About
Dr. Sandeep Gawdiya completed his Ph.D. from ICAR-Indian Agricultural Research Institute, New Delhi. He completed his M.Sc. in Agronomy from Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut-250 110, UP. with a specialization in Agronomy and soil science and agricultural chemistry He has published several research papers in peer-reviewed National and International journals and presented several papers at conferences as well. He has a good academic background. He qualified for several national level’s exams like ICAR-JRF, ICAR-SRF, IARI-Ph.D., and ICAR-NET.
Qualification
- Ph.D. in (Agriculture) Agronomy
Award & Recognition
- Indian Council of Agricultural Research – Senior Research Fellowship (Ph.D.) (2019)
- Indian Council of Agricultural Research – Junior Research Fellowship (M.Sc.) (2017)
- Agriculture scientist recruitment board- NET Qualified with 52.44% (Agronomy) (2019)
Research
- Dr Sandeep Gawdiya has published more than 5 Papers in various National and international Journals.
Certifications
- Diagnosis of Crop and stored grain pests and their management [ 42 DAYS IIT, Kanpur, BAU, Sabour & Commonwealth of learning, Canada - 31 March 2020]
- Conservation agriculture based sustainable intensification [ 42 DAYS IIT, Kanpur, BAU, Sabour & Commonwealth of learning, Canada - 31 March 2020]
- Environment Management System, Green Campus Audit, Energy Audit and Hygiene Audit to Educational Institutions and Industrial Sectors (Fourth Series) organized by the Nature Science Foundation, Coimbatore – 641 046, Tamil Nadu, India from 26th September 2022 to 30th September 2022.
- Climate Change and Sovereign Risk (22 February 2022 Asian Development Bank Institute,Tokyo, Japan)
- Financial Globalization, Capital Flows, and the Global Financial Cycle (23 May 2020 Asian Development Bank Institute, Tokyo, Japan)
Area of Interest
- Nitrogen dynamics in soil and plant
- Soil health, Carbon sequestration
- Climate smart agriculture practices
- Management practices to improve nitrogen use efficiency
- Greenhouse gas emission
- Root imaging through root scanner
- Crop modeling