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About

Farangis Khosro Anjom is a researcher whose work sits at the intersection of agricultural robotics, precision horticulture, and data-driven automation. Her primary research areas focus on developing intelligent sensing and predictive modeling systems to enhance the efficiency of specialty crop harvesting, particularly for strawberries. Her major contributions include the design and field application of a novel strawberry yield-monitoring picking cart, which provides real-time data on fruit weight and location during harvest—a foundational tool for precision agriculture. She also pioneered the use of linear mixed models to accurately predict optimal strawberry picking times, significantly reducing harvest losses. Further expanding the scope of her work, Khosro Anjom applied radio signal ranging and trilateration to estimate fruit locations within orchard canopies, enabling autonomous navigation for harvest-aid robots. Her most cited paper, "Development and application of a strawberry yield-monitoring picking cart" (32 citations), alongside her work on mechanistic grey box models for scheduling robotic harvest-aids, underscores her impact in merging engineering with agronomy. Her research has been instrumental in advancing the feasibility of robotic harvesting in complex, high-value crops.