Hyperspectral Imaging in Agriculture

Dear Colleagues,

New sensor developments and the commercial availability of cost-effective hyperspectral imaging sensors are yielding increased popularity for this type of technology in agricultural applications, at different scales and for different purposes, in the field, laboratory and food processing facilities. These days, miniaturized hyperspectral cameras can be routinely operated from a drone or ground vehicles, enabling applications ranging from plant phenotyping and breeding to crop status monitoring for the detection of plat diseases and nutrient deficiencies. Hyperspectral imaging is also becoming widely adopted in industrial applications, such as fresh produce handling or quality control of food production.

The intent of this Special Issue is to provide a multi-disciplinary framework where scientists can present their later findings and progress in the development of algorithms, techniques and instrumentation for the use of hyperspectral imaging in agriculture and agro-industry applications.

This Special Issue is focused primarily on the following topics; however, we encourage all submissions related to the use of spectral information in agricultural applications:

• Algorithms for image classification and interpretation
• Chemometrics from hyperspectral imaging
• Plant phenotyping and breeding
• Biotic stress detection and monitoring: e.g., pests and diseases, weeds
• Abiotic stress detection and monitoring: e.g., nutrient deficiencies, water and salinity stress
• Quality control in human and animal food production
• Novel sensors and technologies
• Hyperspectral imaging data processing algorithms
• Machine learning algorithms for hyperspectral image analysis
• Aerial hyperspectral imaging from drones
• Sensor calibration and image correction algorithms

Indeed, any work concerning the use of hyperspectral imaging devices in crop, animal and food production, as well the development of new application procedures and/or the treatment of hyperspectral images, may fall within the scope of this Special Issue.

Dr. Jose A. Jiménez-Berni
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Hyperspectral image analysis
• Classification algorithms based on hyperspectral images
• Plant phenomics
• Quality control in food production
• Plant stress monitoring
• Precision farming
• Hyperspectral cameras
• Hyperspectral drone imaging