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Related papers: Site-specific weed management in corn using UAS im…

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Currently, weed control in a corn field is performed by a blanket application of herbicides which do not consider spatial distribution information of weeds and also uses an extensive amount of chemical herbicides. In order to reduce the…

Image and Video Processing · Electrical Eng. & Systems 2022-04-29 Ranjan Sapkota , Paulo Flores

Currently, weed control in a corn field is performed by a blanket application of herbicides that do not consider spatial distribution information of weeds and also uses an extensive amount of chemical herbicides. To reduce the amount of…

Computer Vision and Pattern Recognition · Computer Science 2022-06-07 Ranjan Sapkota , Paulo Flores

Uncontrolled growth of weeds can severely affect the crop yield and quality. Unrestricted use of herbicide for weed removal alters biodiversity and cause environmental pollution. Instead, identifying weed-infested regions can aid selective…

Computer Vision and Pattern Recognition · Computer Science 2021-02-22 Shantam Shorewala , Armaan Ashfaque , Sidharth R , Ujjwal Verma

In modern agriculture, usually weeds control consists in spraying herbicides all over the agricultural field. This practice involves significant waste and cost of herbicide for farmers and environmental pollution. One way to reduce the cost…

Computer Vision and Pattern Recognition · Computer Science 2018-06-01 M. Dian. Bah , Adel Hafiane , Raphael Canals

Precise robotic weed control plays an essential role in precision agriculture. It can help significantly reduce the environmental impact of herbicides while reducing weed management costs for farmers. In this paper, we demonstrate that a…

Applying agrochemicals is the default procedure for conventional weed control in crop production, but has negative impacts on the environment. Robots have the potential to treat every plant in the field individually and thus can reduce the…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 Philipp Lottes , Jens Behley , Nived Chebrolu , Andres Milioto , Cyrill Stachniss

Weed and crop segmentation is becoming an increasingly integral part of precision farming that leverages the current computer vision and deep learning technologies. Research has been extensively carried out based on images captured with a…

Computer Vision and Pattern Recognition · Computer Science 2022-10-24 Junfeng Gao , Wenzhi Liao , David Nuyttens , Peter Lootens , Erik Alexandersson , Jan Pieters

Weeds are one of the major reasons for crop yield loss but current weeding practices fail to manage weeds in an efficient and targeted manner. Effective weed management is especially important for crops with high worldwide production such…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Ekin Celikkan , Timo Kunzmann , Yertay Yeskaliyev , Sibylle Itzerott , Nadja Klein , Martin Herold

Reducing the use of agrochemicals is an important component towards sustainable agriculture. Robots that can perform targeted weed control offer the potential to contribute to this goal, for example, through specialized weeding actions such…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 Philipp Lottes , Jens Behley , Andres Milioto , Cyrill Stachniss

Smart weeding systems to perform plant-specific operations can contribute to the sustainability of agriculture and the environment. Despite monumental advances in autonomous robotic technologies for precision weed management in recent…

Computer Vision and Pattern Recognition · Computer Science 2021-12-30 Yayun Du , Guofeng Zhang , Darren Tsang , M. Khalid Jawed

The advancements in precision agriculture are vital to support the increasing demand for global food supply. Precision spot spraying is a major step towards reducing chemical usage for pest and weed control in agriculture. A novel spot…

The site-specific management of weeds in grassland is often challenging because different weed control strategies have different trade-offs regarding the required resources and treatment efficiency. So, the question arises whether a wide…

Applications · Statistics 2022-10-03 Lukas Petrich , Georg Lohrmann , Fabio Martin , Albert Stoll , Volker Schmidt

With the increase in world population, food resources have to be modified to be more productive, resistive, and reliable. Wheat is one of the most important food resources in the world, mainly because of the variety of wheat-based products.…

Robotics · Computer Science 2022-07-01 Behzad Safarijalal , Yousef Alborzi , Esmaeil Najafi

UAV-based image retrieval in modern agriculture enables gathering large amounts of spatially referenced crop image data. In large-scale experiments, however, UAV images suffer from containing a multitudinous amount of crops in a complex…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Maurice Günder , Facundo R. Ispizua Yamati , Jana Kierdorf , Ribana Roscher , Anne-Katrin Mahlein , Christian Bauckhage

Weed scouting is an important part of modern integrated weed management but can be time consuming and sparse when performed manually. Automated weed scouting and weed destruction has typically been performed using classification systems…

Computer Vision and Pattern Recognition · Computer Science 2017-02-28 David Hall , Feras Dayoub , Jason Kulk , Chris McCool

Monitoring crop fields to map features like weeds can be efficiently performed with unmanned aerial vehicles (UAVs) that can cover large areas in a short time due to their privileged perspective and motion speed. However, the need for…

Accurate crop row detection is often challenged by the varying field conditions present in real-world arable fields. Traditional colour based segmentation is unable to cater for all such variations. The lack of comprehensive datasets in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Rajitha de Silva , Grzegorz Cielniak , Junfeng Gao

Modern herbicide application in agricultural settings typically relies on either large scale sprayers that dispense herbicide over crops and weeds alike or portable sprayers that require labor intensive manual operation. The former method…

Organic weed control is a vital to improve crop yield with a sustainable approach. In this work, a directed energy weed control robot prototype specifically designed for organic farms is proposed. The robot uses a novel distributed array…

Robotics · Computer Science 2024-06-03 Deng Cao , Hongbo Zhang , Rajveer Dhillon

Italian ryegrass is a grass weed commonly found in winter wheat fields that are competitive with winter wheat for moisture and nutrients. Ryegrass can cause substantial reductions in yield and grain quality if not properly controlled with…

Computer Vision and Pattern Recognition · Computer Science 2024-10-31 Ishita Bansal , Peder Olsen , Roberto Estevão
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