An expert system for automatically pruning vines (2012)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Computer Science and Software Engineering
University of Canterbury. Human Interface Technology Laboratory
AuthorsCorbett-Davies, S., Botterill, T., Green, R., Saxton, V.show all
Vine pruning is an important part of vineyard management, and pruning is the most expensive task in the vineyard which has not yet been automated. Every year, most new canes must be removed from the vine, and the choice of canes to retain impacts vine yield. To automate the process of vine pruning, a vine pruning robot must make decisions on what canes to remove or to keep, based on a 3D topological model of the structure of the vine. In this paper we present an Artificial Intelligence (AI) system for making these decisions, developed and evaluated using simulated vines. A viticulture expert evaluated our approach by comparing it to pruning decisions made by a pruner with a skill level typical of human pruners. Our system successfully pruned 30% of vines better than the human and 89% at least as well. These results demonstrate that the vine pruning problem is solvable using current computing technologies, and that automating the pruning process has the potential to improve vine quality and yield.
CitationCorbett-Davies, S., Botterill, T., Green, R., Saxton, V. (2012) An expert system for automatically pruning vines. 27th International Conference on Image and Vision Computing New Zealand (IVCNZ '12): Dunedin, New Zealand, 26-28 Nov 2012. Proceedings:, 55-60.
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Keywordsagricultural automation; vine pruning; artificial intelligence; machine learning
ANZSRC Fields of Research08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing
07 - Agricultural and Veterinary Sciences::0703 - Crop and Pasture Production::070399 - Crop and Pasture Production not elsewhere classified