Fruit quality evaluation using Machine Learning: A review
| Autor: | Akash Garg, Amit Kumar, Hitanshu, Parul Kalia |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Scale (chemistry)
media_common.quotation_subject Developing country 04 agricultural and veterinary sciences Agricultural engineering 010501 environmental sciences 040401 food science 01 natural sciences Product (business) 0404 agricultural biotechnology Fruits and vegetables Quality (business) Business 0105 earth and related environmental sciences Export market media_common |
| Zdroj: | 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). |
| DOI: | 10.1109/icicict46008.2019.8993240 |
| Popis: | Automation increases economic growth of the country. By the same time it is also helpful in micro, small, medium and large scale industry. The export market of our country is a leading in terms of exports of fruits. Diseases arises due to contaminated fruits and vegetables has been high in developing countries due to less awareness towards the efficient quality product. The sensory characteristics of fruits are its appearance in terms of color, shape, size etc. This paper presents a overview of different methods, technology and techniques that is implemented to get quality evaluation of fruits. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|