Results 111 to 120 of about 11,448 (161)
SEAFEC: a spatial-edge adaptive convolution for multi-scale and boundary-aware plant disease and weed imagery. [PDF]
Front Plant SciSun C, Liu J, He B, Huang L, Lv L.
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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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Agentic AI for smart and sustainable precision agriculture. [PDF]
Front Plant SciSrinivasu PN +5 more
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Crop And Weed Detection System
International Research Journal of Modernization in Engineering Technology and Scienceopenaire +1 more source
Deep learning approach for crop-weed segmentation in peanut cultivation using PSPEdgeWeedNet. [PDF]
Sci RepPai DG, Balachandra M, Kamath R.
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Assessment of three broadleaf weed species classification in rice field using UAV hyperspectral imaging and machine learning. [PDF]
Front Plant SciSulaiman N +5 more
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Extracting the central crop row with CCRDNet for universal in-row navigation in agriculture. [PDF]
Front Plant SciZheng H, Wang Q.
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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
openaire +1 more source
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.
Zheng, Lihong +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.
Zheng, Lihong +6 more
openaire +2 more sources