Non-Productive Vine Canopy Estimation through Proximal and Remote Sensing**This work was supported by Wine Australia
| Autor: | Scarlett Liu, Julie Tang, Michael R. Woods, Mark Whitty, Stephen Cossell |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Canopy
Decision support system 010504 meteorology & atmospheric sciences Pixel 04 agricultural and veterinary sciences 01 natural sciences Vineyard Thresholding Normalized Difference Vegetation Index Geography Control and Systems Engineering 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Stage (hydrology) 0105 earth and related environmental sciences Block (data storage) Remote sensing |
| Zdroj: | IFAC-PapersOnLine. 49:398-403 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2016.10.073 |
| Popis: | Non-productive canopy detection in a viticultural block is a key factor in reducing the drain on infrastructure and improving management practices. However, current methods are significant in cost, biased, and do not provide information on location of non-productive canopy. This paper proposes both a proximal and remote sensing method for assisting in decision support and yield estimation from available technologies. The proximal method utilizes two different measures of green pixel thresholding in video frames, with results providing a useful relative measure of productivity across a vineyard block at the phenological stage of shoots. The remote sensing method utilizes local thresholding and Self-Organizing-Maps on aerial imagery to identify missing vines and total non-productive canopy on a block level. Results indicate the success of this semi-supervised method in providing a useful measure of non-productive canopy at the phenological stage of veraison; laying the groundwork for improved methods in this area. These methods provide practical outputs that lay the foundations for improving management decisions in an automatic and low-cost manner at different times in the season. |
| Databáze: | OpenAIRE |
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