Inspection of mango with machine vision technique

Abstract

The entire project deals with development of colour detection and shape identification algorithm to detect and count the total number of mango on its tree with a camera and related MATLAB toolboxes. The conventional method in harvesting mango has its limitation which leads to the degradation of mango's quality. Besides, the rate of production and the structure of the tree will be affected too. Nonetheless, the usage of algorithm of image processing could be employed for a better and precise mango's farming. It differentiates the number of ripe and unripe mango based on the images captured and thus forecast the growth rate of the mango tree. Improving the rate of production as well as quality of the harvested mango are the main advantages. In short, it provides a quick review for the mango grower, agricultural developer and investor.