Agricultural Applications Using Hyperspectral Data

Dear Colleagues,

Agricultural and food science face great challenges imposed by climate change in the context of a growing population. In the future, global warming is set to undermine the yield and quality of crops, while more socially, economically and environmentally sustainable agriculture and forestry is strongly demanded by the society and governmental policies.

Hyperspectral imaging, combined with other imaging techniques, is a promising technique that could provide efficient methods for monitoring physiological and morphological status of crops or natural environments on a space and time scale. Furthermore, the control and monitoring of agricultural during postharvest could benefit from the implementation of hyperspectral imaging, contributing to the development of precision agriculture.

In this Special Issue, we encourage the submission of original research articles and reviews showing the state-of-the-art advances in:

• Agricultural crop assessment;
• Vegetation health monitoring;
• Plant disease detection;
• Detection of nutritional deficiencies;
• Plant phenotyping;
• Species detection;
• Crop yield prediction and quality;
• Field-level recommendations.

Dr. María Luisa Pérez-Bueno
Dr. Gregorio Egea
Guest Editors

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