Results 11 to 20 of about 144,958 (323)
Review of Current Robotic Approaches for Precision Weed Management [PDF]
The goal of this review is to provide an overview of current robotic approaches to precision weed management. This includes an investigation into applications within this field during the past 5 years, identifying which major technical areas currently preclude more widespread use, and which key topics will drive future development and utilisation ...
Wen Zhang +4 more
semanticscholar +5 more sources
Smart spraying technologies for precision weed management: A review
In this study, the previous work, present status, benefits, and limitations of the state-of-the-art technologies used in smart spraying technologies in precision weed management are reviewed.
Vinay Vijayakumar +3 more
doaj +4 more sources
Computer Vision for Site-Specific Weed Management in Precision Agriculture: A Review [PDF]
Weed management is always a challenge in crop production, exacerbated by the issue of herbicide resistance. Excessive herbicide application not only leads to the development of herbicide resistance weeds but also causes environmental problems.
Puranjit Singh, Biquan Zhao, Yeyin Shi
doaj +4 more sources
Sustainable Approach to Weed Management: The Role of Precision Weed Management [PDF]
In the last few decades, the increase in the world’s population has created a need to produce more food, generating, consequently, greater pressure on agricultural production.
António Monteiro, Sérgio Santos
doaj +6 more sources
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management [PDF]
In this work we demonstrate a rapidly deployable weed classification system that uses visual data to enable autonomous precision weeding without making prior assumptions about which weed species are present in a given field.
Dayoub, Feras +3 more
core +4 more sources
Focus on the Crop Not the Weed: Canola Identification for Precision Weed Management Using Deep Learning [PDF]
Weeds pose a significant threat to agricultural production, leading to substantial yield losses and increased herbicide usage, with severe economic and environmental implications. This paper uses deep learning to explore a novel approach via targeted segmentation mapping of crop plants rather than weeds, focusing on canola (Brassica napus) as the ...
Michael Mckay +6 more
semanticscholar +4 more sources
Straw mulching in conservation tillage farmland can effectively promote land utilization and conservation. However, in this farming mode, surface straw suppresses weed growth, affecting weed size and position distribution and obscuring the weeds, which ...
Xiuhong Wang +5 more
doaj +3 more sources
AI Driven Applications for Precision Weed Management in Agricultural Crops
Agriculture plays a most important role in our Indian economy and therefore lowering the cost of production and improving the quality of agricultural products is highly demanded. A weed is a plant which grows in wrong place at the wrong time and doing mostly harm than crops.
Dr.R .Rubesh Selvakumar
semanticscholar +4 more sources
Remote sensing for precision weed management [PDF]
AbstractHerbicides are important for controlling and avoiding the impact of weeds in reducing crop productivity. Traditionally, herbicides are applied uniformly over crop fields. With the advancement of precision agriculture, it is now possible to apply herbicides site‐specifically with precision operations over the crop fields.
Yanbo Huang +5 more
semanticscholar +4 more sources
Precision farming techniques for sustainable weed management
Weed management in modern agriculture is crucial to avoid yield losses and ensure food security. Climate change, intensive agricultural practices, and natural disasters change weed dynamics, requiring changes in weed management strategies. In addition to labor shortages, manual and chemical control options are no longer viable because of weed ...
Nihal Dwivedi +2 more
semanticscholar +3 more sources

