Profile of Dr. Abhishek Upadhyay

EDUCATIONAL QUALIFICATIONS

• B.Tech.: Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh
• M.Tech.: Junagadh Agricultural University, Junagadh, Gujarat
• Ph.D.: ICAR-Indian Agricultural Research Institute, New Delhi

PROFESSIONAL AREA

• Research Area: Farm Machinery, Precision Agriculture, Farm Automation
• Research Interests: Deep Learning, Computer Vision, Agricultural Robotics
• Memberships/Fellow of Societies:

1. Life Member of Indian Society of Agricultural Engineers [LM-12190]
2. Life Member of Agricultural Technology Development Society

PUBLICATIONS

• Research articles/Review articles/Short Communication: 08
• Books: 02
• Book Chapter: 04
• Popular articles: 04

Key PUBLICATIONS:

• Upadhyay, A., Chandel, N.S., Singh, K.P. et al. Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture. Artif Intell Rev 58, 92 (2025). https://doi.org/10.1007/s10462-024-11100-x
• Upadhyay, A., Patel, A., Patel, A., Chandel, N.S., Chakraborty, S.K., Bhalekar, D.G. (2025). Leveraging AI and ML in Precision Farming for Pest and Disease Management: Benefits, Challenges, and Future Prospects. In: Jatav, H.S., Raiput, V.D., Minkina, T. (eds) Ecologically Mediated Development. Sustainable Development and Biodiversity, vol 41. Springer, Singapore. https://doi.org/10.1007/978-981-96-2413-3_23
• Upadhyay, A., Singh, K. P., Jhala, K., Kumar, M., & Salem, A. (2024). Non-chemical weed management: Harnessing flame weeding for effective weed control. Heliyon, 10(12), e32776. https://doi.org/10.1016/j.heliyon.2024.e32776
• Upadhyay, A., Chandel, N. S., Chakraborty, S. K., Singh, K. P., Singh, K., Kumar, M., & Kumar, M. (2024). Study on Discharge Dynamics and Droplet Characteristics of Various Nozzle Types for Pesticide Application. Journal of Agricultural Engineering (India), 61(6), 735-752. https://doi.org/10.52151/jae2024616.1883
• Upadhyay, A., Naik, R. K., Gautam, P. V., & Quraishi, A. (2024). Residue Management Methods in Wheat Cultivation: A Feasibility Analysis: FEASIBILITY STUDY OF RESIDUE MANAGEMENT IN WHEAT. Annals of Arid Zone, 63(2), 77-85. https://doi.org/10.56093/aaz.v63i2.148858
• Upadhyay, A., Chandel, N.S., Chakraborty, S.K. (2024). Disease Control Measures Using Vision-Enabled Agricultural Robotics. In: Chouhan, S.S., Singh, U.P., Jain, S. (eds) Applications of Computer Vision and Drone Technology in Agriculture 4.0. Springer, Singapore. https://doi.org/10.1007/978-981-99-8684-2_10
• Chandel, N. S., Jat, D., Chakraborty, S. K., Upadhyay, A., Subeesh, A., Chouhan, P., Manjhi, M., & Dubey, K. (2025). Deep learning assisted real-time nitrogen stress detection for variable rate fertilizer applicator in wheat crop. Computers and Electronics in Agriculture, 237, 110545. https://doi.org/10.1016/j.compag.2025.110545
• Pandey, A., Chaudhary, S., Shukla, P., Upadhyay, A., Chouhan, P., Kumar, A., Kumar, G., Kumar, A. Mechanization of millet cultivation: Status, technological innovations and future directions. Int J Res Agron 2025;8(5):383-395. DOI: 10.33545/2618060X.2025.v8.i5e.2930.

ACHIEVEMENTS / AWARDS:

• Young Scientist Award-2025 in the 40^thP. Young Scientist Congress organized by Madhya Pradesh Council of Science and Technology, Bhopal (MPCST) at Vikram University, Ujjain.
• Young Scientist Award-2024 in the 7^th International Conference on “Global approaches in agriculture, biological, environment and life sciences for sustainable future (GABELS-2024).

A. Department of Farm Machinery and Power Engineering, College of Agricultural Engineering and Technology, Pusa, Bihar – 848125

M. abhishek.upadhyay07@rpcau.ac.in

T. +91 8770634746

ORCID: 0000-0001-9252-2903

Vidwan-ID: 631142