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सीएसबी - केंद्रीय रेशम उत्पादन अनुसंधान एवं प्रशिक्षण संस्थान , मैसूरु

मनंदावाड़ी रोड, श्रीरामपुरा, केंद्रीय रेशम बोर्ड - वस्त्र मंत्रालय - भारत सरकार

CSB – Central Sericultural Research & Training Institute (CSRTI), Mysuru

Manandavadi Road, Srirampura, Central Silk Board, Ministry of Textiles, Government of India

Swachh Bharat Logo

Banavath Samuel Naik

Dr. Dayananda

Banavath Samuel Naik

Scientist-B
Designation :

Scientist-B

Present Posting :

CSB - Central Sericultural Research & Training Institute (CSRTI), Mysuru

Specialization :

Agricultural Statistics

Qualification :
  • B.Sc. (Hons.) Agriculture (Oct 2017-June 2021) Acharya NG Ranga Agricultural University (ANGRAU) Lam, Guntur, Agricultural College, Naira, Andhra Pradesh – 532185.
  • M.Sc. in Agricultural Statistics (Dec 2021-Oct 2023) ICAR - Indian Agricultural Research Institute (IARI), ICAR - Indian Agricultural Statistics Research Institute (IASRI), Division of Sample Survey, Pusa, New Delhi-110012.
Research Work Experience :

Conducted master’s research on “Estimation of Crop Yield at Gram Panchayat Level Using Remote Sensing and Small Area Estimation Techniques.” The study focused on to reduce number of crop cutting experiments (CCEs) in PMFBY and obtained more reliable estimates of crop yield using remote sensing (RS) and small area estimation (SAE) techniques at gram panchayat (GP) level.

Details of research Projects :

N/A

Publications :
Research Articles: 16
  1. Samuel Naik B, Harish Nayak GH and S Govinda Rao. (2023). Prediction of wheat yield by using UAV RGB drone imagery and advanced machine learning techniques. International Journal of Statistics and Applied Mathematics. SP-8(5), 961–969. (NAAS rating: 5.12)
  2. B Samuel Naik, Veershetty, Karthik VC, Moumita Baishya, Suraj Shivalingappa Chinival, Narayanaswamy Jeevan, Mallikarjun B Hanji. (2024). Assessing the profitability of organic agriculture in India: A meta-analytical approach. International Journal of Agriculture Extension and Social Development. 7(9), 321-328. DOI: 10.33545/26180723.2024.v7.i9e.1061. (NAAS rating: 5.04)
  3. Naik, B. Samuel, V C Karthik, B. Manjunatha, Veershetty, Harish Nayak, G. H., B S Varshini, Halesha P and S Govinda Rao. (2024). “Stock Price Forecasting Using N-Beats Deep Learning Architecture”. Journal of Scientific Research and Reports. 30 (9), 483-94. https://doi.org/10.9734/jsrr/2024/v30i92373. (NAAS rating: 5.17)
  4. Naik, B. Samuel, V C Karthik, Veershetty, B S Varshini, A S B Sujith, Halesha P, S Govinda Rao and G. H. Harish Nayak. (2024). “Enhanced Tobacco Yield Prediction Using Spatial Information and Exogenous Variable-Driven Machine Learning Models”. Journal of Scientific Research and Reports. 30 (9), 733-49. https://doi.org/10.9734/jsrr/2024/v30i92401. (NAAS rating: 5.17)
  5. Harika A, Banavath S N. (2023). Climate Change Impact on Forest and Agrobiodiversity: A Special Reference to Anuppur District, Madhya Pradesh. Journal of Agricultural science and Botany. 7(5), 196-203. (Impact factor: 0.49)
  6. Karthik VC, B Samuel Naik, Veershetty, Shreya S Hanji, ASB Sujith, Rakesh Chhalotre. (2024). Spatial and exogenous variable-based machine learning models for enhanced paddy yield prediction. International Journal of Research in Agronomy. 7(8S), 870-880. DOI: 10.33545/2618060X.2024.v7.i8Sk.1402. (NAAS rating: 5.20)
  7. Karthik, V. C., Naik, B. S., Veershetty, R, R., Hanji, S. S. and Godavari. (2024). Rainfall Trend Analysis in Mysuru and Bengaluru Districts of Karnataka, India. International Journal of Environment and Climate Change. 14(9), 139–148. https://doi.org/10.9734/ijecc/2024/v14i94399. (NAAS rating: 5.16)
  8. Karthik, V. C., Naik, B. S., Manjunatha, B., Veershetty, Sujith, A. S. B., P, H. and G. H., H. N. (2024). Advanced Potato Price Prediction through N-BEATS Deep Learning Architecture. Journal of Experimental Agriculture International. 46(9), 362–375. https://doi.org/10.9734/jeai/2024/v46i92833. (NAAS rating: 5.14)
  9. Chhalotre, Rakesh, B. Samuel Naik, V C Karthik, Manoj Varma, Akarsh Singh, Balan C and Ashish Gupta. (2024). “Evaluating Model-Assisted Estimators: A Comparative Study in High-Dimensional Survey Data”. Journal of Scientific Research and Reports. 30 (9), 707-18. https://doi.org/10.9734/jsrr/2024/v30i92398. (NAAS rating: 5.17)
  10. Umesh S.R., B. Samuel Naik, V.C. Karthik, Chethan Kumar K.B., Veershetty, Basavaraj N. Hadimani, Anil Kumar Vyas and Gangaraj R. (2024). Efficacy of botanicals against red pumpkin beetle and their impact on pollinator diversity in pumpkin (Cucurbita pepo L.) cultivation. Indian Journal of Horticulture. 81, 266-270. DOI: 10.58993/ijh/2024.81.3.7. (NAAS rating: 5.58)
  11. Jagadeesh MS, Veershetty, B Samuel Naik, Anil Sidaray Chikkalaki, Chandan HS, Abhishek GJ, Karthik VC. (2024). Economic insights into A2 milk: Production costs and consumption trends in southern Karnataka. International Journal of Agriculture Extension and Social Development. 7(8), 41-48. DOI: 10.33545/26180723.2024.v7.i8a.907. (NAAS rating: 5.04)
  12. Muttanna K, Veershetty, B Samuel Naik, Shiv Prakash Singh, Chethan Kumar KB, Basavaraj N Hadimani, Neelakantappa. (2024). Growth and yield of basmati rice (Oryza sativa L.) cv. Pusa Basmati-1728 as influenced by different levels of nitrogen and bio-inoculants. International Journal of Research in Agronomy. 7(8S), 452-456. DOI: 10.33545/2618060X.2024.v7.i8Sf.1329. (NAAS rating: 5.20)
  13. Veershetty, M. S., J., Naik, B. S., S., R. B., H. S., C., G. J., A., and Y., N. (2024). Consumption Pattern of A2 Milk in Bengaluru City of Karnataka of India. European Journal of Nutrition & Food Safety. 16(8), 275–283. https://doi.org/10.9734/ejnfs/2024/v16i81515. (NAAS rating: 5.14)
  14. Nayak, G. H., Alam, M. W., Naik, B. S., Varshini, B. S., Avinash, G., Kumar, R. R. and Singh, K. N. (2025). Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting. Journal of Big Data. 12(1), 138. https://doi.org/10.1186/s40537-025-01196-5 (Impact factor: 8.6)
  15. Avinash, G., G. H. Harish Nayak, Moumita Baishya, B. Samuel Naik, and Karthik V.C. (2024). “Enhancing Agricultural Commodity Price Forecasting Using Generative Models: A Deep Learning Approach”. Journal of Scientific Research and Reports. 30 (10),1-11. https://doi.org/10.9734/jsrr/2024/v30i102424. (NAAS rating: 5.17)
  16. G.H. Harish Nayak, Md Wasi Alam, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, Samir Barman, K.N. Singh, B. Samuel Naik, Nurnabi Meherul Alam, Prasenjit Pal, Santosha Rathod, Jaiprakash Bisen. (2024). Transformer-based deep learning architecture for time series forecasting. Software Impacts, 22, 100716. (Impact factor: 1.3)
Package : 01

G H Harish Nayak, Md Wasi Alam, B Samuel Naik, G Avinash, Kabilan S, Varshini B S, Mrinmoy Ray, Rajeev Ranjan Kumar. (2024). Transformer Deep Learning Model for Time Series Forecasting. CRAN. https://cran.r-project.org/web/packages/transformerForecasting/index.html

Book chapters : 03
  1. Madhu, Samuel Naik Banavath Manasa Shevakula, Sapna Nigam, Akarsh Sing. (2023). Geographic information systems (GIS) and its applications. In Dr. R. Jayakumar (Ed.), Research Trends in Multidisciplinary Research. 49, 125-150. AkiNik Publications. https://doi.org/10.22271/ed.book.2509.
  2. Madhu, Manasa Shevakula, Samuel Naik Banavath and Avinash C. (2023). Impact of Air Pollution on Environmental Ecosystem. In Saket Kushwaha (Ed.), Climate Change and Agriculture. 8, 39–61. AkiNik Publications. https://doi.org/10.22271/ed.book.2264.
  3. Madhu, Akarsh Singh, Divya Sinha, Samuel Naik Banavath. (2023). Agricultural Insurance for Indian Farmers. In Dr. R. Jayakumar (Ed.), Research Trends in Multidisciplinary Research. 49, 109-123. AkiNik Publications. https://doi.org/10.22271/ed.book.2509.
Popular Articles : 08
  1. Samuel Naik Banavath. (October-2023). Applications of Drones in Agriculture. Just Agriculture multidisciplinary e-Newsletter. 4(2), 25-28.
  2. Samuel Naik Banavath. and Azmeera Swetha Sahithi. (December-2023). AgTech Revolution: How Artificial Intelligence is Transforming Agriculture in 2023. The Agriculture Magazine. 3(3), 162-165.
  3. Samuel Naik Banavath. (January-2024). Carbon Footprint: Understanding, Mitigating and Rectifying Environmental Impact. Agriculture & Food: E-Newsletters. 6(1), 1-5.
  4. Samuel Naik Banavath. and S Govinda Rao. (February-2024). Tech in the Fields: Top Mobile Apps Driving a Revolution in Agriculture for Farmers. Agri-India TODAY. 4(2), 66-70.
  5. Samuel Naik Banavath. (March-2024). Agribots: architects of the agricultural revolution. Agriallis. 6(3), 1-5.
  6. Samuel Naik Banavath. B. Devi Priyanka, Archana A., Karthik V. C., G. H. Harish Nayak. (March-2024). Computer Models in Agriculture: Statistical Weather Analysis and Crop Simulation. The Agriculture Magazine. 3(7), 218-221.
  7. Shevakula Manasa, Samuel Naik Banavath. Avinash C. (March-2024). Climate Adaptation Stategies in Agriculture. Agriculture & Food: E-Newsletters. 6(3), 241-242.

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