Xiaohong Kong

Henan Institute of Science and Technology

Papers

Total Citations

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About

Dr. Xiaohong Kong is a leading researcher in agricultural artificial intelligence and computer vision, with a primary focus on precision agriculture and automated fruit detection. Her most significant contribution lies in developing advanced deep learning models for object detection in complex orchard environments, most notably her work on an improved Faster-RCNN framework for apple detection. This research, published in 2024 and already garnering 30 citations, addresses critical challenges in yield estimation by overcoming the inductive biases of traditional convolutional neural networks. Dr. Kong’s work bridges the gap between state-of-the-art computer vision techniques and practical agricultural applications, enabling more accurate and robust fruit detection under varying lighting, occlusion, and background conditions. Her research has substantial implications for smart farming, helping to automate crop monitoring and improve harvest efficiency. By refining detection models to perform reliably in real-world orchard settings, Dr. Kong is advancing the integration of AI into sustainable agriculture, making her a key contributor to the growing field of agricultural robotics and precision horticulture.