Results 11 to 20 of about 11,448 (161)

TIA-YOLOv5: An improved YOLOv5 network for real-time detection of crop and weed in the field

Frontiers in Plant Science, 2022
IntroductionDevelopment of weed and crop detection algorithms provides theoretical support for weed control and becomes an effective tool for the site-specific weed management. For weed and crop object detection tasks in the field, there is often a large
Aichen Wang, Tao Peng, Huadong Cao, Yifei Xu, Yifei Xu, Xinhua Wei, Bingbo Cui   +6 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, Abuzar Qureshi, Shahriar Ahmad, Yousaira Shahid   +3 more
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Weed Detection in Rice Fields Using Remote Sensing Technique: A Review

Applied Sciences, 2021
This paper reviewed the weed problems in agriculture and how remote sensing techniques can detect weeds in rice fields. The comparison of weed detection between traditional practices and automated detection using remote sensing platforms is discussed ...
Rhushalshafira Rosle, Nik Norasma Che’Ya, Yuhao Ang, Fariq Rahmat, Aimrun Wayayok, Zulkarami Berahim, Wan Fazilah Fazlil Ilahi, Mohd Razi Ismail, Mohamad Husni Omar   +8 more
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WEED DETECTION AND CLASSIFICATION

International Research Journal of Computer Science, 2022
In the agricultural sector, weed detection and categorization are of critical technical and financial relevance. It is possible to automate various processes, such as shape, colour, and texture, in weed control systems. Building a machine vision weed control system that can locate weeds in real-time is the aim of this article. The system is designed to
Sukumar Reddy K S, Bishan M V, Manikanta Sharma Naik R, Charan Kumar Reddy V   +3 more
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Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery

Remote Sensing, 2020
Mid- to late-season weeds that escape from the routine early-season weed management threaten agricultural production by creating a large number of seeds for several future growing seasons.
Arun Narenthiran Veeranampalayam Sivakumar, Jiating Li, Stephen Scott, Eric Psota, Amit J. Jhala, Joe D. Luck, Yeyin Shi   +6 more
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Smart Weed Detection: An Real-Time Weed Detection for Onion Plantation

, 2023
Weed control is fundamental to farming since weeds decline yields, increment creation costs, impede reap and lower item quality. Weeds additionally hinder water system water-stream, obstruct pesticide application, and harbor infection creatures. Early techniques for weed control included hand cultivation with hoes powered cultivation with cultivators ...
Sugany, R, Pruthvi Raj, K, Franckleen David, M K, Santhosh Reddy, Kasireddy   +3 more
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The Application of Hyperspectral Remote Sensing Imagery (HRSI) for Weed Detection Analysis in Rice Fields: A Review

Applied Sciences, 2022
Weeds are found on every cropland across the world. Weeds compete for light, water, and nutrients with attractive plants, introduce illnesses or viruses, and attract harmful insects and pests, resulting in yield loss. New weed detection technologies have
Nursyazyla Sulaiman, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, Abdul Shukor Juraimi, Nisfariza Mohd Noor, Wan Fazilah Fazlil Ilahi   +5 more
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The Weed Plant Detection

International Journal of Engineering and Advanced Technology, 2021
The Knowledge about the distribution of weeds within the sector could also be prerequisite for the site-specific treatment. Optical sensors changes to detect vary weed densities and species which can have mapped using GPS data. Weeds are extracted from the pictures that are using the image processing and therefore the report by the form features.
Geetha V., Gomathy CK, Y.Padmini Reddy, Haripriya V.   +3 more
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Weed detection in agricultural fields using machine vision [PDF]

BIO Web of Conferences
Weeds 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, Ambrus Bálint, Teschner Gergely, Nyéki Anikó   +3 more
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Weed Detection

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 ...
openaire   +1 more source