Primary Convener:
Alifu Haireti, Saint Louis University

Convener:
Itiya Aneece, USGS Western Geographic Science Center
Jyoti Jennewein, USDA, Agricultural Research Service

Chair:
Alifu Haireti, Saint Louis University
Itiya Aneece, USGS Western Geographic Science Center
Sayan Dey, Saint Louis University Main Campus

With an increasing global population, limited arable land, and anticipated extreme climate conditions, it is imperative to optimize food production. We currently reside in a data-rich era with an extensive array of datasets including those with high spatial resolutions (e.g., Planet Labs SuperDoves and Uncrewed Aircraft Systems (UASs)), and extensive temporal archives (e.g., Landsat, Sentinel). These datasets augment our capacity for comprehensive studies of agricultural food systems. By leveraging advanced methodologies for big-data analytics such as data fusion, novel vegetation indices, time-series analyses, dimensionality reduction, and machine learning, including deep learning and artificial intelligence techniques, we can harness the full potential of such datasets and navigate the complexities of modern agricultural landscapes for optimized decision-making. We invite abstract submissions that leverage these datasets, technologies, and methods to inform decision-making on issues of global food and water security, agricultural resource management, and sustainability.

Index Terms
0402 Agricultural systems
0430 Computational methods and data processing
0452 Instruments and techniques
0480 Remote sensing

Neighborhoods:
3. Earth Covering