PD
Dr. Pankaj Das
Indian Agricultural Statistics Research Institute, National Academy of Agricultural Research Management
0000-0003-1672-2502
About
I work at ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India. My areas of research interest are Machine Learning, Deep learning, AI, Time Series and Forecasting, Sample Surveys, Remote sensing, and Applied Statistics.
Employment
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Indian Agricultural Statistics Research Institute Scientist2020 - Present
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National Academy of Agricultural Research Management FOCARS Trainee2020 - 2020
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (46)
- A Cointegration-Enhanced SVR Model for Predicting Wholesale Price Index of Fruits Save
- A Comparative Study on the Predictive Ability of Machine Learning Techniques for Spatial Mapping of Soil Properties in Indian Himalayan Region Save
- Comprehensive Analysis of Millets in India: Area, Production, Cost of Production and Export Statistics Save
- Development of multistage crop yield estimation model using machine learning and deep learning techniques Save
- Calibration regression type estimators under two stage sampling design in the presence of non-response Save
- Trend analysis of the changing landscape in the area and production of millet cultivation in India: a review Save
- Randomized response technique in agricultural surveys Save
- Random forest spatial interpolation techniques for crop yield estimation at district level Save
- Prediction approach in repeated measurement surveys: A methodological exploration Save
- Field scale wheat yield prediction using ensemble machine learning techniques Save