GC104
Transforming Agricultural Futures: AI, Remote Sensing, and Sustainability Science
Session ID#: 251176
Session Description:
Agriculture is increasingly shaped by climate variability, land-use pressures, and resource constraints, challenging the sustainability of food systems worldwide. Advances in remote sensing, artificial intelligence (AI), and machine learning (ML) offer powerful tools to monitor, model, and manage agricultural landscapes with greater precision and insight. We invite submissions that examine the integration of satellite-based remote sensing, artificial intelligence, and machine learning to advance sustainable agricultural practices. Areas of interest include the use of remote sensing for monitoring crop conditions and detecting land-use changes; development of AI/ML models for yield prediction and efficient resource management; and the fusion of datasets to inform decision-making in diverse agricultural contexts.
Index Terms:
0402 Agricultural systems [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
1910 Data assimilation, integration and fusion [INFORMATICS]
1942 Machine learning [INFORMATICS]
Primary Convener: Hanan Abou Ali, University of Delaware, Department of Geography & Spatial Sciences, Newark, DE, United States
Conveners: Dongyang Wei, Colorado State University, Department of Ecosystem Science and Sustainability, Fort Collins, United States, Bhoktear Khan, University of Delaware, Newark, DE, United States and Endalkachew Abebe Kebede, University of Delaware, Department of Geography & Spatial Sciences, Newark, DE, United States
Student/Early Career Convener: John Uponi, University of Delaware, Newark, DE, United States
Enhanced Corn Yield Prediction Using Multitemporal and Multispectral UAS data Combined with Machine Learning (1879763)
Naiem Sheikh, Oklahoma State University, Department of Geography, Stillwater, United States, Yuting Zhou, Oklahoma State University, Department of Geography, Stillwater, OK, United States, Huihui Zhang, USDA ARS, Fort Collins, United States and Pradeep Wagle, Oklahoma and Central Plains Agricultural Research Center, USDA Agricultural Research Service, EI Reno, United States
Pest Forecasting and Management Using Multi-Sensor Data and Deep/Machine Learning for Smallholder Farmers in Asia (1893763)
Sonal Bakiwala, Corteva Agriscience, Hyderabad, India, Pamela Wang, Scientist, Shanghai, China, Raman Babu, Team Leader, Hyderabad, India, Annie Rana, Associate Data Scientist, Hyderabad, India, Parmita Ghosh, Data Scientist, Hyderabad, India and Anu Swatantran, Team Leader, Washington, United States
AI Agricultural Field Boundaries for Sustainable Supply Chain Traceability (1962354)
Tristan Grupp, World Resources Institute, Havertown, United States and Tristan Grupp, Amna Elmustafa, Ana M. Tarano, Ivan Zvonkov, Hunter Blevins, Barnabas Pasztor,, Jaelah Jupiter, Elena Esipova, Hannah R. Kerner
Geospatial Modelling for Agro-Climatic Land Suitability Analysis of Horticultural Crops using Machine Learning techniques (1993238)
Mitesh Kumar Jha1, Justin Kalambukattu1 and Suresh Kumar2, (1)Indian Institute of Remote Sensing, ISRO, Agriculture and Soils Department, Dehradun, India, (2)Indian Institute of Remote Sensing, ISRO, Agriculture, Forestry and Ecology Group, Dehradun, India
Within-season, National-scale crop area estimation in Ukraine using Machine Learning and synergistic Sentinel-1 and Sentinel-2 satellite data without field surveys (1994982)
Mohammad Abdul Qadir Khan, University of Maryland College Park, College Park, MD, United States, Sergii Skakun, University of Maryland, Geographical Sciences, College Park, United States, Inbal Becker-Reshef, University of Maryland, Department of Geographical Sciences, College Park, United States and sergii skakun
Monitoring and Modeling Greenhouse Gas Emissions from Organically Amended Agricultural Systems Using AI Techniques (1995368)
Anwar Assefa Adem1, Ali Fares1, Ripendra Awal2, Anoop Valiya veettil1, Madison Celestine1, Symum Islam1 and Atikur Rahman1, (1)Prairie View A & M University, Cooperative Agricultural Research Center, Prairie View, United States, (2)Prairie View A & M University, Cooperative Agricultural research center, Prairie View, United States
