Hyperspectral Response of the Soybean Crop as a Function of Target Spot (<i>Corynespora cassiicola</i>) Using Machine Learning to Classify Severity Levels

Hyperspectral Response of the Soybean Crop as a Function of Target Spot (<i>Corynespora cassiicola</i>) Using Machine Learning to Classify Severity Levels

Plants respond to biotic and abiotic pressures by changing their biophysical and biochemical aspects, such as reducing their biomass and developing chlorosis, which can be readily identified using remote-sensing techniques applied to the VIS/NIR/SWIR spectrum range. In the current scenario of agricu...

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Bibliographic Details
Main Authors: José Donizete de Queiroz Otone, Gustavo de Faria Theodoro, Dthenifer Cordeiro Santana, Larissa Pereira Ribeiro Teodoro, Job Teixeira de Oliveira, Izabela Cristina de Oliveira, Carlos Antonio da Silva Junior, Paulo Eduardo Teodoro, Fabio Henrique Rojo Baio
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:AgriEngineering
Subjects:
disease monitoring
classification analysis
machine learning
precision agriculture
remote sensing
Online Access:https://www.mdpi.com/2624-7402/6/1/20

Internet

https://www.mdpi.com/2624-7402/6/1/20

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