Machine Vision System for on-Tree Fruit Detection

Abstract

In agriculture the human resource plays a vital role. Especially in fruit cultivation fruit counting for yield assessment and fruit plucking for marketing is time consuming. It also requires more man power, which is expensive today. A machine vision system can be useful to reduce manual work in picking fruits. In the literature a number of machine vision systems with classification and clustering algorithms were proposed to identify the fruits like apple, citrus, jujube and pomegranate. This paper provides a study on machine vision system to detect on-tree fruits that can help in harvesting and counting the yield of the fruits.