Assessing the Capability and Potential of LiDAR for Weed Detection.

Shahbazi, Nooshin; Ashworth, Michael B; Callow, J Nikolaus; Mian, Ajmal; Beckie, Hugh J; Speidel, Stuart; Nicholls, Elliot; Flower, Ken C

Shahbazi, Nooshin; Ashworth, Michael B; Callow, J Nikolaus; Mian, Ajmal; Beckie, Hugh J; Speidel, Stuart; Nicholls, Elliot; Flower, Ken C.

Affiliation

Shahbazi N; UWA School of Agriculture and Environment, The University of Western Australia, Crawley, Stirling Highway, WA 6009, Australia.
Ashworth MB; Australian Herbicide Resistance Initiative, The University of Western Australia, Crawley, Stirling Highway, WA 6009, Australia.
Callow JN; UWA School of Agriculture and Environment, The University of Western Australia, Crawley, Stirling Highway, WA 6009, Australia.
Mian A; Australian Herbicide Resistance Initiative, The University of Western Australia, Crawley, Stirling Highway, WA 6009, Australia.
Beckie HJ; UWA School of Agriculture and Environment, The University of Western Australia, Crawley, Stirling Highway, WA 6009, Australia.
Speidel S; UWA School of Computer Science and Software Engineering, The University of Western Australia, Crawley, Stirling Highway, WA 6009, Australia.
Nicholls E; UWA School of Agriculture and Environment, The University of Western Australia, Crawley, Stirling Highway, WA 6009, Australia.
Flower KC; Australian Herbicide Resistance Initiative, The University of Western Australia, Crawley, Stirling Highway, WA 6009, Australia.

Sensors (Basel) ; 21(7)2021 Mar 26.

Article in En | MEDLINE | ID: mdl-33810604

Key words

light detection and ranging (LiDAR) sensors; scanning distance; target orientation; target size; weed detection

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Australia Country of publication: Switzerland

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