Sustainable Approach to Weed Management: The Role of Precision Weed Management [PDF]
Agronomy, 2022 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
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Review of Current Robotic Approaches for Precision Weed Management. [PDF]
Curr Robot Rep, 2022 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 ...
Zhang W, Miao Z, Li N, He C, Sun T.
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Smart spraying technologies for precision weed management: A review
Smart Agricultural Technology, 2023 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
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Exploiting adversarial style for generalized and robust weed segmentation in rice paddy field [PDF]
Frontiers in Plant ScienceIn precision agriculture, effective weed management is pivotal for enhancing rice cultivation yield and quality. However, accurately differentiating weeds from rice crops remains a fundamental challenge for precision weeding.
Yaoxuan Zhang +10 more
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Real-time on-device weed identification using a hardware-efficient lightweight CNN [PDF]
Frontiers in Plant ScienceAccurate and timely weed identification is fundamental to sustainable crop management, particularly for autonomous agricultural systems operating under strict energy and hardware constraints.
Yuxuan Zhang +6 more
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Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systemsMendeley Data [PDF]
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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Computer Vision for Site-Specific Weed Management in Precision Agriculture: A Review
AgricultureWeed 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
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WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification [PDF]
Scientific ReportsWeed detection and classification using computer vision and deep learning techniques have emerged as crucial tools for precision agriculture, offering automated solutions for sustainable farming practices.
Taminul Islam +4 more
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Applications of deep learning in precision weed management: A review
Computers and Electronics in Agriculture, 2023 Nitin Rai +6 more
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The Indian Journal of Agricultural Sciences, 2021 The field experiment was conducted during kharif 2019 at ICAR-CURRS-NRRI at Hazaribagh, Jharkhand. The experiment was conducted to evaluate precision nutrient management and weed management practices for achieving minimum weed menace and maximum crop ...
SMRUTI RANJAN PADHAN +4 more
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