Archana, K.S and Arun, s Computer Vision for Predicting Unhealthy Region of Rice Leaves - A Review. Indian Journal of Environmental Protection, 39 (7). pp. 607-613. ISSN 02537141
ricediseasesurveypaper - ARun sir Paper on 10-2-25.pdf - Published Version
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Abstract
Rice [Oryza sativa) is a very important food crop of Indian overall agricultural economy. Moreover, it is the staple food of southern and eastern India. Since the consumption is more the rice plant has to be analyzed well with its diseases and proper disease control measures should be taken with rice otherwise it gives major economic loss and reduce grain quality. This paper reviews the importance of rice plant infection due to plant pathogen. In the last two decades the scientist draws the attention on automatic plant disease identification from visible symptoms due to the quick development of computer technology, it makes researchers to automatically identify the diseases in plant from early symptoms. This review summarizes completely different survey with numerous ways supported on colour conversion, segmenting the pigment, extracting the features and classifying the disease. Though advancement has taken place some of the challenges were still lacking. To overcome the problem, it concludes with intensive studies on the prediction and classification of rice plant diseases for each methodology. © 2019 - Kalpana Corporation.
| Item Type: | Article |
|---|---|
| Subjects: | Agriculture > Agricultural Engineering |
| Domains: | Computer Science Engineering |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 10 Feb 2026 09:18 |
| Last Modified: | 10 Feb 2026 09:18 |
| URI: | https://ir.vistas.ac.in/id/eprint/12308 |


