Geographic Information Technologies in Agriculture and Environment
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Agricultural Science and Technology".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 27
Special Issue Editors
Interests: UAV; digital photogrammetry; high-throughput phenotyping; artificial intelligence
Interests: agricultural microbiology; high-throughput phenotyping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Geographic Information Technologies, including Geographic Information Systems (GISs), remote sensing, photogrammetry, Global Navigation Satellite Systems (GNSSs), and spatial analysis, have transformed the collection, visualization, and management of agricultural and environmental data. These technologies offer valuable tools for informed decision-making. In addition, they enable precision agriculture through real-time monitoring of crops, soil conditions, and water resources, which helps optimize productivity while minimizing environmental impact. High-resolution imagery from satellites and Unmanned Aerial Vehicles (UAVs) provides essential data for assessing vegetation health, monitoring deforestation, predicting droughts, and detecting changes in land use. This Special Issue aims to highlight innovative methodologies and case studies that leverage GISs, remote sensing, photogrammetry, GNSS, IoT, AI/ML, and spatial analytics to address critical challenges in sustainable agriculture and environmental management. We invite authors to submit original research manuscripts showcasing the latest developments in Geographic Information Technologies applied to agricultural and environmental sciences.
Topics of interest include, but are not limited to, the following:
- Crop monitoring, yield prediction, and soil health assessment using remote sensing, photogrammetry, and GISs;
- UAV/drone-based mapping and phenotyping;
- Variable-rate technology (VRT) and smart farming applications;
- Land use change detection;
- Climate change impact assessment and adaptation strategies;
- Biodiversity mapping and ecosystem service evaluation;
- Machine learning/AI for geospatial data processing;
- Big data and cloud computing in agriculture and environment;
- Hydrological and erosion modeling with GISs;
- Water resource and irrigation optimization;
- Agroforestry and precision conservation practices;
- IoT-integrated farm management.
Dr. Rodrigo Bezerra A. Gallis
Dr. Gilberto de Oliveira Mendes
Guest Editors
Manuscript Submission Information
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Keywords
- precision agriculture
- geographic information systems
- remote sensing and photogrammetry
- UAV technology
- high-throughput phenotyping
- sustainable land management
- environmental monitoring
- IoT
- machine learning
- big data in agriculture
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