Open AccessMeasuring the Root Length of Peanuts Grown in Rhizotrons Using Computer Vision
Author(s) -
Leonardo Michalski Stefanello,
Leonardo Paillo da Silva,
Luís Henrique Soares Dayrell,
J. F. Teixeira Neto,
Hemerson Pistori,
Higor Henrique Picoli Nucci
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/wvc.2021.18901
Subject(s) - skeletonization , thresholding , root (linguistics) , smoothing , computer science , mathematics , artificial intelligence , computer vision , image (mathematics) , philosophy , linguistics
Peanut is one of the most grown leguminous crops in the world, but it can suffer during water deficit periods. In this paper, a new method to help monitoring root growth for laboratory experiments with this plant is proposed. By using a new combination of smoothing, thresholding, morphological filtering and skeletonization, our method has achieved a correlation of 0.968 with the Tennant's standard approach.