An Analysis of Fruit Detection and Yield Estimation Using on Tree Image

In this paper, we present a technique to evaluate citrus fruit yield from the tree images. Manually counting the fruit for yield estimation for marketing and other managerial tasks is time consuming and requires more human resources, which do not always come cheap. Different methods have been used for estimation, yet separation of fruit from its background poses complicated and challenges, and render the exercise inaccurate. In this paper, we use Bicubic Interpolation technique to detect and count the number of fruits from its background, which segments the image accurately thus enabling more accurate yield estimation