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N. Sambasiva Rao

Publications (7)

Assessment of Sowing Windows for Maximizing Seed Yield and Profitability of Green Manure Crops

B. Jyothi Basu, P. Swathi, N. Sambasiva Rao & V. Saida Naik · Journal of Scientific Research and Reports · 2026

A field experiment was conducted during the kharif seasons of 2018–19 and 2019–20 on the clay loam soils of the Agricultural Research Station, Jangamaheswarapuram, Andhra Pradesh. The objective of the experiment was to determine the optimum sowing window for seed production in th...

Open access Research Article 10.9734/jsrr/2026/v32i84466

Performance Evaluation of Different Doses of Triafamone 200 SC on Weed Dynamics of Transplanted Kharif Rice in Agroclimatic Zone of Andhra Pradesh, India

B. Jyothi Basu, P. Swathi, N. Sambasiva Rao, V. Saida Naik & T. Girwani · Archives of Current Research International · 2025

Background: Weed management plays a pivotal role in Rice cultivation, particularly in transplanted Rice systems, where unchecked weed growth can lead to significant yield losses and reduced crop quality. Transplant Rice fields tend to face rampant weed transplant Rice fields tend...

Open access Research Article 10.9734/acri/2025/v25i71349

Efficacy and Phytotoxicity of Triafamone 18.52% SC in Direct Sown Rice and their Residual Effect on Succeeding Blackgram

B. Jyothi Basu, P. Swathi, N. Sambasiva Rao & V. Saida Naik · International Journal of Plant & Soil Science · 2023

Rice (Oryza sativa), the staple food of more than half of the population of the world, is an important target to provide food security and livelihoods for millions. Direct seeding of rice (DSR) refers to the process of establishing the crop from seeds sown in the field rather tha...

Open access Research Article 10.9734/ijpss/2023/v35i203928

Efficacy of Triafamone18.52% SC on Weed Control and Yield in Direct Sown Rice

B. Jyothi Basu, P. Swathi, N. Sambasiva Rao & V. Saida Naik · International Journal of Environment and Climate Change · 2023

A field experiment was conducted for two consecutive years (2017 -18 and 2018-19) at Agricultural Research Station, Jangamaheswarapuram, Guntur Dist. Andhra Pradesh, India. The experiment consisted of nine treatments laid out in a complete randomized block design with four replic...

Open access Research Article 10.9734/ijecc/2023/v13i103118

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