Scientific Staff
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Dr. Sunny Arya
Scientist
School of Natural Resource Management
PH.D
About: Dr. Sunny Arya
Agricultural Physics
Remote sensing
High-throughput phenotyping
Artificial Intelligence
IOT
Academic Qualifications
- B.Sc., Agriculture, Bidhan Chandra Krishi Vishwavidyalaya, West Bengal (2012-16)
- M.Sc., Agricultural Physics, Indian Agricultural Research Institute, New Delhi (2016-18)
- Ph.D., Agricultural Physics, Indian Agricultural Research Institute, New Delhi (2018-24)
Contact Information
Phone Number :- 9958775902
Email Address :- sunny.arya@icar.org.in
ORCID ID / Google Scholar profile link:-
https://scholar.google.com/citations?user=CZKed_0AAAAJ&hl=en&oi=ao
Date of joining ICAR-IARI Assam
11/04/2023
Number of publications
7
Major research contributions / notable work
Arya, S., Sandhu, K. S., Singh, J., & Kumar, S. (2022). Deep learning: As the new frontier in high-throughput plant phenotyping. Euphytica, 218(4), 47.
Singh, B., Kumar, S., Elangovan, A., Vasht, D., Arya, S., Duc, N. T., ... & Chinnusamy, V. (2023). Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches. Frontiers in Plant Science, 14, 1214801.
Sahoo, R. N., Gakhar, S., Rejith, R. G., Ranjan, R., Meena, M. C., Dey, A., ... & Khanna, M. (2023). Unmanned aerial vehicle (UAV)–based imaging spectroscopy for predicting wheat leaf nitrogen. Photogrammetric Engineering & Remote Sensing, 89(2), 107-116.
Arya, S., Sahoo, R. N., Sehgal, V. K., Bandyopadhyay, K., Rejith, R. G., Chinnusamy, V., ... & Manjaiah, K. M. (2024). High-throughput chlorophyll fluorescence image-based phenotyping for water deficit stress tolerance in wheat. Plant Physiology Reports, 29(2), 278-293.
Singh, B., Elangovan, A., Kumar, S., Arya, S., Raju, D., Harikrishna, ... & Chinnusamy, V. (2024). Non-destructive chlorophyll prediction by machine learning techniques using RGB-based vegetation indices in wheat. Plant Physiology Reports, 29(4), 836-847.
Biswakarma, N., Tripathi, K., Arya, S., & Harshang, T. (2023). Industrial hemp in India: A booming botanical wonder with endless potentials. Food Sci Rep, 4, 60.
ARYA, S., MUKHERJEE, J., SHARMA, A., SEHGAL, V., KRISHNAN, P., BURMAN, M., & DAS, D. (2019). Seasonal Energy Flux Pattern over Irrigated Maize and Wheat under Subtropical Semi-arid Condition using BREB Method. Journal of Agricultural Physics, 19(2), 185-193.
Awards / recognitions
NAHEP CAAST Fellow.
UGC JRF