Manohar Madgi

Work place: K.L.E. Institute of Technology, Hubli 580030, Karnataka, India



Research Interests: Analysis of Algorithms, Database Management System, Image Processing, Image Manipulation, Image Compression, Software Organization and Properties, Software Creation and Management


Manohar Madgi, Associate Professor at K.L.E. Institute of Technology, Hubli, India. He is currently working toward the Ph.D. degree in the Computer Science & Engineering under JNTU Hyderabad, India. His teaching interests include Digital Image Processing, Algorithms and System Software.

Author Articles
A Neural Network Based Recognition and Classification of Commonly Used Indian Non Leafy Vegetables

By Ajit Danti Manohar Madgi Basavaraj S. Anami

DOI:, Pub. Date: 8 Sep. 2014

A methodology to characterize the commonly used Indian non-leafy vegetables’ images is developed. From the captured images of Indian non-leafy vegetables, color components, namely, RGB and HSV features are extracted, analyzed and classified. A feed forward backpropagation artificial neural network (BPNN) is used for the classification. The results show that it has good robustness and a very high success rate in the range of 96-100% for eight types of vegetables. The work finds usefulness in developing recognition system for super market, automatic vending, packing and grading of vegetables, food preparation and Agriculture Produce Market Committee (APMC).

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