Resume
PhD Candidate in Precision Agriculture & Artificial Intelligence | Remote Sensing | Machine Learning
Summary
Jitender Rathore
PhD candidate (Virginia Tech) specializing in Precision Agriculture, Remote Sensing, and AI-driven crop yield prediction. Experienced with satellite/UAV data, machine learning (RF, SVM, CNN, LSTM), and geospatial analytics for agriculture and environmental monitoring.
- Blacksburg, Virginia, USA
- (+1) 757 957 3628
- jitenderr15@vt.edu
- linkedin.com/in/jitenderrathore93
Education
PhD – Precision Agriculture & Artificial Intelligence
2022 – Present
Virginia Tech, USA
Advisors: Dr. Olga S. Walsh, Dr. Maaz Gardezi
Master of Science – Geospatial Science
2019 – 2021
University of Twente (ITC), Netherlands
Thesis: Detecting ratoon rice using Sentinel-1 time series + machine learning.
Master of Science – Remote Sensing and GIS (Gold Medalist)
2017 – 2019
Kumaun University, India
Thesis: Remote-sensing investigation of NCR air pollution during post-monsoon season.
Bachelor’s in Geography
2014 – 2017
University of Delhi, India
Professional Experience
Agricultural & Remote Sensing Technician
2018 – 2020
6th Grain Global Corporation, Bangalore (Maryland, USA based)
- Analyzed crop patterns using satellite data, NDVI, and crop calendars.
- Conducted field-level and regional GIS/RS assessments.
- Prepared geospatial visualizations and analytical reports.
- Worked independently with international teams in a remote setting.
Honors & Awards
- CALS Travel Grant – AGU 2025 ($750)
- SPES Travel Grant – AGU 2025 ($750)
- TPSC Student Grant 2025 – $3000
- ITC Excellence Scholarship (2019–2021)
- CSSS Scholarship (2015–2019)
Competitions
- World Bank Data4SoilHealth Global Summit Finalist (2025)
- 3rd Place - AgAID Agathon, Washington State University (2023)
Skills
- Programming: Python, R, SQL, GEE
- Remote Sensing: Sentinel-1/2, Landsat, UAV imaging
- GIS Tools: QGIS, ArcGIS
- Machine Learning: RF, SVM, CNN, LSTM, Spatial ML
- Geospatial Analytics: Raster/Vector processing, spatial statistics