Optimizing tomato yield prediction using phenologically timed UAV-based spectral data and machine learning

Accurate yield prediction is critical for optimizing agricultural practices and ensuring food security. This study evaluated the performance of machine learning models in predicting tomato yield using weather data, spectral bands, and vegetation indices under varying nitrogen rates and bio-stimulant...

Full description

Bibliographic Details

Published in:	Smart Agricultural Technology
Main Authors:	Carolina Trentin, Yiannis Ampatzidis, Sotirios Tasioulas, Pavlos Tsouvaltzis
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Subjects:	Artificial intelligence Data-driven agriculture Precision agriculture Predictive modeling Remote sensing
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772375525003909