Dr Pankaj Das

@iasri.icar.gov.in

Scientist, Sample Surveys
ICAR - Indian Agricultural Statistics Research Institute

Dr Pankaj Das


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https://researchid.co/pankaj_stat

RESEARCH, TEACHING, or OTHER INTERESTS

Agricultural and Biological Sciences, Statistics and Probability, Computational Mathematics, Artificial Intelligence
285

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • A machine learning approach for analysis of genotypic and phenotypic variability in rice (Oryza Sativa L.) for drought stress screening
    N Roy, B Ahmed, A Yadav, A Tripathi, M Barman, P Das, U Manzoor
    Plant Gene , 2026
    2026
  • A study of the statistical trends and trade dynamics of sericulture in India
    R Banerjee, Bharti, P Das, K Aditya, B Ahmed, S Devi, A Rangi, Ankita
    Agricultural Science Digest , 2026
    2026
  • Machine learning based crop yield estimation using geospatial data: a case study
    A Aktar, PM Sahoo, T Ahmad, A Biswas, P Das
    76th Annual Conference of Indian Society of Agricultural Statistics (ISAS … , 2026
    2026
  • Robust estimation under survey data integration in presence of outliers
    R Banerjee, P Das, K Aditya, A Biswas, T Ahmad
    76th Annual Conference of Indian Society of Agricultural Statistics (ISAS … , 2026
    2026
  • Finite Population Parameter Estimation using Survey Weighted Machine Learning Approach
    P Das, A Biswas, T Ahmad, PM Sahoo
    76th Annual Conference of Indian Society of Agricultural Statistics (ISAS … , 2026
    2026
  • A comparative study of ensemble-based imputation techniques for handling missing data
    RK Divyeshbhai, P Das, T Ahmad, A Biwas, A TD
    International Journal of Statistics and Applied Mathematics 11 (1), 120-124 , 2026
    2026
  • Calibration Regression Type Estimators under Two Stage Sampling Design in the Presence of Non-Response.
    SM Nasrin, K Aditya, V I.C, Bharti, D Singh, P Das, T Ahmad
    Communications in Statistics - Simulation and Computation, 1532-4141 , 2025
    2025
  • Sampling design and estimation procedure for energy audit and carbon footprints for onion crop in India
    A Kaustav, Bharti, P Das, R Banerjee, T Rathinakumari, A. C., Ahmad, ...
    Scientific Reports 15 (1) , 2025
    2025
  • Drone-Based Crop Yield Estimation using Remote Sensing and Machine Learning
    P Das, T Ahmed, PM Sahoo, A Biswas, M Alam
    Emerging Science, Technology, and Innovation Conclave (ESTIC 2025) at New Delhi , 2025
    2025
  • A Machine Learning based Ensemble Imputation Technique for Complex Survey
    RK Divyeshbhai, P Das, T Ahmad, A Biwas, TD Arpitha
    International Conference on Mathematical and Computational Frontiers for … , 2025
    2025
  • Remote Sensing and Google Earth Engine for Surface and Groundwater Quality Assessment
    NC Paul, R Banejee, P Navyasree, Bharti, P Das, T Ahmad
    Surface Water and Groundwater Quality for Sustainable Utilization , 2025
    2025
  • A Survey-Weighted SVR Estimator: Methodology and Application to Real Data
    P Das, A Biswas, T Ahmad, PM Sahoo
    International Conference on Mathematical and Computational Frontiers for … , 2025
    2025
  • Copyright on "Eliss Data Collection App V2.0 for Generating Livestock Statistics in India"
    PM Sahoo, T Ahmad, A Rai, A Biswas, R Kumar, R Banerjee, P Das, ...
    Copyrights Office, Govt. of India , 2025
    2025
  • Copyright on "Eliss Web Portal for Generating Livestock Statistics in India"
    PM Sahoo, T Ahmad, A Rai, A Biswas, R Banerjee, P Das, C Vasudev
    Copyrights Office, Govt. of India , 2025
    2025
  • Neutrosophic Regression Type Estimator for the Finite Population Mean and its Applications in Real Data Scenario
    N Purwar, K Aditya, Bharti, P Das, T Ahmad
    International Journal of Statistics and Applied Mathematics 11 , 2025
    2025
  • Shiny App: R package Download Analytics
    P Das
    https://pankaj736121.shinyapps.io/R_shiny/ , 2025
    2025
  • A Comparative Study on the Predictive Ability of Machine Learning and Deep Learning-Based Yield Prediction Model in Horticulture: A Case Study of Apple
    A Sharma, P Das, S Barman, SK Sharma, B Ahmad, T Adhikary
    Applied Fruit Science 67 (4), 191 , 2025
    2025
    Citations: 4
  • R Package "netroSurvey": Neutrosophic Survey Data Analysis
    N Purwar, K Aditya, P Das, Bharti
    https://CRAN.R-project.org/package=neutroSurvey , 2025
    2025
  • Physiology of Flowering
    T Adhikary, A Sinha, P Das
    Advances in Growth Regulation of Fruit Crops 1, 142 , 2025
    2025
  • Shiny App for Linear and Nonlinear Time Series Data Analysis
    P Das
    https://pankaj736121.shinyapps.io/regression/ , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • Crop Yield Prediction Using Hybrid Machine Learning Approach: A Case Study of Lentil (Lens culinaris Medik.
    P Das, GK Jha, A Lama, R Parsad
    Agriculture 13 (3), 596 , 2023
    2023
    Citations: 56
  • Field scale wheat yield prediction using ensemble machine learning techniques
    S Gawdiya, D Kumar, B Ahmed, RK Sharma, P Das, M Choudhary, ...
    Smart Agricultural Technology 9, 100543 , 2024
    2024
    Citations: 31
  • Forecasting Potato Price using Ensemble Artificial Neural Networks
    K Choudhury, GK Jha, P Das, KK Chaturvedi
    Indian Journal of Extension Education 55 (1), 71-77 , 2019
    2019
    Citations: 30
  • Empirical Mode Decomposition based Support Vector Regression for Agricultural Price Forecasting
    P Das, GK Jha, A Lama, R Parsad, D Mishra
    Indian Journal of Extension Education 56 (2), 7-12 , 2020
    2020
    Citations: 25
  • Artificial Neural Network Based Apple Yield Prediction Using Morphological Characters
    Bharti, P Das, R Banerjee, T Ahmad, S Devi, G Verma
    Horticulturae 9, 36 , 2023
    2023
    Citations: 19
  • Development of multistage crop yield estimation model using machine learning and deep learning techniques
    KS Aravind, A Vashisth, P Krishnan, M Kundu, S Prasad, MC Meena, ...
    International Journal of Biometeorology 69 (2), 499-515 , 2024
    2024
    Citations: 16
  • Perspective chapter: An overview of time series decomposition and its applications
    P Das, S Barman
    Applied and Theoretical Econometrics and Financial Crises, 1-15 , 2025
    2025
    Citations: 12
  • STUDY ON MACHINE LEARNING TECHNIQUES BASED HYBRID MODEL FOR FORECASTING IN AGRICULTURE
    P DAS
    ICAR-Indian Agricultural Statistics Research Institute ICAR-Indian … , 2019
    2019
    Citations: 12
  • Comprehensive Analysis of Millets in India: Area, Production, Cost of Production and Export Statistics
    R Banerjee, B Bharti, P Das, S Barman, S Devi, Ankita
    Current Agriculture Research Journal 12 (3) , 2024
    2024
    Citations: 11
  • Crop Yield Prediction Using Artificial Intelligence and Remote Sensing Methods
    R Banerjee, Bharti, P Das, S Khan
    Artificial Intelligence and Smart Agriculture: Technology and Applications … , 2024
    2024
    Citations: 10
  • Empirical Mode Decomposition based Hybrid Machine learning models for Agricultural commodity Price Forecasting
    P Das, GK Jha, A Lama
    Statistics and Applications 21 (1), 99-112 , 2023
    2023
    Citations: 8
  • Effects of Paclobutrazol on Growth and Yield Attributes of Groundnut (Arachis hypogaea L.)
    M Barman, SK Gunri, AM Puste, P Das
    Indian Journal of Ecology 45 (2), 321-324 , 2018
    2018
    Citations: 6
  • Non-linear mixed effect models for estimation of growth parameters in goats
    P Das, AK Paul, RK Paul
    Journal of the Indian Society of Agricultural Statistics 70 (3), 205-210 , 2016
    2016
    Citations: 6
  • An Overview of Statistical Techniques for Analysis of Data in Agricultural Research
    R Banerjee, Bharti, P Das, V Srivastava, Ankita, S Kataria, B Ahmed, ...
    Emerging Issues in Agricultural Sciences 8, 1-17 , 2023
    2023
    Citations: 5
  • A Comparative Study on the Predictive Ability of Machine Learning and Deep Learning-Based Yield Prediction Model in Horticulture: A Case Study of Apple
    A Sharma, P Das, S Barman, SK Sharma, B Ahmad, T Adhikary
    Applied Fruit Science 67 (4), 191 , 2025
    2025
    Citations: 4
  • A comparative study on the predictive ability of machine learning techniques for spatial mapping of soil properties in Indian Himalayan region
    P Das, S Kumar, J Kalambukattu, T Ahmad
    Available at SSRN 4658128 , 2025
    2025
    Citations: 4
  • An Overview Of Data Analytics In Smart Agriculture
    P Das, R Banerjee, Bharti, A Rangi, N Varshney
    Research & Reviews in Agriculture Science 4, 14-30 , 2023
    2023
    Citations: 4
  • Variational Mode Decomposition based Machine Learning Models Optimized with Genetic Algorithm for Price Forecasting
    P Das, A Lama, GK Jha
    Journal of The Indian Society of Agricultural Statistics 76 (3), 141-150 , 2022
    2022
    Citations: 4
  • An Improved Cointegration based Time Delay Neural Network Model for Price Forecasting
    P Das, G Jha, A Lama
    JOURNAL OF THE INDIAN SOCIETY OF AGRICULTURAL STATISTICS 75 (3), 187-192 , 2022
    2022
    Citations: 4
  • Random Forest Spatial Interpolation Techniques for Crop Yield Estimation at District Level
    GP Naveen, PM Sahoo, P Das, T Ahmad, A Biswas
    Journal of The Indian Society of Agricultural Statistics 78 (1), 15-34 , 2024
    2024
    Citations: 3