1993 Fiscal Year Final Research Report Summary

Study on the Development of Neuro-Chip for the Quality Evaluation of Brown Rice

Research Project

Project/Area Number	03806038
Research Category	Grant-in-Aid for General Scientific Research (C)
Allocation Type	Single-year Grants
Research Field	農業機械
Research Institution	University of Tsukuba
Principal Investigator	SATAKE Takaaki Univ.of Tsukuba, Inst.of Agr.Eng., Assistant Professor, 農林工学系, 講師 (00170712)
Project Period (FY)	1991 – 1993
Keywords	Neural network / Back propagation leanring / Quality evaluation of brown rice / Optical characteristic of brown rice / Neuro-processor
Research Abstract	A simulation of the quality evaluation of brown rice using neural network was carried out as a first step into the development of a neuro-processor for the quality evaluation apparatus. The simulation classifies brown rice to five quality categories based on external appearance according to optical characteristics. The simulation was conducted by changing the number of hidden units and learning cycles of the back-propagation network. Based on the simulation, it was clarified that the judgment level of the neural network was nearly equal to that of information processing of an experienced rice quality evaluator, and the use of neural network was effctive for quality evaluation based on external appearance of brown rice. Furthermore, the BP network program was developed as a program for the neuro-processor and the preparation to converse the program written by C language to the machine language was also conducted.

(4 results)