P.N. Harathi

Modeling and Predicting Rice Gall Midge Populations Using Climate Data and Machine Learning Techniques in Andhra Pradesh

P. Lavanya Kumari, I. Paramasiva, U. Vineetha, A. Veeraiah, Sk. Shameem, P.N. Harathi, A.D.V.S.L.P Anand Kumar, M. Siva Rama Krishna, N. Sambasiva Rao, P. Udayababu, J. Manjunath, N. Kamakshi & V. Visalakshmi · International Journal of Environment and Climate Change · 2025

The Asian rice Gall midge (Orseolia oryzae (Wood-Mason) is a major insect pest affecting rice cultivation in South and Southeast Asia, leading to significant yield losses. Developing a reliable system for the timely prediction of this insect is crucial for effective pest manageme...

Open access Research Article 10.9734/ijecc/2025/v15i105076

Climate-Driven Forecasting of Brown Planthopper in Rice Fields Using Hybrid Machine Learning and Time Series Models

P. Lavanya Kumari, I. Paramasiva, U. Vineetha, A. Veeraiah, Sk. Shameem, P.N. Harathi, A.D.V.S.L.P Anand Kumar, M. Siva Rama Krishna, N. Sambasiva Rao, P. Udayababu, J. Manjunath, N. Kamakshi, V. Visalakshmi & P. Siva · International Journal of Environment and Climate Change · 2025

Brown Planthopper (BPH) (Nilaparvata lugens) is a major pest impacting rice production in India, often causing severe yield losses across diverse agro-climatic zones. This study evaluates the predictive capabilities of several statistical and machine learning models using weekly...

Open access Research Article 10.9734/ijecc/2025/v15i64905