Advanced Sensing and Image Processing in Agricultural Applications

Dear Colleagues,

Advanced sensing and image processing technology has recently attracted increasing research interest in agricultural production scenarios, such as fruit-picking robots, pest monitoring, growth environment factor monitoring, agricultural planting management, and seed quality breeding. However, in a complex agricultural environment, image processing is more difficult, leading to misclassification due to the interference of external factors, resulting in errors in the experimental results. In addition, with the rapid development of image processing algorithms, the application of image processing technology in agriculture still faces many challenges, including the overlapping of agricultural products, the serious occlusion of detection targets, the excessive detection of targets, and the difficulty of image processing caused by light and camera angle. These problems hinder the application of image-processing technology in complex agricultural environments. Therefore, advanced image processing technology in agriculture is an inspiring and promising topic. This Special Issue aims to present state-of-the-art research achievements and advances by world-class researchers that contribute to the agricultural field in terms of image processing, environment perception, and sensor fusion. Review articles are also encouraged. The potential topics of this organized session include but are not limited to:

• Deep learning algorithm in agricultural applications;
• Image processing technology in pest monitoring;
• Soil spectral data in agricultural engineering;
• Multispectral image processing in agricultural engineering;
• Satellite remote sensing technology in agriculture;
• Detection and location of agricultural robotics;
• Near-infrared image processing in agricultural engineering;
• Hyperspectral technology in crop monitoring;
• Integrating perception, sensor fusion and control in agricultural applications;
• Fault detection and diagnosis in agricultural engineering.

Dr. Jiehao Li
Prof. Dr. Xiwen Luo
Prof. Dr. Chenguang Yang
Guest Editors

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