Results 31 to 40 of about 11,845 (152)

Static laser weeding system based on improved YOLOv8 and image fusion

Journal of Agricultural Engineering
Laser weeding is one of the promising weed control methods for weed management in organic agriculture. However, the complex field environments lead to low weed detection accuracy, which makes it difficult to meet the requirements of high-precision laser
Xiwang Du, Xia Li, Fangtao Duan, Jiawei Hua, Mengchao Hu   +4 more
doaj   +1 more source

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
doaj   +1 more source

A Two-Stage Weed Detection and Localization Method for Lily Fields Targeting Laser Weeding

Agriculture
The 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, Chao Liu, Jiahao Liang, Xiaomin Ji, Jian Li   +4 more
doaj   +1 more source

Utilization of Remote Sensing Dataset and a Deep Learning Object Detection Model to Map Siam Weed Infestations

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote 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, Deepak Gautam, Timothy G. Whiteside   +2 more
doaj   +1 more source

STBNA-YOLOv5: An Improved YOLOv5 Network for Weed Detection in Rapeseed Field

Agriculture
Rapeseed is one of the primary oil crops; yet, it faces significant threats from weeds. The ideal method for applying herbicides would be selective variable spraying, but the primary challenge lies in automatically identifying weeds.
Tao Tao, Xinhua Wei
doaj   +1 more source

Site-Specific Treatment of Late-Season Weed Escapes in Rice Utilizing a Remotely Piloted Aerial Application System

Weed Technology
Drone 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, Bishwa Sapkota, Ubaldo Torres, Isidor Ceperkovic, Matthew Kutugata, Virender Kumar, Xin-Gen Zhou, Daniel Martin, Muthukumar Bagavathiannan   +8 more
doaj   +1 more source

Autonomous Agricultural Robot Using YOLOv8 and ByteTrack for Weed Detection and Destruction

Machines
Automating 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
doaj   +1 more source

HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network

Agronomy
Weeds significantly impact crop yields and quality, necessitating strict control. Effective weed identification is essential to precision weeding in the field.
Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao   +6 more
doaj   +1 more source

An open source workflow for weed mapping in native grassland using unmanned aerial vehicle: using Rumex obtusifolius as a case study

European Journal of Remote Sensing, 2021
Weed control is one of the biggest challenges in organic farms or nature reserve areas where mass spraying is prohibited. Recent advancements in remote sensing and airborne technologies provide a fast and efficient means to support environmental ...
Olee Hoi Ying Lam, Marcel Dogotari, Moritz Prüm, Hemang Narendra Vithlani, Corinna Roers, Bethany Melville, Frank Zimmer, Rolf Becker   +7 more
doaj   +1 more source

Field-based multispecies weed and crop detection using ground robots and advanced YOLO models: A data and model-centric approach

Smart Agricultural Technology
The 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, Arjun Upadhyay, Yu Zhang, Kirk Howatt, Thomas Peters, Michael Ostlie, William Aderholdt, Xin Sun   +7 more
doaj   +1 more source