Remote Sensing for Crop Growth Monitoring

Dear Colleagues,

In recent years, we have observed growing interest in the application of remote sensing in agriculture, offering novel opportunities to enhance crop production and yields and reduce environmental impact. Thanks to remote sensing, it is possible to monitor the phenological state of crops and detect pests and diseases, water requirements, and other factors that determine their production. However, we still need to work on analyzing and interpreting remote sensing data so that they can be used more effectively.

Therefore, this Special Issue aims to combine original research and review articles on recent advances, technologies, solutions, applications, and new challenges in crop growth monitoring.

Potential topics include, but are not limited to, the following:

• Crop modelling;
• Crop growth modelling;
• Processing of remote sensing data for agronomic information;
• Artificial intelligence-based platforms;
• Statistical methods to identify and evaluate the different factors affecting crop growth based on remote sensing data;
• Use of remote sensing data to identify crop growth and the factors affecting it;
• Machine learning applications in agriculture based on remote sensing.

Prof. Dr. Antonio Uris Martínez
Dr. Alberto Bautista
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.

• remote sensing
• crop modelling
• vegetation indices
• machine learning
• data processing
• productivity
• crop management