Estimation of Water Stress in Potato Plants Using Hyperspectral Imagery and Machine Learning Algorithms

Estimation of Water Stress in Potato Plants Using Hyperspectral Imagery and Machine Learning Algorithms

This work presents quantitative detection of water stress and estimation of the water stress level: none, light, moderate, and severe on potato crops. We use hyperspectral imagery and state of the art machine learning algorithms: random decision forest, multilayer perceptron, convolutional neural ne...

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Bibliographic Details
Main Authors: Julio Martin Duarte-Carvajalino, Elías Alexander Silva-Arero, Gerardo Antonio Góez-Vinasco, Laura Marcela Torres-Delgado, Oscar Dubán Ocampo-Paez, Angela María Castaño-Marín
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Horticulturae
Subjects:
water stress
potato
hyperspectral image
machine learning
band importance
Online Access:https://www.mdpi.com/2311-7524/7/7/176

Internet

https://www.mdpi.com/2311-7524/7/7/176

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