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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…

机器人学 · 计算机科学 2024-06-03 Deng Cao , Hongbo Zhang , Rajveer Dhillon

The rapid advances in Deep Learning (DL) techniques have enabled rapid detection, localisation, and recognition of objects from images or videos. DL techniques are now being used in many applications related to agriculture and farming.…

计算机视觉与模式识别 · 计算机科学 2021-03-03 A S M Mahmudul Hasan , Ferdous Sohel , Dean Diepeveen , Hamid Laga , Michael G. K. Jones

Weeds are a significant threat to the agricultural productivity and the environment. The increasing demand for sustainable agriculture has driven innovations in accurate weed control technologies aimed at reducing the reliance on…

计算机视觉与模式识别 · 计算机科学 2024-02-06 Kun Hu , Zhiyong Wang , Guy Coleman , Asher Bender , Tingting Yao , Shan Zeng , Dezhen Song , Arnold Schumann , Michael Walsh

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…

Selective weeding is one of the key challenges in the field of agriculture robotics. To accomplish this task, a farm robot should be able to accurately detect plants and to distinguish them between crop and weeds. Most of the promising…

计算机视觉与模式识别 · 计算机科学 2017-12-19 Maurilio Di Cicco , Ciro Potena , Giorgio Grisetti , Alberto Pretto

CNN models already play an important role in classification of crop and weed with high accuracy, more than 95% as reported in literature. However, to manually choose and fine-tune the deep learning models becomes laborious and indispensable…

人工智能 · 计算机科学 2022-03-29 Xuetao Jiang , Binbin Yong , Soheila Garshasbi , Jun Shen , Meiyu Jiang , Qingguo Zhou

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…

计算机视觉与模式识别 · 计算机科学 2021-02-22 Shantam Shorewala , Armaan Ashfaque , Sidharth R , Ujjwal Verma

Over the past decade, unprecedented progress in the development of neural networks influenced dozens of different industries, including weed recognition in the agro-industrial sector. The use of neural networks in agro-industrial activity…

计算机视觉与模式识别 · 计算机科学 2021-03-09 Ildar Rakhmatulin

Mobile robots are increasingly utilized in agriculture to automate labor-intensive tasks such as weeding, sowing, harvesting and soil analysis. Recently, agricultural robots have been developed to detect and remove weeds using mechanical…

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…

计算机视觉与模式识别 · 计算机科学 2018-06-01 M. Dian. Bah , Adel Hafiane , Raphael Canals

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…

计算机视觉与模式识别 · 计算机科学 2021-12-30 Yayun Du , Guofeng Zhang , Darren Tsang , M. Khalid Jawed

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…

计算机视觉与模式识别 · 计算机科学 2017-02-28 David Hall , Feras Dayoub , Jason Kulk , Chris McCool

The growth of weeds poses a significant challenge to agricultural productivity, necessitating efficient and accurate weed detection and management strategies. The combination of multispectral imaging and drone technology has emerged as a…

图像与视频处理 · 电气工程与系统科学 2024-08-14 Drishti Goel , Bhavya Kapur , Prem Prakash Vuppuluri

Automatic weeding technologies have attained a lot of attention lately, because of the harms and challenges weeds are causing for livestock farming, in addition to that weeds reduce yields. We are targeting automatic and mechanical Rumex…

机器人学 · 计算机科学 2025-06-18 Jarkko Kotaniemi , Niko Känsäkoski , Tapio Heikkilä

Weed control is a critical challenge in modern agriculture, as weeds compete with crops for essential nutrient resources, significantly reducing crop yield and quality. Traditional weed control methods, including chemical and mechanical…

计算机视觉与模式识别 · 计算机科学 2025-02-11 Dingning Liu , Jinzhe Li , Haoyang Su , Bei Cui , Zhihui Wang , Qingbo Yuan , Wanli Ouyang , Nanqing Dong

The agriculture sector requires a lot of labor and resources. Hence, farmers are constantly being pressed for technology and automation to be cost-effective. In this context, autonomous robots can play a very important role in carrying out…

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…

Climate change, increase in world population and the war in Ukraine have led nations such as the UK to put a larger focus on food security, while simultaneously trying to halt declines in biodiversity and reduce risks to human health posed…

机器人学 · 计算机科学 2023-03-10 Ionut Moraru , Tsvetan Zhivkov , Shaun Coutts , Dom Li , Elizabeth I. Sklar

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…

计算机视觉与模式识别 · 计算机科学 2018-06-12 Philipp Lottes , Jens Behley , Andres Milioto , Cyrill Stachniss

Precision farming robots, which target to reduce the amount of herbicides that need to be brought out in the fields, must have the ability to identify crops and weeds in real time to trigger weeding actions. In this paper, we address the…

计算机视觉与模式识别 · 计算机科学 2018-03-05 Andres Milioto , Philipp Lottes , Cyrill Stachniss
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