Lettuce Canopy Area Measurement Using Static Supervised Neural Networks Based on Numerical Image Textural Feature Analysis of Haralick and Gray Level Co-Occurrence Matrix

Lettuce Canopy Area Measurement Using Static Supervised Neural Networks Based on Numerical Image Textural Feature Analysis of Haralick and Gray Level Co-Occurrence Matrix

Leaf canopy area is a fundamental crop growth characteristic that encompasses the spatial area covered by plants. However, non-destructive and automatic computation of lettuce canopy area is still open research. This study presents a vision-based system with color space thresholding and machine lear...

Full description

Bibliographic Details
Main Authors: Ronnie S. Concepcion II, Sandy C. Lauguico, Jonnel D. Alejandrino, Elmer P. Dadios, Edwin Sybingco
Format: Article
Language:English
Published: Universitas Brawijaya 2020-10-01
Series:AGRIVITA Journal of Agricultural Science
Subjects:
biosystems engineering
computational intelligence
intelligent systems
lettuce
machine vision
Online Access:https://agrivita.ub.ac.id/index.php/agrivita/article/view/2528

Internet

https://agrivita.ub.ac.id/index.php/agrivita/article/view/2528

Similar Items