Punjab Agricultural University | India
Dr. Dnyaneshwar Arjun Madane is an accomplished academic and researcher in Soil and Water Engineering, currently serving as an Assistant Professor at Punjab Agricultural University, Ludhiana. He earned his B.Tech. and M.Tech. in Agricultural Engineering from CAET, Parbhani, and completed his Ph.D. at DBSKKV, Dapoli with significant contributions to irrigation research. His doctoral work on drip irrigation in onion was recognized at the State Level Joint Agresco, reflecting the practical impact of his studies. With prior experience at Lovely Professional University, Punjab, he has consistently advanced research on irrigation water management, pressurized irrigation systems, protected cultivation, hydroponics, evapotranspiration, and remote sensing applications. He has authored and co-authored over 30 research papers, including 22 in Scopus and SCI-indexed journals, and his research outputs have attracted more than 51 citations with an h-index of 4. He has guided postgraduate students, contributed to climate-resilient farming, and undertaken research on rainfall distribution, crop water stress index, and water-use efficiency in different agro-climatic conditions. Recipient of the Young Scientist Award (2019), Dr. Madane continues to focus on innovative water-saving technologies, modern irrigation scheduling, and sustainable water management practices. His academic and research contributions highlight his commitment to advancing agricultural engineering for future food and water security.
Featured Publications
Champaneri, D. D., Desai, K. D., Sharma, V., Madane, D. A., & More, S. J. (2024). A synoptic review of deficit irrigation methods: Sustainable water-saving strategies in vegetable cultivation. Water Supply.
Madane, D. A., Samiksha, & Kaur, G. (2024). Estimation of the crop water stress index (CWSI) of sunflower (Helianthus annuus L.) using sensor-based irrigation scheduling for different irrigation levels. Water Supply.
Madane, D. A., Singh, M. C., & Satpute, S. (2023). Carbon footprint status of Indian Punjab in relation to different pre- to post-harvest activities of paddy cultivation. Paddy and Water Environment.
Vijayan, V. D., Madane, D. A., & Haldar, D. (2023). Monsoon paddy crop discrimination using machine learning algorithms to multi-temporal Sentinel-1A (C-band) data in Alathur block of Palakkad district of Kerala state, India. Paddy and Water Environment.
Madane, D. A., & Waghaye, A. M. (2023). Spatio-temporal variations of rainfall using innovative trend analysis during 1951–2021 in Punjab State, India. Theoretical and Applied Climatology.