Pete W. Jacoby
Papers
1
Total Citations
86
H-Index
1
About
Pete W. Jacoby is a leading researcher in precision agriculture and remote sensing, with a focus on developing innovative technologies for sustainable crop management. His major contributions center on the integration of mobile 3D light detection and ranging (LiDAR) systems for high-resolution canopy mapping in tree fruit crops, a breakthrough that enhances yield estimation, pruning efficiency, and resource allocation. His most-cited work, "Evaluation of mobile 3D light detection and ranging based canopy mapping system for tree fruit crops" (2019), has garnered 86 citations, underscoring its influence in advancing automated agricultural monitoring. Jacoby’s research bridges engineering and agronomy, enabling real-time, non-destructive assessment of orchard structures. Beyond this, his broader portfolio includes studies on sensor fusion and data analytics for precision horticulture, contributing to reduced environmental impact and improved food security. His work is widely recognized for its practical applications, with findings adopted by growers and technology developers. Jacoby’s achievements highlight his role as a pioneer in transforming traditional farming through cutting-edge sensing technologies, making him a key figure for students and researchers interested in the intersection of robotics, computer vision, and sustainable agriculture.
Research Focus
Key Achievements
Top Papers
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