| 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 | 15 | 2019 |
| 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 | 14 | 2020 |
| 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 | 11 | 2023 |
| STUDY ON MACHINE LEARNING TECHNIQUES BASED HYBRID MODEL FOR FORECASTING IN AGRICULTURE P DAS ICAR-Indian Agricultural Statistics Research Institute ICAR-Indian …, 2019 | 9 | 2019 |
| 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 | 6 | 2016 |
| 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 | 4 | 2018 |
| 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 | 3 | 2023 |
| 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 | 3 | 2022 |
| Price Forecasting using EMD-SVR hybrid model: An Ensemble learning Paradigm P Das, GK Jha, A Lama, M Kumar Eighth International Conference on Agricultural Statistics, 2019 | 2 | 2019 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Modeling and Forecasting of Agricultural Commodity Production under Changing Climatic Condition: A Review R Banerjee, P Das, Bharti, T Ahmad, M Kumar Bhartiya Krishi Anusndhan Patrika, 1-7, 2021 | 1 | 2021 |
| Evaluation of alternative nonlinear mixed effects models for estimating pig growth parameters P Das, AK Paul, RK Paul Indian Journal of Animal Sciences 87 (10), 1274-1277, 2017 | 1 | 2017 |
| Evaluation of alternative Nonlinear mixed effects models for estimating Pig Growth parameters P Das, AK Paul, RK Paul International Conference on Statistics & Big data Bioinformatics in …, 2016 | 1 | 2016 |
| Data Analytics Methods: A Hands-on Approach for Precision Agriculture P Das, R Banerjee, Bharti, B Ahmed Artificial Intelligence for Precision Agriculture, 2024 | | 2024 |
| Transformative Roles of Information and Communication Technologies in Fostering Climate-Resilient Agriculture P Das, T Adhikary, B Ahmed Enhancing Crop Resilience: Advances in Climate Smart Crop Production …, 2024 | | 2024 |
| Beeswax + Low Density Polyethylene Packaging Retard Ripening Related Changes and Preserved Postharvest Quality of Guava During Storage AS Dhillon, JS Brar, T Adhikary, P Das Applied Fruit Science, 2024 | | 2024 |
| Randomized response technique in agricultural surveys Bharti, R Banerjee, P Das, S Devi, Ankita, B Ahmed, N Varshney International Journal of Statistics and Applied Mathematics 9 (3), 95-98, 2024 | | 2024 |
| An Introduction to Machine Learning Methods in Sample Surveys P Das International Journal of Applied Mathematics 37 (2), 165-174, 2024 | | 2024 |
| Prediction approach in repeated measurement surveys: A methodological exploration R Banerjee, P Das, Bharti, S Bansal, Ankita, S Devi, S Pal, T Ahmad International Journal of Statistics and Applied Mathematics 9 (2), 200-203, 2024 | | 2024 |
Dr. Girish Kumar JhaPrincipal Scientist & Head, Division of Agricultural Bioinformatics, IASRI, New Delhi在 icar.gov.in 的电子邮件经过验证
