Results 31 to 40 of about 283 (97)
Deep convolutional neural network models for weed detection in polyhouse grown bell peppers
Artificial Intelligence in Agriculture, 2022 Conventional weed management approaches are inefficient and non-suitable for integration with smart agricultural machinery. Automatic identification and classification of weeds can play a vital role in weed management contributing to better crop yields ...
A. Subeesh +7 more
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Agronomy, 2022 Site-specific weed control offers a great potential for herbicide savings in agricultural crops without causing yield losses and additional weed management costs in the following years.
Alicia Allmendinger +4 more
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Future Directions for Automated Weed Management in Precision Agriculture
, 2013 In cropping systems, integrated weed management is based on diversification. Rather than relying solely on one or two herbicides, a multiplicity of weed control strategies is employed. Yet, integrated weed management as currently practiced is far from integrated; every weed is still managed the same regardless of location or season.
Young, Stephen L. +2 more
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Frontiers in AgronomyIntroductionUnderstanding regional weed control practices and stakeholder perspectives is essential to guide the development and adoption of novel weed management technologies.
Zaim Ugljic +5 more
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Dataset of annotated food crops and weed images for robotic computer vision control
Data in Brief, 2020 Weed management technologies that can identify weeds and distinguish them from crops are in need of artificial intelligence solutions based on a computer vision approach, to enable the development of precisely targeted and autonomous robotic weed ...
Kaspars Sudars +4 more
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Data in BriefEffective weed management is crucial for maintaining optimal crop growth and achieve higher yield. Recent advancement in robotic technologies and advanced deep learning (DL) models is shaping the future of robotic weed control systems. However, DL models
Arjun Upadhyay +7 more
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Weed Management Methods for Herbaceous Field Crops: A Review
AgronomyWeeds compete with crops for water and nutrients and can adversely affect crop growth and yield, so it is important to research effective weed control methods. This paper provides an overview of the impact of weeds on crop yield and describes the current
Wen-Tao Gao, Wen-Hao Su
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Smart Agricultural TechnologyThe implementation of a machine-vision system for real-time precision weed management is a crucial step towards the development of smart spraying robotic vehicles.
Sunil G C +7 more
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Lightweight Semantic Segmentation Network for Real-Time Weed Mapping Using Unmanned Aerial Vehicles
Applied Sciences, 2020 The timely and efficient generation of weed maps is essential for weed control tasks and precise spraying applications. Based on the general concept of site-specific weed management (SSWM), many researchers have used unmanned aerial vehicle (UAV) remote ...
Jizhong Deng +5 more
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Drone and sensor technology for sustainable weed management: a review
Chemical and Biological Technologies in Agriculture, 2021 Weeds are amongst the most impacting abiotic factors in agriculture, causing important yield loss worldwide. Integrated Weed Management coupled with the use of Unmanned Aerial Vehicles (drones), allows for Site-Specific Weed Management, which is a highly
Marco Esposito +4 more
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