Results 291 to 300 of about 79,354 (341)
This review highlights the characteristic odor markers of illicit drugs, emphasizing volatile markers from both natural and synthetic sources, and explores the shift from canine‐based detection to emerging noncontact sensing technologies. Illicit drug use remains a global concern, requiring effective detection methods to counter evolving concealment ...
Minwoo Kim +4 more
wiley +1 more source
Detection of commercial crop weeds using machine learning algorithms. [PDF]
Ramesh P +5 more
europepmc +1 more source
Ground-based imagery dataset for early weed classification in tomato crops. [PDF]
Moreno H, Rivera G, Andújar D.
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Crop And Weed Detection System
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Deep learning-based temporal change detection of broadleaved weed infestation in rice fields using UAV multispectral imagery. [PDF]
Rosle R +7 more
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Harnessing hyperspectral imaging and machine learning techniques for accurate discrimination of peanut plants and weeds. [PDF]
Bakhshipour A, Ramezanpour S.
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Proximal hyperspectral detection of rice and weed: characterization and discriminant analysis. [PDF]
Wang Z +8 more
europepmc +1 more source
Enhanced YOLO-based framework for accurate detection and identification of common wheat impurities with distinct objects. [PDF]
Bagherpour H, Peyruo NF.
europepmc +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
openaire +1 more source

