Jasmine Neupane

My research focuses on improving soil water management in agricultural systems through the integration of precision agriculture technologies, remote sensing, and data-driven decision-making. I investigate soil moisture dynamics in both rainfed and irrigated environments, combining in-situ sensor networks with UAS-based and satellite remote sensing to quantify crop and soil stress. By leveraging tools such as IoT sensors, embedded systems, and advanced analytics, I aim to develop scalable, sensor-based irrigation strategies that enhance water-use efficiency and crop productivity. Ultimately, my goal is to advance sustainable agricultural systems by bridging field-scale observations with regional applications, enabling informed management decisions that balance profitability with environmental conservation.

New Funding/Grant

1. Irrigation scheduling for furrow irrigated systems in Southeast Missouri, USDA ARS Cooperative, $40,000 (Awarded as PI)
2. Evaluating impacts of sensor-based irrigation management on grape juice and wine quality, SCBG – USDA, $30,720, (Awarded as PI)
3. Transforming Soybean Replanting Decisions Through Technology-Driven Stand Evaluation, NC Soybean Research Program, $30,000 (Awarded as Co- PI)
4. Focus on Water First: Multi-Source Remote Sensing & Machine Learning for Plant Available Soil Water Capacity Mapping to Support for Nitrogen Optimization and Management, Taylor Geospatial Institute, $536,845 (Awarded as Co- PI)
5. Irrigation scheduling for furrow irrigated systems in Southeast Missouri USDA ARS Cooperative, $26,474 (Awarded as PI)
6. Optimizing Weed Management, Productivity, and Sustainability of Pasture Systems through AI-enabled Adaptive Grazing (AIAG), USDA NIFA, $9,506,670 (Submitted as Co-I)
7. Development of sensor-based irrigation scheduling strategies for furrow-irrigated cropping systems in sub-humid region USDA-AFRI, $299,494 (Submitted as PI)
8. Developing an AI-Driven Farmer-Friendly Decision Support System for Soybean Stand Evaluation and Replanting Using Aerial Phenotyping USDA-NIFA, $189,963 (Submitted as PI)
9. From Detection to Prevention: New Tools to Manage Biofilm Clogging in Irrigation Systems, USDA NIFA, $649,961 (Submitted as Co-I)

Publications

1. Neupane J, B K A, Bhattarai B, Fulton J, Joshi N, Khanal S. Leveraging Machine Learning and Geospatial Analysis to Determine Agronomic and Economic Optima for Variable-Rate Seeding in Corn and Soybean. Agronomy Journal. Forthcoming.