Evaluation of raspberry harvesting by Raspberry-Pi

-5th report: Filter Selection for Multispectral Camera-

Abstract

Raspberries contain ingredients with health benefits, and mechanizing the harvesting work will result in revenue. The purpose of this research is to classify fruits by maturity by machine learning based on reflection spectrum. In the visible reflection spectroscopy, since spectra in which all components contained in the fruit skin etc. overlap are measured, it is impossible to estimate all the individual components in the fruit. In this research, in order to solve this problem, it is necessary to trace the reflection spectrum of individuals of fruits for a certain period of time, utilize machine learning, and finely classify fruits by maturity derived from changes in components in fruits did.