Jin-Tao Yu

Shandong University of Science and Technology

Papers

Total Citations

H-Index

About

Jin-Tao Yu is a researcher at the forefront of agricultural robotics and intelligent sensing, with a primary focus on automated fruit detection and harvesting systems. His most-cited work, "Fast detection method of green peach for application of picking robot" (2021, 24 citations), addresses a critical challenge in precision agriculture: the real-time identification of green fruit against complex foliage backgrounds. Yu’s key contribution lies in developing computationally efficient detection algorithms that balance speed and accuracy, enabling robots to operate effectively in dynamic orchard environments. By optimizing feature extraction and classification methods, his research directly supports the advancement of non-destructive, autonomous harvesting—a vital step toward reducing labor costs and improving crop yield efficiency. Though his citation count is still growing, this foundational paper has already informed subsequent studies in fruit recognition and robotic manipulation. Yu’s work exemplifies the practical integration of computer vision and robotics, offering scalable solutions for modern agriculture. His ongoing efforts continue to push the boundaries of smart farming, making him a promising voice in the field of agricultural automation.