en ligne:	https://www.mdpi.com/2077-0472/15/14/1534
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