GIScience Timisoara

Dear colleagues
We are pleased to invite you to publish the results of your research in the field of Remote sensing and machine learning in a special issue of Sustainability - "Application of Remote Sensing and Machine Learning in Sustainable Agriculture".
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but need not be limited to) the following:
• Land surveying in the agricultural field, from the established topographic field instrumentations (total stations, GNSS systems, TLS, etc.) to the new methods based on optical remote sensing (UAV or airborne platforms for LiDAR and digital photogrammetry, InSAR, satellite images, etc.);
• Challenges and advances in agriculture;
• Integrating models, methods, techniques, and tools for geospatial applications in agricultural field;
• GIS applications in agriculture management, policy, and decision making;
• Precision agriculture;
• Integration of field data and sensors in decision support systems;
• Techniques for vegetation structure modelling and biomass assessment;
• Land crops dynamics and the environmental/ecological implications;
• Artificial intelligence and machine learning;
• Big data analysis;
• Crop nutrition diagnosis;
• Crop monitoring;
• Smart agriculture;
• Best practices, guidelines, and planning using acquired geospatial data.
We look forward to receiving your contributions.

Application of Remote Sensing and Machine Learning in Sustainable Agriculture Special Issue in journal Sustainability: Application of Remote Sensing and Machine Learning in Sustainable Agriculture