Selective Harvesting
Articles & Whitepapers
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Grape Maturity Predictions Made Easy with AI
Grape maturity monitoring is an important task as it is used to make one of the most critical decisions during the growing season - determining when grapes are likely to be ready for harvest. Currently, chemical indicators such as sugar levels, acid content, and pH are used along with qualitative measures (e.g. skin tannins, aroma, and flavour) to monitor grape maturity. As grapes mature, ...
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Project - MacroSystems
In response to a call for proposals by the Advanced Research Projects Agency - Energy (ARPA-E) MARINER program through the U.S. Department of Energy, an international research team under the project ...
News
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NNFCC joins 15 other partners in the newly launched horizon2020-funded beonnat project
BeonNAT is a project that aims to develop innovative products from underutilised plant biomass as feedstock for the bio-based industry. The fed biomass will be derived from shrubs, trees and other woody species. The scope of the project ranges from ...
Equipment & Solutions
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Showcase
Grape-By-Grape Sorting System
Grape-by-grape computer-vision sorting removes the unwanted material from the harvest: green waste, foreign bodies, and unripe or unhealthy berries.