Results 21 to 30 of about 11,448 (161)
Automatic Weed Detection Robot
, 2023 Automated processes in the field of agriculture have become increasingly reliable and efficient. Farmers face many difficulties due shortage of manpower since it is a time-consuming and tedious task. Robotic systems integrated with various control methods can be very useful in doing repetitive work, such as the seed-sowing process where the same ...
Aayush Kumar Agarwal +4 more
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Weed Density Detection Method Based on Absolute Feature Corner Points in Field
Agronomy, 2020 Field weeds identification is challenging for precision spraying, i.e., the automation identification of the weeds from the crops. For rapidly obtaining weed distribution in field, this study developed a weed density detection method based on absolute ...
Yanlei Xu +5 more
doaj +1 more source
Applied Sciences, 2022 Weed control is a significant means to enhance crop production. Weeds are accountable for 45% of the agriculture sector’s crop losses, which primarily occur because of competition with crops. Accurate and rapid weed detection in agricultural fields was a
Amani Abdulrahman Albraikan +5 more
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Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images
Remote Sensing, 2023 Weeds are a crucial threat to agriculture, and in order to preserve crop productivity, spreading agrochemicals is a common practice with a potential negative impact on the environment.
Ignazio Gallo +5 more
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Weed Detection in Agricultural Fields
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: In this world, agriculture is a vital and necessary component of human nutrition. The majority of people in the world work in agriculture. The economy's agricultural sector is important. Also, it is crucial to reduce prices while raising the calibre of agricultural output. Modern agriculture needs to be more productive in order to meet demand
Pooja V. Baravkar +3 more
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Weed detection in 3D images [PDF]
Precision Agriculture, 2010 Machine vision has been successfully used for mechanical destruction of weeds between rows of crops. Knowledge of the position of the rows where crops should be growing and the assumption that plants growing outside such positions are weeds may be used in such systems.
Piron, Alexis +2 more
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Weed Detection Method Based on Lightweight and Contextual Information Fusion
Applied Sciences, 2023 Weed detection technology is of paramount significance in achieving automation and intelligence in weed control. Nevertheless, it grapples with several formidable challenges, including imprecise small target detection, high computational demands ...
Chi Zhang +5 more
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Agronomy, 2021 Significant advances in weed mapping from unmanned aerial platforms have been achieved in recent years. The detection of weed location has made possible the generation of site specific weed treatments to reduce the use of herbicides according to weed ...
Jorge Torres-Sánchez +4 more
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Deep Learning based Weed Detection
International Journal of Advanced Research in Science, Communication and Technology, 2023 Weeds are one of the most harmful agricultural pests that have a significant impact on crops. Weeds are responsible for higher production costs due to crop waste and have a significant impact on the global agricultural economy. The importance of this problem has promoted the research community in exploring the use of technology to support farmers in ...
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Weed Detection in Maize Fields by UAV Images Based on Crop Row Preprocessing and Improved YOLOv4
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
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