Machine Vision and Hyperspectral Imaging Technologies and Applications for the Agri-Food Sector
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 1097
Special Issue Editor
Interests: computer vision; image processing; medical image processing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine vision and hyperspectral imaging are two related sets of technologies that have been extensively developed and successfully applied in the agri-food sector over the last few years. In the last decade, these technologies have undergone a remarkable evolution with the availability of better imaging sensors and increased computational power.
These technologies are capable at efficiently and non-destructively measuring the quality and safety of agricultural products and have recently achieved great success in the agri-food sector, helping farmers make informed decisions and optimizing crop management.
Their application is expected to continue growing in line with artificial intelligence and deep learning algorithms that are being developed within these frameworks and has recently achieved great success in conventional techniques.
This Special Issue aims to present the latest advances in machine vision and hyperspectral imaging techniques and their contributions to a wide range of applications in the agri-food sector, enabling us to foresee where they will lead the sector and its practices in the coming years.
Dr. Pedro Couto
Guest Editor
Manuscript Submission Information
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Keywords
- machine vision
- hyperspectral imaging
- remote sensing
- artificial intelligence
- deep learning
