Kshitiz Dhakal
Papers
2
Total Citations
31
H-Index
2
About
Kshitiz Dhakal is a researcher at the forefront of precision agriculture and remote sensing, with a focused expertise in high-throughput plant phenotyping. His major contributions lie in developing innovative methods to accurately measure crop traits using unmanned aerial vehicles (UAVs) equipped with advanced sensors. Specifically, his work demonstrates the effective use of 3D Light Detection and Ranging (LiDAR) technology mounted on UAVs to estimate crop height and plot-level characteristics. This is critical for monitoring plant health, growth cycles, and overall yield potential, enabling more efficient and data-driven agricultural practices. His most-cited paper (28 citations) on this topic has established a foundational technique for the field, showcasing how LiDAR can overcome the limitations of traditional, manual phenotyping. By integrating robotics and sensor technology with agronomy, Dhakal’s research provides a scalable solution for modern agriculture, directly impacting the speed and accuracy of crop assessment. His work is a key reference for anyone exploring UAV-based remote sensing for agricultural monitoring and phenotyping.
Research Focus
Key Achievements
Top Papers
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- 2