Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields

Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields

Site-specific weed management and selective application of herbicides as eco-friendly techniques are still challenging tasks to perform, especially for densely cultivated crops, such as rice. This study is aimed at developing a stereo vision system for distinguishing between rice plants and weeds an...

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Bibliographic Details
Main Authors: Mojtaba Dadashzadeh, Yousef Abbaspour-Gilandeh, Tarahom Mesri-Gundoshmian, Sajad Sabzi, Jose Luis Hernández-Hernández, Mario Hernández-Hernández, Juan Ignacio Arribas
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Plants
Subjects:
sustainable agriculture
site-specific management
eco-friendly technique
weed
rice field
metaheuristic algorithm
Online Access:https://www.mdpi.com/2223-7747/9/5/559

Internet

https://www.mdpi.com/2223-7747/9/5/559

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