Machine Learning in the Analysis of Multispectral Reads in Maize Canopies Responding to Increased Temperatures and Water Deficit

Real-time monitoring of crop responses to environmental deviations represents a new avenue for applications of remote and proximal sensing. Combining the high-throughput devices with novel machine learning (ML) approaches shows promise in the monitoring of agricultural production. The 3 × 2 multispe...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Josip Spišić, Domagoj Šimić, Josip Balen, Antun Jambrović, Vlatko Galić
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Subjects:	machine learning maize stress heat classification validation
Online Access:	https://www.mdpi.com/2072-4292/14/11/2596