Food and Agricultural Imaging Systems – An Outlook to the Future

Dear Colleagues,

Traditional analytical and detection techniques in agriculture tend to be expensive, labor-intensive, inefficient and time-consuming. With the development of remote sensing and machine learning, modern agriculture requires more advanced techniques. In terms of specificity, sensitivity, simplicity, low cost, rapidity and non-destructivity, optical imaging techniques are effective tools for the evaluation and inspection of food and agriculture.

Thus, the aim and scope of this Special Issue focuses on imaging systems (RGB images, multispectral images, hyperspectral images, and depth images, etc.), machine learning, remote sensing and big data analysis in food and agriculture. The topics of this Special Issue include image processing, data analysis, machine learning and modeling in food and agriculture (crops and animals) based on both laboratory platforms and field scales (ground vehicles, and unmanned aerial vehicles, etc.). Both research articles and reviews are welcome.

Dr. Chuanqi Xie
Guest Editor

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