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Exploiting adversarial style for generalized and robust weed segmentation in rice paddy field. [PDF]
Zhang Y +7 more
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Associations among weed communities, management practices, and environmental factors in U.S. snap bean (Phaseolus vulgaris) production. [PDF]
Pavlovic P +11 more
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Identification and evaluation of bioactive compounds of annoni grass in weeds
Adriana Favaretto
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Overview of glyphosate‐resistant weeds worldwide
Pest Management Science, 2018Ian M Heap, Stephen O Duke
exaly +2 more sources
A Novel Deep Learning-Based Method for Detection of Weeds in Vegetables.
Pest Management Science, 2022BACKGROUND Precision weed control in vegetable fields can substantially reduce the required weed control inputs. Rapid and accurate weed detection in vegetable fields is a challenging task due to the presence of a wide variety of weed species at various ...
Xiaojun Jin +5 more
semanticscholar +1 more source
Effect of Irrigation, Nitrogen Sources, and Metribuzin on Performance of Maize and Its Weeds
Communications in Soil Science and Plant Analysis, 2022Exploiting water and nutrients by crop plants is limiting by abundance of undesirable plant species viz weeds due to their competitiveness ability, affecting crop productivity and quality.
H. Saudy, Ibrahim Mohamed El–Metwally
semanticscholar +1 more source
The evolution of herbicide resistance in crop weeds presents one of the greatest challenges to agriculture and the production of food. Herbicide resistance has been studied for more than 60 yr, in the large part by researchers seeking to design effective
Regina S Baucom
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A deep learning-based method for classification, detection, and localization of weeds in turfgrass.
Pest Management Science, 2022BACKGROUND Precision spraying of synthetic herbicides can reduce herbicide input. Previous research demonstrated the effectiveness of using image classification neural networks for detecting weeds growing in turfgrass but did not attempt to discriminate ...
Xiaojun Jin +4 more
semanticscholar +1 more source

