Deep learning approach for crop-weed segmentation in peanut cultivation using PSPEdgeWeedNet. [PDF]
Sci RepPai DG, Balachandra M, Kamath R.
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Detection of commercial crop weeds using machine learning algorithms. [PDF]
Sci RepRamesh P +5 more
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Automated weed segmentation with knowledge based labeling for machine learning applications. [PDF]
Sci RepHa T +5 more
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Short-term responses in weed spatial patterns during early adoption of conservation agriculture practices. [PDF]
Pest Manag SciRozenberg G, Carmel Y, Eshel G, Blank L.
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Modelling the spatial variation in Alopecurus myosuroides for precision weed management [PDF]
Alopecurus myosuroides Huds. (black-grass) grows in patches within fields. This presents\ud an opportunity for site-specific management by patch spraying. Despite the economic\ud and environmental benefits of this type of management, it is not being readily taken\ud up by farmers, largely due to the risk of missing weeds that fall outside of ...
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Deep learning-based temporal change detection of broadleaved weed infestation in rice fields using UAV multispectral imagery. [PDF]
Front Plant SciRosle R +7 more
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Taxonomical loss for weed seedlings image classification. [PDF]
Sci RepFontaine HO +4 more
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Editorial: Precision information identification and integrated control: pest identification, crop health monitoring, and field management. [PDF]
Front Plant SciLi H +6 more
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Ground-based imagery dataset for early weed classification in tomato crops. [PDF]
Data BriefMoreno H, Rivera G, Andújar D.
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Plant growth point localization via epoch-based prior annealing. [PDF]
Sci RepMa C, Zhang Z, Tian F, Huang Y, Yan C.
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