Kowshik Kumar Saha
Leibniz Institute for Agricultural Engineering and Bioeconomy
Papers
2
Total Citations
55
H-Index
2
About
Kowshik Kumar Saha is a precision agriculture researcher whose pioneering work integrates LiDAR and spectral imaging to revolutionize non-destructive fruit analysis. His primary research areas include remote sensing, plant phenotyping, and ripening detection, with a focus on developing in-situ methods for assessing fruit quality and maturity. Saha’s major contribution lies in demonstrating how dual-wavelength LiDAR point cloud data can generate normalized difference vegetation index (NDVI) values to simultaneously measure fruit size, count, and chlorophyll content—a breakthrough for automated orchard management. His 2023 paper on in-situ fruit analysis using LiDAR NDVI has garnered 35 citations, establishing a foundational method for real-time crop monitoring. In 2024, he extended this work to tomato fruit, achieving 20 citations by correlating NDVI with ripening stages, offering a robust alternative to traditional color-based ripeness detection. Saha’s research bridges optical sensing and agricultural robotics, enabling precise, scalable solutions for yield estimation and harvest timing. His work is particularly notable for addressing the practical challenge of analyzing fruit directly on the tree, reducing labor and post-harvest losses. As a rising voice in digital agriculture, Saha’s innovations promise to enhance food production efficiency through data-driven, non-invasive crop assessment.
Research Focus
Key Achievements
Top Papers
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