公开(公告)号：US11131657B2

公开(公告)日：2021-09-28

申请号：US16933479

申请日：2020-07-20

Applicant: TECHNION RESEARCH & DEVELOPMENT FOUNDATION LIMITED

Inventor： Raphael Linker ,  Boris Spektor ,  Yevgeniya Orlova

IPC: G01J3/40 ,  G01N33/02 ,  G01N21/3563 ,  G01J3/42 ,  G01N21/84 ,  G01J3/02

Abstract: A system comprising: at least one hardware processor; and a non-transitory computer-readable storage medium having stored thereon program instructions, the program instructions executable by the at least one hardware processor to: receive spectral data acquired from a plurality of fruits, wherein the spectral data is obtained within a specified range of wavelengths, at a training stage, train a machine learning model on a training set comprising: (i) the spectral data, and (ii) labels indicating, with respect to each of the fruits, a drop status within a specified time period subsequent to the acquiring, and at an inference stage, apply the machine learning model to target spectral data acquired from a target fruit, to predict the drop status of the target fruit within a specified time range subsequent to the acquiring.