Idaho university developing yield estimation system
As stated in the FCA proposal for the grant, “accurate fruit yield estimate will impact growers’ decisions about orchard management like planning thinning and harvesting operation, as well as managing packing shed logistics. In addition, fruit crop yield estimates could help the farmer discuss supply capacity with buyers, which could affect selling price by as much as 15 percent.”
Led by mechanical engineering professors Duke Bulanon and John Stutz, an NNU engineering team will develop a vision system to capture images of fruit trees and a computer program that will estimate fruit yield from the image. The FCA will be composed of a certain combination of a color camera, multispectral camera, and stereo camera and is designed to be mounted on a tractor or an autonomous vehicle.
NNU’s Department of Engineering has two other ongoing ISDA specialty crop grant projects: orchard-monitoring drones and IdaBOT. ISDA awarded an NNU engineering team a $70,000 grant to develop orchard-monitoring drones in 2014 and in 2015 an $81,000 grant to develop the IdaBOT, an autonomous robot that can perform time-intensive farm tasks.