Optimize the ripening process for bananas and avocados with ripening room monitoring powered by remote sensors and AI technology

About

FreshCloud Ripening Insight optimize and ultimately transform ripening process decision making for bananas and avocados to deliver consistent color and firmness that meets retailer specifications. Powered by remote sensor ripening room monitoring and AI technology (could potentially be expanded to other fruits that require ripening, e.g., pears, mangos, papayas, kiwifruit, and degreening of citrus) This is accomplished through facilitating the task of identifying the proper cycle and stage of ripeness throughout the ripening process that would greatly benefit the ripener and help determine the exact time for application of the various treatments for optimal results. This methodology would allow ripeners and retailers to understand which ripening process to apply to each load of fruit and to monitor the ripening process in such a way that the fruit will be available at the right time and with the right color, without sacrificing shelf life.

Key Benefits

Yields valuable insights for a more predictable and better fruit consumers prefer. Provide the consistently fresh texture, appearance and flavor Prevent discoloration, reduce waste and improve packout, Early warnings of developing issues so that they can be addressed before they become problems Insights and information for data-driven decisions, especially in regard to room-opening prioritization

Applications

Controls ripening and maintain freshness and quality Enhance grower returns Eliminate or reduce laborious, low value and repetitive tasks such as copying, pasting data in spreadsheets. Scale repetitive inspection and ripening activities Reduction in paper based processes Intelligent sample management requires fewer destructive testing In-depth and earlier understanding of handling, environmental, and process affecting fruit quality.   Transparency of operations Pathways to future machine learning using historical datasets.  

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