A. Veeraiah

Usage of Agromet Advisory Services among the Farmers of Y.S.R District of Andhra Pradesh, India

T. Swami Chaitanya, T. Mahesh Babu, A. Veeraiah, K. Sai Maheswari & A. Mamatha · International Journal of Plant & Soil Science · 2022

Weather is one of the most important factors determining the success or failure of agricultural production. It affects every phase of the growth and development of a plant. Extreme weather events like heavy rains, cyclones, heat waves, cold waves, drought, etc cause considerable...

Open access Research Article 10.9734/ijpss/2022/v34i242643

A Hybrid NBINGARCH–Machine Learning Framework for Forecasting Rice Leaf Folder (Cnaphalocrocis medinalis) Populations in Andhra Pradesh, India

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 · Journal of Advances in Biology & Biotechnology · 2026

Rice (Oryza sativa) is a staple food crop that supports global food security, but its production is threatened by the rice leaf folder (Cnaphalocrocis medinalis), a major pest associated with yield losses. Accurate forecasting of leaf folder (LF) populations is important for time...

Open access Research Article 10.9734/jabb/2026/v29i74151

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