GC022
AI-Powered Forecasting of Crop Yields Using Climate and Satellite Data
Session ID#: 251172
Session Description:
This session explores advances in crop yield prediction using machine learning, remote sensing, and climate data. We invite contributions that integrate Earth observations (e.g., NDVI, EVI, NDWI), open-source climate datasets (e.g., NOAA GSOM, NASA), and modern AI techniques to improve understanding of crop performance under varying environmental conditions. We encourage studies that evaluate model accuracy, feature importance, region-specific modeling, and the implications for food security and agricultural resilience. This session aims to foster collaboration across informatics, biogeosciences, and global change communities by highlighting scalable, data-driven methods that support sustainable agriculture and climate adaptation strategies.
Co-Sponsor(s):
Index Terms:
0231 Impacts of climate change: agricultural health [GEOHEALTH]
0480 Remote sensing [BIOGEOSCIENCES]
1630 Impacts of global change [GLOBAL CHANGE]
1942 Machine learning [INFORMATICS]
Primary Convener: Arit Prince, Organization Not Listed, Washington, United States
Convener: Arya Prince, Fremont, CA, UNITED STATES
Student/Early Career Convener: Arya Prince, Fremont, CA, UNITED STATES
Optimizing Cotton Yield Prediction Using UAV-Based Multispectral Imagery and SVM-RBF Across Reproductive Growth Stages (1851388)
Jephthah Marfo, American Society for Photogrammetry and Remote Sensing, Starkville, MS, UNITED STATES; Mississippi State University, Department of Geoscience, Starkville, United States, Shrinidhi Ambinakudige, Mississippi State University, Department of Geosciences, Mississippi State, United States, Nisarga Kodadinne Narayana, Mississippi State University, Department of Plant and Soil Sciences, Mississippi State, United States, Ardeshir Adeli, United States Department of Agriculture, Agricultural Research Service, Starkville, United States, Cary Daniel McCraine, Mississippi State University, Geosystems Research Institute, Starkville, United States and Raju Bheemanahalli, Mississippi State University, Department of Plant and Soil Sciences, Starkville, United States
Identifying and Quantifying the Primary Drivers of Sub-Field-Scale Wheat Yield Variability in Drylands Using Interpretive Machine Learning (1923581)
Manoj Lamichhane, South Dakota State University, Agricultural and Biosystems Engineering, Brookings, SD, United States, Sushant Mehan, South Dakota State University, Agricultural and Biosystems Engineering, Brookings, United States and Kyle R Douglas-Mankin, USDA-ARS, Water Management & Systems Research Unit, Fort Collins, United States
Automated Wheat Spike Detection and Counting Using UAV-based Digital Imagery and Deep Learning (1954376)
Hillson Ghimire1, Maitiniyazi Maimaitijiang1, Ubaid Janjua1 and Sunish K. Sehgal2, (1)South Dakota State University, Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, Brookings, United States, (2)South Dakota State University, Department of Agronomy, Horticulture, and Plant Science, Brookings, United States
Predicting Wheat Grain Yield and Quality Using Multitemporal and Multispectral UAS Imagery with Transformer Models (1955184)
Kushal Poudel1, Maitiniyazi Maimaitijiang1, Santosh Subedi1, Swas Kaushal2 and Sunish K. Sehgal2, (1)South Dakota State University, Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, Brookings, United States, (2)South Dakota State University, Department of Agronomy, Horticulture, and Plant Science, Brookings, United States
Hierarchical AI in Space and Time: Big Data and Climate-Informed Prediction of Within-Field Yield, Temporal Stability and Productivity Dynamics in Canadian Prairies (1955899)
Kwabena Nketia1, Steven Shirtliffe1, Thuan Ha2, Hansanee Fernando1, Sarah van Steenbergen1, Paul Galpern3, Christy Morrissey4, Andrea Astleford4 and Manoj Kandoth5, (1)University of Saskatchewan, Department of Plant Sciences, Saskatoon, SK, Canada, (2)University of Saskatchewan, Department of Plant Sciences, Saskatoon, Canada, (3)University of Calgary, Department of Biological Sciences, Calgary, AB, Canada, (4)University of Saskatchewan, Department of Biology, Saskatoon, Canada, (5)University of Calgary, Department of Biological Sciences, Calgary, Canada
