FruitSpec is developing a system for highly accurate estimates of fruit tree yields — even at the green fruit stage.
FruitSpec’s solution for highly accurate estimates/projections of fruit yields is based on multispectral machine vision technology. Specially-designed FruitSpec sensor pods are mounted on both sides of the tractor and scan the trees as the tractor moves along the orchard rows during regular activity. Applied computer vision and an AI algorithm automatically count and estimate fruit number and size. The customer (grower, packing house) receives reports regarding precise fruit yield and size distribution at both the individual tree level (lowest resolution) and the overall area scanned (highest resolution).
FruitSpec’s target customers have said, “I’ve been waiting for this for years. It will change how I manage my business.”
Incubated: September 2017
Stage: Technology development
Investor: The Trendlines Group
Achievement: Successful proof of concept; market validation/field testing, Radicle Automation Challenge Final Four
Today, key business decisions along the fruit value chain – from growers to retailers – are based on yield estimations performed by farmers/workers using a visual “count” from a sampling of a few trees. These estimations are inaccurate and often result in damaging business decisions. With dramatic fluctuations in fruit yield between seasons (from 10% to 100%), and the lack of solutions for accurate fruit estimations, all the players along the fruit chain are losing revenues.
Bringing accuracy to fruit yield estimation
Raviv Kula, CEO
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