ANN based Vegetable Quality Detection Using MATLAB

Automation of plant recognition is an important process for the fields working with plants. This presents an approach for plant recognition using Vegetable images. In this study, the proponents demonstrated the development of the system that gives users the ability to identify vegetables based on photographs of the leaves taken with a high definition camera. The output parameters are used to compute well documented metrics for the statistical and shape. Base on the study, the following conclusion are drawn: The system can extract the physical parameters from the Vegetable image that will be used in identifying Vegetables. The aim is to build an accurate, fast and reliable vegetable detection system. From the extracted Vegetable parameters, the system provides the statistical analysis and general information of the identified Vegetable. At the heart of this system is a modernize process of identification, so as to automate the way of identifying the vegetable plants through Vegetable image and digital image processing. The system used the Gabor Filter, Edge Detection, RGB Color and Gray scale Image to acquire the physical parameter of the leaves.