Results 41 to 50 of about 11,448 (161)
A Two-Stage Weed Detection and Localization Method for Lily Fields Targeting Laser Weeding
AgricultureThe cultivation of edible lilies is highly susceptible to weed infestation during its growth period, and the application of herbicides is often impractical, leading to the rampant growth of diverse weed species.
Yanlei Xu +4 more
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Autonomous Agricultural Robot Using YOLOv8 and ByteTrack for Weed Detection and Destruction
MachinesAutomating agricultural machinery presents a significant opportunity to lower costs and enhance efficiency in both current and future field operations. The detection and destruction of weeds in agricultural areas via robots can be given as an example of ...
Ardin Bajraktari, Hayrettin Toylan
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Supporting Urban Weed Biosecurity Programs with Remote Sensing
Remote Sensing, 2020 Weeds can impact many ecosystems, including natural, urban and agricultural environments. This paper discusses core weed biosecurity program concepts and considerations for urban and peri-urban areas from a remote sensing perspective and reviews the ...
Kathryn Sheffield, Tony Dugdale
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Automated Weed Detection Systems: A Review
KnE Engineering, 2020 A weed plant can be described as a plant that is unwanted at a specific location at a given time. Farmers have fought against the weed populations for as long as land has been used for food production. In conventional agriculture this weed control contributes a considerable amount to the overall cost of the produce.
Shanmugam, Saraswathi +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingRemote sensing data are valuable for detecting, mapping, and managing invasive weed species. This article introduces an innovative algorithm for mapping Siam weed infestations using a bounding box approach from a deep learning object detection model ...
Zulfadli Mawardi +2 more
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Intelligent Weed Management Based on Object Detection Neural Networks in Tomato Crops
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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Machine Learning Based Weed Detection System
International Journal of Applied and Advanced Multidisciplinary Research, 2023 This abstract underscores the importance of weed detection in crop cultivation to prevent plant diseases and minimize crop losses. To address these challenges and promote eco-friendly practices, the authors propose a weed detection program employing K-Nearest Neighbors, Random Forest, Decision Tree algorithms, and the YOLOv5 neural network.
Prathamesh Gajbhiye +1 more
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Weed TechnologyDrone technology and digital image analysis have enabled significant advances in precision agriculture, especially in site-specific treatment of weed escapes in crop fields.
Bholuram Gurjar +8 more
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Smart Agricultural TechnologyThe implementation of a machine-vision system for real-time precision weed management is a crucial step towards the development of smart spraying robotic vehicles.
Sunil G C +7 more
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Crop-Weed Segmentation and Classification Using YOLOv8 Approach for Smart Farming
Journal of Studies in Science and EngineeringAccurately segmenting crop and weed images in agricultural fields is crucial for precision farming and effective weed management. This study introduces a new method that leverages the YOLOv8 object detection model for precise crop and weed segmentation ...
Sandip Sonawane, Nitin N. Patil
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