Enhancing Crop Yield Predictions with PEnsemble 4: IoT and ML-Driven for Precision Agriculture

This research introduces the PEnsemble 4 model, a weighted ensemble prediction model that integrates multiple individual machine learning models to achieve accurate maize yield forecasting. The model incorporates unmanned aerial vehicle (UAV) imagery and Internet of Things (IoT)-based environmental...

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Bibliografiske detaljer

Principais autores:	Nisit Pukrongta, Attaphongse Taparugssanagorn, Kiattisak Sangpradit
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-04-01
Serier:	Applied Sciences
Fag:	ML-based precision agriculture IoT-based precision agriculture sustainable agriculture PEnsemble 4 maize yield prediction spatial prediction
Online adgang:	https://www.mdpi.com/2076-3417/14/8/3313
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