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

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

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