Jasanmol Singh

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About

Jasanmol Singh is a researcher at the forefront of precision agriculture and field robotics, with a primary focus on the estimation of aboveground biomass in forage crops. His most-cited work, "Estimation of aboveground biomass of Alfalfa using field robotics" (2024, 4 citations), addresses a critical challenge in grassland management: the pre-harvest quantification of biomass yield. By integrating robotic platforms with sensing technologies, Singh provides a novel, non-destructive method to assess crop productivity, enabling farmers to optimize harvest timing, reduce waste, and maximize profitability. This contribution is particularly significant for high-yielding crops like alfalfa, a staple for grazing, hay, and silage in the United States. Singh’s research bridges the gap between agronomy and engineering, offering scalable solutions for real-time decision-making in agriculture. His work not only enhances economic returns for growers but also promotes sustainable land use by improving resource efficiency. As a rising voice in field robotics, Singh’s innovations hold promise for transforming how we monitor and manage agricultural ecosystems, making him a key figure in the future of smart farming.