Visualizing the impact of climatic changes on Pest and Disease Infestation in Rice (Oryza sativa L.)
R. Ruba Mangala1, A. Padmapriya2
1R. Ruba Mangala, Research Scholar, Department of Computer Science, Alagappa University, Karaikudi, India.
2Dr. A. Padmapriya, Associate Professor, Department of Computer Science, Alagappa University, Karaikudi, India.
Manuscript received on 01 August 2019. | Revised Manuscript received on 07 August 2019. | Manuscript published on 30 September 2019. | PP: 8413-8421 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6522098319/2019©BEIESP | DOI: 10.35940/ijrte.C6522.098319
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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: Rice (Oryza sativa L.) is the principal food crop grown in India. Farmers lose about 35% of yield due to pest and disease infestation. To review the impact of weather variables on pest and disease of rice crop, a secondary data from the pest and weather database, Crop pest DSS were analyzed. A correlation study is performed between the pest infestation and the weather parameters to identify the relationship between the pest population and the weather variables. The surveillance data is to be recorded for real time analysis and pest monitoring in different villages of Sivaganga district. With the historical data and on field data a better pest and disease prediction model is to be developed. The weather variables such as Maximum and Minimum temperature, Morning and Evening Relative humidity, Rainfall, wind speed are considered as important factors for crop growth, pest and disease infestation, yield etc.
Keywords: Pest/Disease Infestation, Weather Variables, Prediction Model, Surveillance, Crop Growth, Yield.
Scope of the Article: Health Monitoring and Life Prediction of Structures