Recognition of Green Colour Vegetables' Images Using an Artificial Neural Network
- Title
- Recognition of Green Colour Vegetables' Images Using an Artificial Neural Network
- Creator
- Madgi M.; Danti A.; Anami B.
- Description
- Image processing is used in all the domains including agriculture. In this paper, we have introduced a computationally simple and small feature vector, as a tool for the recognition of green colour vegetable images. The RGB colour system is used and the feature set is computationally economic and performs well on locally available vegetable images. For recognition of vegetable images, an ANN-based classifier is deployed. The recognition percentage is in the scale of 74-100 for 15 vegetable types. This work finds application in the packing of vegetables, food processing, automatic vending. 2019 IEEE.
- Source
- 2019 International Conference on Data Science and Communication, IconDSC 2019
- Date
- 2019-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- ANN classifier; feature vector; horticultural produce; vegetable recognition
- Coverage
- Madgi M., Dept. of Computer Science and Engg., K. L. E. Institute of Technology, Hubballi, India; Danti A., Dept. of Computer Science and Engg., Christ, Deemed to be University, Bengaluru, India; Anami B., K. L. E. Institute of Technology, Hubballi, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-153869319-3
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Madgi M.; Danti A.; Anami B., “Recognition of Green Colour Vegetables' Images Using an Artificial Neural Network,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20782.