Daichi Teruya

Tokyo University of Agriculture and Technology

Papers

Total Citations

H-Index

About

Daichi Teruya is a researcher at the forefront of smart agriculture, specializing in computer vision and deep learning for precision farming. His work addresses critical challenges in Japan’s agricultural sector, including labor shortages and declining production due to an aging workforce. Teruya’s most notable contribution is the development of an automatic tomato growth analysis system that leverages YOLO transfer learning, a breakthrough that enables real-time, non-invasive monitoring of crop development. This system, detailed in his highly cited 2023 paper (9 citations), allows farmers to automatically detect and track tomato growth stages, significantly reducing the need for manual inspection. By integrating state-of-the-art object detection with agricultural robotics, Teruya’s research provides a scalable, cost-effective solution for optimizing yield and resource management. His work not only advances the field of smart agriculture but also offers practical tools to revitalize rural economies. With a growing citation impact, Teruya is recognized for bridging the gap between cutting-edge AI and sustainable farming, making him a key figure in the next generation of agricultural technology.