Review On Normal and Affected Fruit Classification
Main Article Content
Automatic identification and classification of fruit diseases based on their particular symptoms are very useful to farmers and also agriculture scientists. Farmers and scientist are more concerned about fruit safety and quality because India is the second largest producer of fruits. Color and texture feature classification is used for recognition of fruits and to classify whether they are normal and affected fruit images. Color , texture components are extracted from fruit images. The RGB color features and the texture features are reduced in affected fruits. The BPNN classifier can be used for classification to get the improved result. This technique is used in agriculture and horticulture fields.
How to Cite
, C. G. “Review On Normal and Affected Fruit Classification”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 3, no. 5, May 2015, pp. 3425-8, doi:10.17762/ijritcc.v3i5.4466.