DEEP CONVOLUTIONAL NEURAL NETWORKS FOR WEED DETECTION IN AGRICULTURAL CROPS USING OPTICAL AERIAL IMAGES
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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DEEP CONVOLUTIONAL NEURAL NETWORKS FOR WEED DETECTION IN AGRICULTURAL CROPS USING OPTICAL AERIAL IMAGES ; volume:XLII-3/W12-2020 ; year:2020 ; pages:551-555
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLII-3/W12-2020 (2020), 551-555
- Creator
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Ramirez, W.
Achanccaray, P.
Mendoza, L. F.
Pacheco, M. A. C.
- DOI
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10.5194/isprs-archives-XLII-3-W12-2020-551-2020
- URN
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urn:nbn:de:101:1-2020111204351728560079
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ramirez, W.
- Achanccaray, P.
- Mendoza, L. F.
- Pacheco, M. A. C.
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Computer vision for identifying weeds in crops
Diseases, pests and weeds in tropical crops
Weed suppression with cover crops and undersown crops in modern cropping systems
Modelling the light competition between crops and weeds
Modelling the light competition between crops and weeds
Facilitation of weed seed predation by living mulch and cover crops
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An image analysis and classification system for automatic weed species identification in different crops for precision weed management
An image analysis and classification system for automatic weed species identification in different crops for precision weed management
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SINGLE-IMAGE DEHAZING ON AERIAL IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS
Computer vision for identifying weeds in crops
Diseases, pests and weeds in tropical crops
Weed suppression with cover crops and undersown crops in modern cropping systems
Modelling the light competition between crops and weeds
Modelling the light competition between crops and weeds
Facilitation of weed seed predation by living mulch and cover crops
Estimation of evaporation components in agricultural crops
Land availability for sustainable agricultural tree crops
An image analysis and classification system for automatic weed species identification in different crops for precision weed management
An image analysis and classification system for automatic weed species identification in different crops for precision weed management
Livestock detection in aerial images using a fully convolutional network