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Weed detection in agricultural fields using machine vision [PDF]
BIO Web of ConferencesWeeds have the potential to cause significant damage to agricultural fields, so the development of weed detection and automatic weed control in these areas is very important.
Moldvai László +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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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 detection utilizing quadratic polynomial and ROI techniques [PDF]
, 2007 Machine vision for selective weeding or selective herbicide spraying relies substantially on the ability of the system to analyze weed images and process the extracted knowledge for decision making prior to implementing the identified control action.
Hussain, Aini +3 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
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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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Classification of Bidens in wheat farms [PDF]
, 2008 Bidens pilosa L (commonly known as cobbler's peg) is an annual broad leaf weed widely distributed in tropical and subtropical regions of the world and is reported to be a weed of 31 crops including wheat. Automatic detection of Bidens in wheat farms is a
Dissanayake, G +4 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 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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A Measurement System for On-line Estimation of Weed Coverage [PDF]
, 1998 This paper describes two different solutions for the estimation of weed coverage. Both measuring systems discriminate the weed from the ground by means of the color difference between the weed and ground and can be used to on-line control tractor ...
Parvis, Marco, Pirola, Marco
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