Sami Khanal
Environmental Science · The Ohio State University
Publications
60
Citations
2,542
Est. group size
~6
Recurring co-author estimate
Active years
17
Publishing since 2010
Sami Khanal's research applies remote sensing, drone (UAS) imagery, and machine learning/AI tools to agricultural and environmental problems, such as estimating crop biomass, monitoring plant disease, and assessing land and water resource tradeoffs. A parallel line of work examines converting animal manure into hydrochar and biochar for nutrient recovery, greenhouse gas mitigation, and carbon storage in farming systems. This combination gives students exposure to both field/sensor-based data collection and waste-to-resource environmental engineering.
Publication output has grown notably over the last decade, rising from about 1-3 papers per year before 2022 to 6-12 per year in 2023-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Nutrient recovery from Co-Hydrothermal carbonization of animal manures: Synergistic effects on hydrochar properties and agronomic potential
Waste Management · 2026
- Hydrochar and biochar from dairy manure as stable carbon amendments for greenhouse gas mitigation and carbon sequestration in concentrated animal feeding operations
Environmental Research Communications · 2026
- AI-Driven Insights from Multimodal Data for Optimized Soybean Growth Monitoring
2026
- A multimodal machine learning framework for cereal rye biomass estimation across landscapes
Remote Sensing Applications Society and Environment · 2026
- Evaluating the impact of manure-derived hydrochar soil amendments on greenhouse gas fluxes: A greenhouse experiment using soil mesocosms and corn plants
Journal of Environmental Management · 2026
- Integrating UAS Remote Sensing and Edge Detection for Accurate Coal Stockpile Volume Estimation
Remote Sensing · 2025
- Scaling Biomass Estimation by Expanding Ground Truth with UAS-Derived Training Data
Remote Sensing · 2025
- Development of a Subsurface Sensing Probe for Measurement of Nitrogen Oxide Gases
Applied Engineering in Agriculture · 2025
- Improving the Quality of LiDAR Point Cloud Data in Greenhouse Environments
Agronomy · 2025
- Monitoring Historical Waste Coal Piles Using Image Classification and Change Detection Algorithms on Satellite Images
Remote Sensing · 2025
- Supplemental figures for "Development of a Subsurface Sensing Probe for Measurement of Nitrogen Oxide Gases"
2025
- Supplemental figures for "Development of a Subsurface Sensing Probe for Measurement of Nitrogen Oxide Gases"
2025
- Improving soybean growth prediction: Harnessing vision transformer and long short-term memory models with UAS imagery and weather data
Smart Agricultural Technology · 2025
- Influence of Hydrothermal Carbonization (HTC) Temperature on Hydrochar and Process Liquid for Poultry, Swine, and Dairy Manure
Environments · 2024
- On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system
Precision Agriculture · 2024
- Remote Sensing×9
- Computers and Electronics in Agriculture×5
- Sensors×2
- Sustainability×2
- Journal of Environmental Management×2
- Kushal KC
Environmental Science · The Ohio State University
- Sungchan Oh
Environmental Science · Purdue University West Lafayette
- Jian Jin
Environmental Science · Purdue University West Lafayette
- Yang Li
Environmental Science · The Ohio State University
- Desheng Liu
Environmental Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile