Big Geospatiotemporal Data Approaches to Monitoring and Mitigating Environmental Impacts in Agriculture

Authors

Olatunde D. Akanbi, Case Western Reserve UniversityFollow
Vibha S. Mandayam, Case Western Reserve UniversityFollow
Erika I. Barcelos, Case Western Reserve UniversityFollow
Arafath Nihar, Case Western Reserve UniversityFollow
Yinghui Wu, Case Western Reserve UniversityFollow
Jeffrey Yarus, Case Western Reserve UniversityFollow
Roger H. French, Case Western Reserve UniversityFollow

Document Type

Poster

Publication Date

Summer 9-10-2024

Abstract

This research explores the application of geospatial techniques for global agricultural monitoring, integrating satellite imagery and soil data to assess crop health and soil conditions. Our approach provides actionable insights to improve agricultural productivity and sustainability, addressing food security challenges through advanced machine learning models.

Keywords

big data, geospatial, crop health, satellite imagery

Rights

© 2024 The Authors.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Department/Center

Materials Science & Engineering

Recommended Citation

Akanbi, Olatunde D.; Mandayam, Vibha S.; Barcelos, Erika I.; Nihar, Arafath; Wu, Yinghui; Yarus, Jeffrey; and French, Roger H., "Big Geospatiotemporal Data Approaches to Monitoring and Mitigating Environmental Impacts in Agriculture" (2024). Student Scholarship. 20.
https://commons.case.edu/studentworks/20