Matches in SemOpenAlex for { <https://semopenalex.org/work/W3140101410> ?p ?o ?g. }
- W3140101410 abstract "Weeds are a significant threat to the agricultural productivity and the environment. The increasing demand for sustainable agriculture has driven innovations in accurate weed control technologies aimed at reducing the reliance on herbicides. With the great success of deep learning in various vision tasks, many promising image-based weed detection algorithms have been developed. This paper reviews recent developments of deep learning techniques in the field of image-based weed detection. The review begins with an introduction to the fundamentals of deep learning related to weed detection. Next, recent progresses on deep weed detection are reviewed with the discussion of the research materials including public weed datasets. Finally, the challenges of developing practically deployable weed detection methods are summarized, together with the discussions of the opportunities for future research.We hope that this review will provide a timely survey of the field and attract more researchers to address this inter-disciplinary research problem." @default.
- W3140101410 created "2021-04-13" @default.
- W3140101410 creator A5001763622 @default.
- W3140101410 creator A5016414536 @default.
- W3140101410 creator A5036810618 @default.
- W3140101410 creator A5038865738 @default.
- W3140101410 creator A5042390275 @default.
- W3140101410 creator A5054819263 @default.
- W3140101410 creator A5059555457 @default.
- W3140101410 creator A5069765669 @default.
- W3140101410 creator A5078315542 @default.
- W3140101410 date "2021-03-27" @default.
- W3140101410 modified "2023-09-23" @default.
- W3140101410 title "Deep Learning Techniques for In-Crop Weed Identification: A Review." @default.
- W3140101410 cites W1686810756 @default.
- W3140101410 cites W1901129140 @default.
- W3140101410 cites W1903029394 @default.
- W3140101410 cites W1990492213 @default.
- W3140101410 cites W2033154814 @default.
- W3140101410 cites W2076063813 @default.
- W3140101410 cites W2119821739 @default.
- W3140101410 cites W2163605009 @default.
- W3140101410 cites W2185841109 @default.
- W3140101410 cites W2275815814 @default.
- W3140101410 cites W2292390047 @default.
- W3140101410 cites W2293078015 @default.
- W3140101410 cites W2520364485 @default.
- W3140101410 cites W2560023338 @default.
- W3140101410 cites W2581094540 @default.
- W3140101410 cites W2586062600 @default.
- W3140101410 cites W2586545389 @default.
- W3140101410 cites W2587218622 @default.
- W3140101410 cites W2613718673 @default.
- W3140101410 cites W2617318081 @default.
- W3140101410 cites W2620742659 @default.
- W3140101410 cites W2624423843 @default.
- W3140101410 cites W2739413041 @default.
- W3140101410 cites W2751390451 @default.
- W3140101410 cites W2755766995 @default.
- W3140101410 cites W2766839578 @default.
- W3140101410 cites W2767767563 @default.
- W3140101410 cites W2783018199 @default.
- W3140101410 cites W2884851420 @default.
- W3140101410 cites W2886986190 @default.
- W3140101410 cites W2890003067 @default.
- W3140101410 cites W2893308945 @default.
- W3140101410 cites W2898498213 @default.
- W3140101410 cites W2911717393 @default.
- W3140101410 cites W2915011392 @default.
- W3140101410 cites W2926464840 @default.
- W3140101410 cites W2937598226 @default.
- W3140101410 cites W2944014569 @default.
- W3140101410 cites W2951467890 @default.
- W3140101410 cites W2954996726 @default.
- W3140101410 cites W2957122950 @default.
- W3140101410 cites W2962773068 @default.
- W3140101410 cites W2962949934 @default.
- W3140101410 cites W2962953743 @default.
- W3140101410 cites W2963037989 @default.
- W3140101410 cites W2963150697 @default.
- W3140101410 cites W2963351448 @default.
- W3140101410 cites W2963407932 @default.
- W3140101410 cites W2963446712 @default.
- W3140101410 cites W2963521239 @default.
- W3140101410 cites W2963858333 @default.
- W3140101410 cites W2963881378 @default.
- W3140101410 cites W2964081807 @default.
- W3140101410 cites W2964311892 @default.
- W3140101410 cites W2964350391 @default.
- W3140101410 cites W2966975099 @default.
- W3140101410 cites W2969316371 @default.
- W3140101410 cites W2969841436 @default.
- W3140101410 cites W2973282505 @default.
- W3140101410 cites W2974317861 @default.
- W3140101410 cites W2982083293 @default.
- W3140101410 cites W2982770724 @default.
- W3140101410 cites W2986154667 @default.
- W3140101410 cites W2993182889 @default.
- W3140101410 cites W2998514016 @default.
- W3140101410 cites W3005941526 @default.
- W3140101410 cites W3008515144 @default.
- W3140101410 cites W3011634111 @default.
- W3140101410 cites W3020975691 @default.
- W3140101410 cites W3022353848 @default.
- W3140101410 cites W3022554249 @default.
- W3140101410 cites W3030364939 @default.
- W3140101410 cites W3031965526 @default.
- W3140101410 cites W3034681942 @default.
- W3140101410 cites W3034826836 @default.
- W3140101410 cites W3039883906 @default.
- W3140101410 cites W3039926407 @default.
- W3140101410 cites W3044381974 @default.
- W3140101410 cites W3045780708 @default.
- W3140101410 cites W3106250896 @default.
- W3140101410 hasPublicationYear "2021" @default.
- W3140101410 type Work @default.
- W3140101410 sameAs 3140101410 @default.
- W3140101410 citedByCount "0" @default.
- W3140101410 crossrefType "posted-content" @default.
- W3140101410 hasAuthorship W3140101410A5001763622 @default.