Rating Iron Deficiency in Soybean Using Image Processing and Decision-Tree Based Models

Rating Iron Deficiency in Soybean Using Image Processing and Decision-Tree Based Models

The most efficient way of soybean (<i>Glycine max</i> (L.) Merrill) iron deficiency chlorosis (IDC) management is to select a tolerant cultivar suitable for the specific growing condition. These cultivars are selected by field experts based on IDC visual ratings. However, this visual rat...

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Bibliographic Details
Main Authors: Oveis Hassanijalilian, C. Igathinathane, Sreekala Bajwa, John Nowatzki
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
soybean
iron deficiency chlorosis
image processing
machine learning
AdaBoost
classification
Online Access:https://www.mdpi.com/2072-4292/12/24/4143

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