A support vector machine and image processing based approach for counting open cotton bolls and estimating lint yield from UAV imagery

A support vector machine and image processing based approach for counting open cotton bolls and estimating lint yield from UAV imagery

Cotton boll count is an important phenotypic trait that aids in a better understanding of the genetic and physiological mechanisms of cotton growth. Several computer vision technologies are available for cotton boll segmentation. However, estimating the number of cotton bolls in a segmented cluster...

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Bibliographic Details
Main Authors: Arun Bawa, Sayantan Samanta, Sushil Kumar Himanshu, Jasdeep Singh, JungJin Kim, Tian Zhang, Anjin Chang, Jinha Jung, Paul DeLaune, James Bordovsky, Edward Barnes, Srinivasulu Ale
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Smart Agricultural Technology
Subjects:
Machine learning
Supervised classification
Remote sensing
Phenotyping
Otsu thresholding
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375522001046

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http://www.sciencedirect.com/science/article/pii/S2772375522001046

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