Results 11 to 20 of about 12,860 (253)
A lightweight weed detection model for cotton fields based on an improved YOLOv8n [PDF]
Scientific ReportsIn modern agriculture, the proliferation of weeds in cotton fields poses a significant threat to the healthy growth and yield of crops. Therefore, efficient detection and control of cotton field weeds are of paramount importance.
Jun Wang +3 more
doaj +2 more sources
Weed Detection Using Deep Learning: A Systematic Literature Review [PDF]
Sensors, 2023 Muhammad Shoaib Siddiqui +2 more
exaly +2 more sources
Review of Weed Detection Methods Based on Computer Vision [PDF]
Sensors, 2021 Yajun Chen, Xiaobing Kang
exaly +2 more sources
Dataset for weed detection in fruit orchards. [PDF]
Data BriefWeed control in permanent crops remains a costly and environmentally demanding task. While UAV-based imaging has advanced rapidly, publicly available datasets for weed detection in orchard settings are scarce, particularly those including multispectral and multi-temporal acquisitions.
Salcedo-Navarro A +3 more
europepmc +4 more sources
Performance evaluation of deep learning object detectors for weed detection for cotton
Smart Agricultural Technology, 2023 Alternative non-chemical or chemical-reduced weed control tactics are critical for future integrated weed management, especially for herbicide-resistant weeds. Through weed detection and localization, machine vision technology has the potential to enable
Abdur Rahman, Yuzhen Lu, Haifeng Wang
doaj +1 more source
Weed Detection in Rice Fields Using Remote Sensing Technique: A Review
Applied Sciences, 2021 This paper reviewed the weed problems in agriculture and how remote sensing techniques can detect weeds in rice fields. The comparison of weed detection between traditional practices and automated detection using remote sensing platforms is discussed ...
Rhushalshafira Rosle +8 more
doaj +1 more source
Weed Detection Using SVMs [PDF]
Engineering, Technology & Applied Science Research, 2018 The major concern in Pakistani agriculture is the reduction of growing weed. This research aims to provide a weed detection tool for future agri-robots. The weed detection tool incorporates the use of machine-learning procedure explicitly implementing Support Vector Machines (SVMs) and blob analysis for the effective classification of crop and weed ...
Sadia Murawwat +3 more
openaire +2 more sources
WEED DETECTION AND CLASSIFICATION
International Research Journal of Computer Science, 2022 In the agricultural sector, weed detection and categorization are of critical technical and financial relevance. It is possible to automate various processes, such as shape, colour, and texture, in weed control systems. Building a machine vision weed control system that can locate weeds in real-time is the aim of this article. The system is designed to
Sukumar Reddy K S +3 more
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International Journal of Engineering and Advanced Technology, 2021 The Knowledge about the distribution of weeds within the sector could also be prerequisite for the site-specific treatment. Optical sensors changes to detect vary weed densities and species which can have mapped using GPS data. Weeds are extracted from the pictures that are using the image processing and therefore the report by the form features.
V. Geetha +3 more
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International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: The process of weed removal is critical in agricultural fields. The traditional method of weed removal is time consuming and needs more physical labor. The goal is to automatically remove weeds from agricultural fields. Using a deep learning method, the suggested study detects weeds growing between crops and removes them using an automatic ...
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