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Crop And Weed Detection System
International Research Journal of Modernization in Engineering Technology and Scienceopenaire +1 more source
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2021 Innovations in Intelligent Systems and Applications Conference (ASYU), 2021
Non-chemical weeds control is a crucial aspect of sustainable organic agriculture. This paper explored the state-of-the-art deep learning networks applicability for weed detection and proposed a novel, simple deep learning model. The proposed network, CovWNET, is the second smallest network among the implementations compared in this study.
Md. Najmul Mowla, Mustafa Gok
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Non-chemical weeds control is a crucial aspect of sustainable organic agriculture. This paper explored the state-of-the-art deep learning networks applicability for weed detection and proposed a novel, simple deep learning model. The proposed network, CovWNET, is the second smallest network among the implementations compared in this study.
Md. Najmul Mowla, Mustafa Gok
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2023
Weeds cost Australian farmers around $1.5 billion a year in weed control activities and a further $2.5 billion a year in lost agricultural production. Weed management requires a good understanding of weed inventories and distribution for effective management.
Lihong Zheng +6 more
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Weeds cost Australian farmers around $1.5 billion a year in weed control activities and a further $2.5 billion a year in lost agricultural production. Weed management requires a good understanding of weed inventories and distribution for effective management.
Lihong Zheng +6 more
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2021
Conventional weed control methods are based on uniform treatments of the whole field, however, weeds are not distributed uniformly within fields, which means that the uniform distribution of herbicides is inappropriate. Considerable research has been conducted on different aspects of site-specific weed management in the past three decades from ...
S. Christensen +4 more
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Conventional weed control methods are based on uniform treatments of the whole field, however, weeds are not distributed uniformly within fields, which means that the uniform distribution of herbicides is inappropriate. Considerable research has been conducted on different aspects of site-specific weed management in the past three decades from ...
S. Christensen +4 more
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An Ultrasonic System for Weed Detection in Cereal Crops [PDF]
Sensors, 2012 Site-specific weed management requires sensing of the actual weed infestation levels in agricultural fields to adapt the management accordingly. However, sophisticated sensor systems are not yet in wider practical use, since they are not easily available for the farmers and their handling as well as the management practice requires additional efforts ...
Dionisio Andújar +2 more
exaly +6 more sources
International Journal of Multidisciplinary Research and Growth Evaluation
Effective weed detection and management are crucial for ensuring optimal crop growth and yield in agricultural fields, particularly in wheat crops where weed competition can significantly impact productivity. Traditional weed management methods, such as manual scouting, mechanical weeders, and chemical herbicides, have limitations in terms of accuracy,
Mirza Owais Maqsood Baig +3 more
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Effective weed detection and management are crucial for ensuring optimal crop growth and yield in agricultural fields, particularly in wheat crops where weed competition can significantly impact productivity. Traditional weed management methods, such as manual scouting, mechanical weeders, and chemical herbicides, have limitations in terms of accuracy,
Mirza Owais Maqsood Baig +3 more
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Detection and Identification of Weeds
2010This chapter reviews the approaches for the automation of weed detection. Site-specific plant protection needs to address the varying weed infestation, but the automation is only partially solved and research is still ongoing. The properties for plant species distinction as well as approaches that use them are presented.
Martin Weis, Markus Sökefeld
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Detection and Localizing of Rumex Seedlings for Robotic Weeding
2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), 2022Weeds are causing substantial losses for livestock farming and decrease land cultivability in farming. Treating weeds with herbicides is harmful for the environment and we are targeting automatic mechanical weeding of Rumex longifolius in pastures using mobile field robot technologies.
Heikkila, Tapio +3 more
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Semantic segmentation for weed detection in corn
Pest Management ScienceAbstractBACKGROUNDReliable, fast, and accurate weed detection in farmland is crucial for precision weed management but remains challenging due to the diverse weed species present across different fields. While deep learning models for direct weed detection have been developed in previous studies, creating a training dataset that encompasses all ...
Teng Liu +7 more
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