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Dr. Pankaj Das
Dr. Pankaj Das
Scientist, ICAR- Indian Agricultural Statistics Research Institute
Verified email at icar.gov.in - Homepage
Title
Cited by
Cited by
Year
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
162019
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
142020
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
132023
STUDY ON MACHINE LEARNING TECHNIQUES BASED HYBRID MODEL FOR FORECASTING IN AGRICULTURE
P DAS
ICAR-Indian Agricultural Statistics Research Institute ICAR-Indian …, 2019
92019
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
62016
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
42023
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
42018
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
32022
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
22022
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
22019
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
12023
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
12021
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
12017
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
12016
Field scale wheat yield prediction using ensemble machine learning techniques
S Gawdiya, D Kumar, RK Sharma, P Das, M Choudhary, MA Matter
Smart Agricultural Technology, 100543, 2024
2024
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
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