Area of specialization
Agricultural statistics.
Current area of research
Sampling techniques; time series analysis; modelling and forecasting; remote sensing.
Major research achievements
- Developed the R package “CompGR” to compute compound annual growth rate.
- Computed agroclimatic zone-wise CAGR for pigeonpea, lentil, chickpea, blackgram and greengram, for both area and yield.
- Markov model analysis for crop area conversion in Uttar Pradesh, Rajasthan and Madhya Pradesh.
- Genome-wide collection of antimicrobial protein classes — alpha/beta thionins, hevein-like peptides, glycine-rich peptides, snakins, gamma thionin and lipid transfer proteins 1 and 2 — across eight legumes.
- Developed 3D structures of antimicrobial protein sequences for major pulse crops using AlphaFold 2.
- Compiled the Pulse e-Data Book 2025.
Awards and recognitions
- ICAR JRF (2015–2017); IARI institute Ph.D. fellowship (2017–2020)
- Best oral presentation award, NCPulses 2026
Publications
Personal information
- Date of joining ICAR
11th April 2023
- Discipline and specialization
Sample surveys, modelling and forecasting, spatial analysis
Training & Exposure
–
Professional Information
Professional information
- Developed “CompGR” to compute Compound Annual Growth Rate (CAGR)
- Agroclimatic zone wise CAGR for the arhar and chickpea growing district of UP has been calculated for both area and yield.
- District-wise growth rates of lentil, chickpea, black gram, and green gram were also computed for Madhya Pradesh, Rajasthan, Bihar, and Uttar Pradesh.
- Completed a genome-wide search for detection of antimicrobial proteins such as alpha/beta thionins, hevein-like peptides (Chitin Binding Domain), glycine-rich peptides, snakins, gamma thionin, lipid transfer protein-1, and lipid transfer protein-2 in the 8 legumes (chickpea, pigeonpea, mungbean, blackgram, common bean, field pea, cowpea and lathyrus).
Current areas of research:
- Development of prediction tool for antimicrobial protein in pulses
- Price forecasting using advanced machine learning tools
Publications:
Udgata, AR, Sahoo, PM, Ahmad, T, Rai, A, & Krishna, G. (2020). Remote Sensing and Machine Learning techniques for acreage estimation of mango (Mangifera indica). Indian Journal of Agricultural Sciences, 90(3), 551-555.
Udgata, AR, Rai, A, Sahoo, PM, Ahmad, T, & Biswas, A. (2024). Geographically Weighted Ridge Regression Estimator of Finite Population Mean to Tackle Multicollinearity in Survey Sampling. Journal of Community Mobilization and Sustainable Development, 19(1), 113-119.
Udgata, AR, Rani, R, Kumar, H, Devraj, Sah, U and Dixit, GP. (2025). Growth and trends of pigeonpea (Cajanus cajan) in Uttar Pradesh state. Indian Journal of Agricultural Sciences. 95(12); 1547–1553.
Sah, U, Udgata, AR, Kumar, H, Ojha, J, Singh, V, Maurya,VK, Dubey, SK, and Dixit, GP.,(2026). Transition in Cropping Patterns: Evidence from Bundelkhand Region of India. Legume Research. 1-8. doi: 10.18805/LR-5563.
Kumar, H, Chandra, A and Udgata, AR. Seasonal ARIMA approach for forecasting whitefly population. Journal of Food Legumes, 39(1), 106-111.
Jha, UC, Shafi, S, Tallury, S, Udgata AR, et al. (2025). Dynamic changes in seed nutritional components of mung bean [(Vigna radiata (L.) R. Wilczek)] under heat stress. Scientific Reports 15, 12586. https://doi.org/10.1038/s41598-025-93992-5
Jha UC, Warburton M, Nayyar H, Shafi S, Ciampitti IA, Udgata AR, et al. (2025) Influence of elevated temperature on the nutritional profile of Chickpea (Cicer arietinum L.) Seeds. PLoS One 20(8): e0330230. https://doi.org/10.1371/journal.pone.0330230
Pattanaik S., Priyadarshini A., Sarangi K.K., Udgata, A.R. et al. (2026) Status and key determinants of integrated farming systems in coastal regions of eastern India: a comparative assessment. Scientific Reports (2026). https://doi. org/10.1038/s41598-026-49440-z