Paper Title
Prediction of rice blast disease using integrated smote and multilayer perceptron
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Registration ID: IJNRD_214822
Published ID: IJNRD2403221
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Abstract
Agriculture is the primary source of income for the major population of India. Agriculture generates 17% of the total GDP of India and India is the second-largest producer of rice and wheat. Rice (Oryza sativa) is a major food crop for many parts of India. India has the largest area under ricecultivation; hencericeis the important crop of the country.Riceis such amajor cereal crop, which provides 20% of total energy and leads as the main food for more than 50% of the world's population. Rice production has been challenged by recent changes in crop production technologies, that also has impact on disease occurrence. Thus, crop management includes extensive use of fertilization, repeated flooding increases the disease problem,increased mono culture of rice helps in support to fpathogens from one crop to another crop.The Rice crop in India has affected by many pathogens. Among 36 rice diseases, rice blast is the disease caused by Magnaporthe Oryae, is the major destructive disease of paddy crop.This disease having significant threat to the production of paddy crops all over the country.Rice blast continuesto beacryptic problem in several rice-growing regions(tropicaland temporal) where the pathogen spreads exponentially and is difficult to manage by the farmers and thus reduces yield of paddy crop in the field. In India, rice blast is a major concern due to favourable weather conditions during the crop season. Climate plays major role in the disease appearance, multiplication, and spread of the fungus. Along with climatic factors,the varieties of seeds also influence the occurrence of riceblasts, primarily the climate factors have a strong influence on the occurrence of blast disease even though a sufficient amount of nutrients are present in the plant. Thus, rice blast disease will occur and develop when certain weather conditions continue for the given period.Forecasting models that make predictions of possible blast disease occurrence may give important information to the producers of rice to manage the disease.This Project the rice blast disease prediction using data balancing technique based multilayer perceptron.
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Dr.A.Mummoorthy, Prakhar Shukla , Rajuri Rohith , & Puli Harini (March-2024). Prediction of rice blast disease using integrated smote and multilayer perceptron . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), c151-c154. https://ijnrd.org/papers/IJNRD2403221.pdf
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Volume 9 Issue 3, March-2024
Pages : c151-c154
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Paper Reg. ID: IJNRD_214822
Published Paper Id: IJNRD2403221
Research Area: Engineering
Author Type: Indian Author
Country: Hyderabad, Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403221.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403221
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