SB
SAMIR BARMAN
Indian Grassland and Fodder Research Institute, ICAR-Indian Agricultural Statistics Research Institute, ICAR- Indian Agricultural Research Institute
About
Working as a Scientist at ICAR-Indian Grassland and Fodder Research Institute, Jhansi, under Indian Council of Agricultural Research. Received the Ph.D. degree in Agricultural Statistics from the ICAR-Indian Agricultural Research Institute, New Delhi, India, in 2023. My current research interests include Time Series Modeling and Forecasting, Bootstrapping, Deep learning, Survey Methodology.
Employment
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Indian Grassland and Fodder Research Institute Scientist2024 - Present
Education
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ICAR-Indian Agricultural Statistics Research Institute Ph.D.2017 - 2023
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ICAR- Indian Agricultural Research Institute MSc2015 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- Statistical evaluation of precipitation pattern via time series clustering: insights into the Bundelkhand region Save
- Livelihood and energy-carbon dynamics of livestock-based integrated farming system: Assessment and implications for sustainable farming Save
- A multi-scale evaluation of 30 empirical models for reference evapotranspiration estimation in a data-scarce semi-arid region: A case study of Jhansi, India Save
- Development of statistical models for analysis of seed germination behaviour of rice (Oryza sativa L.) under differential temperature and water potential Save
- Automated mushroom classification: a PyCaret-optimized machine learning tool for identifying poisonous and edible mushrooms Save
- Predicting Kiwifruit Yield Using Machine Learning: Insights from Morphological Characteristics Save
- A Comparative Study on the Predictive Ability of Machine Learning- and Deep Learning-Based Yield Prediction Model in Horticulture: A Case Study of Apple Save
- Comprehensive Analysis of Millets in India: Area, Production, Cost of Production and Export Statistics Save
- Engineering interventions for high biofuel production in forage crops Save
- Genetic Algorithm optimized splitting based classification tree model with application to agricultural ergonomics Save