An Efficient Classification Model for Plant Disease Detection
Siri Sumana Kalavala1, Sridevi Sakhamuri2, B B V Satya Vara Prasad3
1Siri Sumana.K, Her Department is ECM, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (A.P), India.
2Sridevi Sakhamuri, Asst.Professor, Her Department is ECM, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
3B B V Satya Vara Prasad, Asst.Professor, His Department is ECM, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 126-129 | Volume-8 Issue-7, May 2019 | Retrieval Number: F3847048619/19©BEIESP
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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: India is an Agriculture based country. Most of our exports and countries income is because of farming. so measures to be taken, which makes farming more easy and secure for the farmers. Plant diseases are emerging all the time. In olden days, experts used to monitor the farm continuously but now technology is changing, plant diseases are recognized automatically. we know that farming is a difficult task. In order to reduce this difficulty many young minds have come up with many techniques. one of those is image processing. Identification of disease involves steps like Image acquisition, pre-processing, segmentation, Feature extraction.
Keyword: Feature extraction, Image acquisition, Image processing, Image pre-processing, Image Segmentation, Plant Diseases.
Scope of the Article: Classification.