NTT East, NTT agri technology and Kintetsu real estate carry out the feasibility study which predicts the crop yields of tomato one week after in “Kintetsu farm Hana Yoshino” which the Kintetsu real estate manages.

When shipping tomato, it is necessary to notify the customer of shipment volume before first weeks of shipping date. The cultivation person in charge has predicted and determined the crop yields of the whole house based on the degree of ripeness status of tomato.

However, there are stockout at the time of shipment by the prediction error of crop yields and fear of discard loss.
In order to solve these problems, they apply AI and image analysis.