Results 221 to 230 of about 12,860 (253)
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Multichannel Analysis in Weed Detection

Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2023
Hericles Felipe Ferraz   +4 more
openaire   +1 more source

Multi-spectral vision system for weed detection

Pattern Recognition Letters, 2001
Summary: The proposed online system distinguishes crop from weeds based on multi-spectal reflectance gathered with an imaging spectrograph. Under field conditions, up to 86\% of the vegetation samples (80\% of crop, 91\% of weed) were recognized herbicide reductions of up to 90\%.
F. Feyaerts, Luc Van Gool
openaire   +2 more sources

Algorithm of Weed Detection in Crops by Computational Vision

2019 International Conference on Electronics, Communications and Computers (CONIELECOMP), 2019
This research has been based on the use of precision agriculture tools for the management of weeds in crops. It has focused on the creation of an image-processing algorithm to detect the existence of weeds in a specific site of crops. The main objective has been to obtain a formula so that a weed detection system can be developed through binary ...
A. J. Irias Tejeda, R. Castro Castro
openaire   +2 more sources

A Review on Weed Detection

SSRN Electronic Journal, 2022
Thulasi Anup, Arjun Prabhudas
openaire   +1 more source

A REVIEW OF WEED DETECTION AND CONTROL ROBOTS: A WORLD WITHOUT WEEDS

2016
The population demands for food will significantly increase within the next few years, and that can only be sustained by doubling current food production worldwide. In order to achieve this, a transformational change through the development and adoption of new sustainable farm management practices technologies such as agricultural robots is required ...
S. O. FADLALLAH, K. M. GOHER
openaire   +1 more source

WEED DETECTION AND EXTRACTION ROBOT

International Scientific Journal of Engineering and Management
Abstract—Agriculture has been a major part of our lifestyle since decades. Life cannot exist without it. It is the main source of livelihood for many people worldwide. It is the back bone of the economic system and plays a critical role in the entire life of a given economy. Weeds are the most important biotic constraints to agriculture production.
openaire   +1 more source

A survey of deep learning techniques for weed detection from images

Computers and Electronics in Agriculture, 2021
Michael Jones   +2 more
exaly  

Water Weed Hyacinth Detection

2023 International Conference on Integration of Computational Intelligent System (ICICIS), 2023
Archana Chaudhari   +3 more
openaire   +1 more source

Weed detection in sesame fields using a YOLO model with an enhanced attention mechanism and feature fusion

Computers and Electronics in Agriculture, 2022
Jiqing Chen, Zhikui Wang, Tian Luo
exaly  

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