| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4759174 | Computers and Electronics in Agriculture | 2017 | 14 Pages |
Abstract
The developed system has an advantage over traditional PCD mapping techniques in that yield variation maps can be obtained earlier in the season, thereby allowing farmers to adjust their management practices for improved outputs. The unsupervised feature selection algorithm combined with unsupervised learning removed the requirement for any prior training or labeling, greatly enhancing the applicability of the overall framework and allows full automation of shoot mapping on a large scale in vineyards.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Scarlett Liu, Steve Cossell, Julie Tang, Gregory Dunn, Mark Whitty,