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

K. Kešelj; Z. Stamenković; M. Kostić; V. Aćin; D. Tekić; T. Novaković; M. Ivanišević; A. Ivezić; N. Magazin

doi:10.3390/agriculture15141534

Published July 16, 2025 | Version v1

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

Research article entitled "Machine Learning (AutoML)-Driven Wheat Yield Prediction for European Varieties: Enhanced Accuracy Using Multispectral UAV Data” was published by Agriculture (MDPI)

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URL: https://www.mdpi.com/2077-0472/15/14/1534

European Commission
TALLHEDA - TRANSFORMING ACCESS TO EXCELLENCE WITH SUCCESSFUL ALLIANCES OF HIGHER EDUCATION IN DIGITAL AGRICULTURE 101136578

Accepted: 2025-07-16

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License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Created: October 1, 2025
Modified: October 3, 2025

agriculture-15-01534.pdf

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

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