Results 51 to 60 of about 3,630 (161)
PMDNet: An Improved Object Detection Model for Wheat Field Weed
AgronomyEfficient and accurate weed detection in wheat fields is critical for precision agriculture to optimize crop yield and minimize herbicide usage. The dataset for weed detection in wheat fields was created, encompassing 5967 images across eight well ...
Zhengyuan Qi, Jun Wang
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BonnBot-I Plus: A Bio-Diversity Aware Precise Weed Management Robotic Platform
IEEE Robotics and Automation LettersIn this article, we focus on the critical tasks of plant protection in arable farms, addressing a modern challenge in agriculture: integrating ecological considerations into the operational strategy of precision weeding robots like \bbot. This article presents the recent advancements in weed management algorithms and the real-world performance of \bbot\
Alireza Ahmadi +3 more
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AgricultureStraw 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
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Evaluating precision sprayers for targeted weed management in corn and soybean
Agrosystems, Geosciences & EnvironmentAbstractA targeted application of herbicides in commercial crop fields is desirable for reducing chemical inputs and promoting environmental sustainability. Precision sprayers, equipped with cameras and sensors, detect weeds in real‐time and apply herbicides only where needed.
Adam Leise +4 more
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Effects of drone-assisted precision weed management on irrigated barnyard millet
Plant Science TodayThe research experiment was conducted during the 2023-24 rabi season, to examine the impact of herbicide dosage and spray volume applied through drones on weed control efficiency, aiming to enhance production and maintain soil and plant health in barnyard millet. The study took place at ADAC&RI, TNAU, Tiruchirappalli, Tamil Nadu, India.
VVS Jebalin +7 more
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AgriEngineeringSystemic fluorescence tracers introduced into crop plants provide an active signal for crop–weed differentiation that can be exploited for precision weed management.
Yu Jiang +4 more
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Remote SensingWeeds 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
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Artificial Intelligence in AgricultureEffective weed management plays a critical role in enhancing the productivity and sustainability of cotton cultivation. The rapid emergence of herbicide-resistant weeds has underscored the need for innovative solutions to address the challenges ...
Ameer Tamoor Khan +2 more
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Active Chlorophyll Fluorescence Technologies in Precision Weed Management: Overview and Perspectives
AgricultureWeeds are among the primary factors that adversely affect crop yields. Chlorophyll fluorescence, as a sensitive indicator of photosynthetic activity in green plants, provides direct insight into photosynthetic efficiency and the functional status of the photosynthetic apparatus.
Jin Hu +7 more
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Drone-Based Herbicide Application: Opportunities and Challenges
Weed TechnologyAdvancements in precision agriculture have driven the development of spray drones for herbicide application, offering the potential to address challenges associated with current application methods and improve weed management.
Olumide S. Daramola +8 more
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