Results 11 to 20 of about 79,354 (341)
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
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WeedNet-R: a sugar beet field weed detection algorithm based on enhanced RetinaNet and context semantic fusion [PDF]
Frontiers in Plant Science, 2023 Accurate and dependable weed detection technology is a prerequisite for weed control robots to do autonomous weeding. Due to the complexity of the farmland environment and the resemblance between crops and weeds, detecting weeds in the field under ...
Zhiqiang Guo +5 more
doaj +2 more sources
Evaluating Cross-Applicability of Weed Detection Models Across Different Crops in Similar Production Environments [PDF]
Frontiers in Plant Science, 2022 Convolutional neural networks (CNNs) have revolutionized the weed detection process with tremendous improvements in precision and accuracy. However, training these models is time-consuming and computationally demanding; thus, training weed detection ...
Bishwa B. Sapkota +3 more
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Intelligent Weed Management Based on Object Detection Neural Networks in Tomato Crops [PDF]
Agronomy, 2022 As the tomato (Solanum lycopersicum L.) is one of the most important crops worldwide, and the conventional approach for weed control compromises its potential productivity. Thus, the automatic detection of the most aggressive weed species is necessary to
Juan Manuel López-Correa +3 more
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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
openalex +2 more sources
OpenWeedLocator (OWL): an open-source, low-cost device for fallow weed detection [PDF]
Scientific Reports, 2022 The use of a fallow phase is an important tool for maximizing crop yield potential in moisture limited agricultural environments, with a focus on removing weeds to optimize fallow efficiency.
Guy Coleman +2 more
doaj +2 more sources
Weed Detection in Maize Fields by UAV Images Based on Crop Row Preprocessing and Improved YOLOv4 [PDF]
Agriculture, 2022 Effective maize and weed detection plays an important role in farmland management, which helps to improve yield and save herbicide resources. Due to their convenience and high resolution, Unmanned Aerial Vehicles (UAVs) are widely used in weed detection.
Haotian Pei +5 more
doaj +2 more sources
International Journal of Multidisciplinary Research and Growth EvaluationEffective weed detection and management are crucial for ensuring optimal crop growth and yield in agricultural fields, particularly in wheat crops where weed competition can significantly impact productivity. Traditional weed management methods, such as manual scouting, mechanical weeders, and chemical herbicides, have limitations in terms of accuracy,
Mirza Owais Maqsood Baig +3 more
openalex +2 more sources
WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification [PDF]
Scientific ReportsWeed detection and classification using computer vision and deep learning techniques have emerged as crucial tools for precision agriculture, offering automated solutions for sustainable farming practices.
Taminul Islam +4 more
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PD-YOLO: a novel weed detection method based on multi-scale feature fusion [PDF]
Frontiers in Plant ScienceIntroductionThe deployment of robots for automated weeding holds significant promise in promoting sustainable agriculture and reducing labor requirements, with vision based detection being crucial for accurate weed identification. However, weed detection
Shengzhou Li +4 more
doaj +2 more sources