Research on Germination Prediction and Varietal Classification for Rice Seed Quality
S. Durai1, C. Mahesh2
1S. Durai*, Research Scholar & Assistant Professor, Department of Computer Science and Engineering, School of Computing, Vel Tech Ranagarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India.
2Dr. C. Mahesh, Associate Professor, Department of Information Technology, School of Computing, Vel Tech Ranagarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 3956-3959 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9890109119/2019©BEIESP | DOI: 10.35940/ijeat.A9890.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In agriculture most of the task done manually by experienced persons. They made decision on the basis of what they feel and see. The prediction result also not giving expected results. For getting the best yield the selection of quality seed is mandatory. But the manual analysis cannot assure the best quality seed. Rice Seed quality estimation can be done by considering the textural features of rice seed image. For this we are going to propose Digital Image processing Techniques to classify and grade the quality of the seed. There are number of digital image processing techniques proposed for classifying the variety of seed and predicting the germination rate of seed. In this paper we are going to summarize the hardware setup, varieties, features extracted, methods or algorithms used and result they obtained. In future we are going to propose a simple grading system for the rice seed quality system can be used by formers.
Keywords: Image processing, Rice seed Quality, Agriculture, Seed germination, Seed classification.