Automated Tomato Grading System Using Image Processing and Fuzzy Logic

The book "Automated Tomato Grading System Using Image Processing and Fuzzy Logic" offers a comprehensive analysis of the application of modern technologies in agriculture, particularly in the area of tomato sorting. It explains how image processing and fuzzy logic methods are implemented in Matlab to develop an automated system for classifying tomatoes. The authors, Rionel Caldo and Lenard Dorado, present an innovative concept that can enhance efficiency in agriculture by replacing manual processes with automated solutions. The system utilizes an Arduino UNO microcontroller to control the hardware and implements a conveyor system powered by a DC motor. Image processing is carried out using the L*a*b color space and K-Means clustering to classify the quality of tomatoes into the categories "good," "fair," and "bad." This work is a valuable resource for professionals and students interested in the integration of technology in agriculture.