Crop Growth Prediction Based On Fruit Recognition Using Machine Vision

International Journal of Computer Trends and Technology (IJCTT)          
© - September Issue 2013 by IJCTT Journal
Volume-4 Issue-9                           
Year of Publication : 2013
Authors :Prof. Suvarna Nandyal, Jagadeesha


Prof. Suvarna Nandyal, Jagadeesha"Crop Growth Prediction Based On Fruit Recognition Using Machine Vision "International Journal of Computer Trends and Technology (IJCTT),V4(9):3132-3138 September Issue 2013 .ISSN Published by Seventh Sense Research Group.

Abstract:- one of the major required growths is for the fruit harvesting system is the efficient locating the fruit on the tree. In this work it is proposed that crop is predicted based on number of fruits grown on crop or plant. Hence already grown plant with fruits is considered for database. The plant images of apple, sapodilla, orange, mango, and guava are considered. The fruit region is located and segmented using edge detection and circular fitting algorithm. For the segmented region morphological operations are adapted to get proper boundary. The colour and shape features are extracted for the fruit region. The plant images are trained by fuzzy logic classifier. The recognition accuracy of 90% is observed. After this label count is applied to get an approximate fruit count. In the proposed work it is observed that crop growth can be predicted based on fruit count with a threshold 2. The accuracy of this prediction is 78%. Here to small, blobs and similar colour accuracy is less. Hence, we have carried out work for predicting the crop growth based on fruit. An automatic system is developed.


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Keywords — Colour space, feature extraction, fruit recognition, fruits, fuzzy logic, segmentation.