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Session Proposal: Advancing Understanding of Agricultural Irrigation in the AI and Cloud Computing Era (AGU25)

GC021
Advancing Understanding of Agricultural Irrigation in the AI and Cloud Computing Era

Session ID#: 251488

Session Description:
Irrigated agriculture, while essential for global food security, is the largest consumer of freshwater resources. Timely, detailed information on irrigation is fundamental for growers, policymakers, and water managers to assess water demands, resolve conflicts, plan for future needs, and implement effective conservation strategies. Recent advances in geospatial data science, AI, and cloud computing have greatly improved our ability to characterize and monitor irrigation at broad scales with unprecedented spatial and temporal detail. This session invites contributions that leverage these technological developments to deepen our understanding of irrigation and its impacts from field to broad scales. Topics of interest include but are not limited to mapping irrigation practices; estimation of irrigation water use and sources; applications of irrigation datasets in climate resilience, food security, and water policy. Submissions addressing challenges such as data scarcity, model generalization, cross-region scalability, and the development of open-access datasets and tools are particularly encouraged.
Co-Sponsor(s):
  • B - Biogeosciences
  • H - Hydrology
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
1632 Land cover change [GLOBAL CHANGE]
1655 Water cycles [GLOBAL CHANGE]
1842 Irrigation [HYDROLOGY]
Primary Convener:  Yanhua Xie, University of Oklahoma, Department of Geography and Environmental Sustainability, Norman, United States
Conveners:  Landon Marston, Virginia Tech, Department of Civil and Environmental Engineering, Blacksburg, United States, Tyler J Lark, University of Wisconsin - Madison, Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, Madison, United States and Nishan Bhattarai, University of Oklahoma, Department of Geography and Environmental Sustainability, Norman, United States
 
Irrigation Water Withdrawals for Fruits, Vegetables, and Tree Nuts in the Continental United States from 2008 to 2020 (1874398)
Jackie Hanley, University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Urbana, United States and Megan Konar, University of Illinois at Urbana Champaign, Urbana, United States
 
sDRIPS: A Cloud-Based, Open-Source Python Package for Satellite-Informed Surface Water Irrigation Optimization (1904615)
Shahzaib Khan and Faisal Hossain, University of Washington Seattle Campus, Department of Civil and Environmental Engineering, Seattle, United States
 
From Ground Tests to Aerial Imagery: Redefining Irrigation Distribution Uniformity Assessments for California Almonds using Machine Learning (1912355)
Jaya Suneja, University of Wisconsin Madison, Madison, WI, United States, Erica Edwards, University of California Davis, Department of Land, Air, and Water Resources, Davis, CA, United States, Andrew Gal, University of California, Davis, Department of Land, Air, and Water Resources, Davis, United States, Kyle Knipper, U. S. Department of Agriculture, Agricultural Research Service, Sustainable Agricultural Water Systems Research Unit, Davis, United States, Micah Levinson, United States Department of Agriculture, Agricultural Research Service, Sustainable Agricultural Water Systems Unit, Davis, United States, Conor Higgins, Yolo County Resource Conservation District, Woodland, CA, United States and Mallika Nocco, University of Wisconsin Madison, Dept. of Biological Systems Engineering, Madison, United States
 
Applications of OpenET for Quantifying Irrigation Water Use and Advancing Sustainable Water Resources Management (1915302)
Forrest S Melton, NASA Ames Research Center, Moffett Field, CA, United States, AJ Purdy, California State University Monterey Bay / NASA Ames Research Center Cooperative for Research in Earth Science and Technology, Seaside, United States, Conor Doherty, NASA Ames Research Center Cooperative for Research in Earth Science & Technology / CSU Monterey Bay, Moffett Field, United States, Lee Johnson, CSU Monterey Bay, NASA ARC-CREST, Moffett Field, United States, Will Carrara, California State University Monterey Bay, Seaside, United States, Alberto Guzman, CSU Monterey Bay, NASA ARC-CREST, Seaside, United States, Christopher Pearson, Desert Research Institute, Division of Hydrologic Sciences, Reno, United States, Sara G. Larsen, OpenET, Inc., Salt Lake City, United States, Kyle Knipper, U. S. Department of Agriculture, Agricultural Research Service, Sustainable Agricultural Water Systems Research Unit, Davis, United States, Sam C Zipper, University of Kansas, Kansas Geological Survey, Lawrence, United States, MacKenzie Friedrichs, KBR Contractor to the USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, United States, Richard G. Allen, University of Idaho, Boise, United States, Ayse Kilic, University of Nebraska Lincoln, Lincoln, NE, United States, Joshua B. Fisher, Hydrosat, Washington, DC, United States, Francisco Munoz-Arriola, Department of Biological Systems Engineering & School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States, Anderson Ruhoff, Federal University of Rio Grande do Sul, Institute of Hydraulic Research, Porto Alegre, Brazil, Gabriel B Senay, U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Fort Collins Science Center, Fort Collins, United States and Yun Yang, College of Agriculture and Life Sciences, Cornell University, Ithaca, United States
 
Knowledge-guided automated mapping of center-pivot irrigation fields across the U.S. (1932168)
Junhua Chen, University of Oklahoma, Norman, United States and Yanhua Xie, University of Oklahoma, Department of Geography and Environmental Sustainability, Norman, United States
 
Pipe Dreams: Mapping Field-Scale Irrigation Water Use Across the Contiguous United States (CONUS) (1932201)
Jeremy Rapp, Anthony D Kendall and Jacob T. Stid, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States
 
Design and Evaluation of an Automatic Control System for Hydroponics Cultivation of Mint (1941509)
Ajay Satpute1, Neelam Patel2, Anil Kumar Mishra3, Dhirendra Kumar Singh3, Viswanathan Chinnasamy4, Cini Varghese5 and Mr. Suyog Khose, M.Tech6, (1)ICAR-Indian Grassland and Fodder Research Institute, Jhansi, Uttar Pradesh, India., Jhansi, India, (2)National Institute for Transforming India, New Delhi, India, New Delhi, India, (3)Indian Agricultural Research Institute, Division of Agricultural Engineering, New Delhi, India, (4)Indian Agricultural Research Institute, Plant Physiology, New Delhi, India, (5)Indian Agricultural Research Institute, New Delhi, India, (6)Krishi Vigyan Kendra Narayangaon Pune, Pune, India
 
An automated machine learning-based framework for monitoring monthly irrigated areas in the Limpopo River basin using Sentinel-2 imagery. (1949735)
Zolo Kiala1, Karthikeyan Matheswaran2, Chris Dickens3, Mariangel Garcia3, Surajit Ghosh1 and Fulco Ludwig4, (1)International Water Management Institute, Silverton, South Africa, (2)Stockholm Environment Institute, Asia Centre, Bangkok, Thailand, (3)International Water Management Institute, Colombo, Sri Lanka, (4)International Water Management Institute, Water Data Science, Colombo, Sri Lanka
 
High-Resolution Global Mapping of Irrigated Areas Using Remote Sensing and Machine Learning (1953333)
Endalkachew Abebe Kebede1, Gabriel Laboy2, Paula Olaya2, Michela Taufer2, Holly A Michael3,4, Kevin Bhimani5 and Kyle Frankel Davis6,7, (1)University of Delaware, Department of Geography & Spatial Sciences, Newark, DE, United States, (2)University of Tennessee, Department of Electrical Engineering & Computer Science, Knoxville, United States, (3)University of Delaware, Earth Sciences, Newark, DE, United States, (4)University of Delaware, Civil and Environmental Engineering, Newark, United States, (5)University of Delaware, Democratizing Access to Research Software Engineering, Newark, United States, (6)University of Delaware, Geography & Spatial Sciences, Newark, DE, United States, (7)University of Delaware, Department of Plant and Soil Sciences, Newark, United States
 
Assessing Economic Water Scarcity and Sustainable Irrigation Potential in Nigeria (1954699)
Bhoktear Khan1, John Uponi1, Hanan Abou Ali2, Oluwaseun Adeluyi3, Tunrayo Alabi4, Olawale Olayide5 and Kyle Frankel Davis6, (1)University of Delaware, Newark, DE, United States, (2)University of Delaware, Department of Geography & Spatial Sciences, Newark, DE, United States, (3)National Space Research & Development Agency, Abuja, Nigeria, (4)International Institute for Tropical Agriculture, Ibadan, Nigeria, (5)University of Ibadan, Ibadan, Nigeria, (6)University of Delaware, Geography & Spatial Sciences, Newark, DE, United States
 
Leveraging Satellite and Climate Data with Machine Learning for Early Forecasting of Crop Irrigation Demand in Pakistan (1962867)
Hafsa Aeman, Mohsin Hafeez, Umar Waqas Liaqat, Sarfraz Munir and Aarish Maqsood, International Water Management Institute, Lahore, Pakistan
 
Quantifying Source-Specific Irrigation Contributions to Crop Cultivation Possibilities (1969281)
Lokendra Rathore and Emily Burchfield, Emory University, Environmental Sciences, Atlanta, United States
 
Machine Learning Approach to Irrigation Demand Forecasting in the Indus Basin Using Google Earth Engine (1970231)
Hafsa Aeman, Mohsin Hafeez, Umar Waqas Liaqat, Aarish Maqsood and Sarfraz Munir, International Water Management Institute, Lahore, Pakistan
 
Mapping irrigation change in conflict zones and areas with little ground truth: case studies in Ukraine and Ethiopia (1970736)
Sheila Baber, University of Maryland College Park, College Park, MD, United States, Yuval Sadeh, Monash University, School of Earth, Atmosphere and Environment, Melbourne, VIC, Australia, Shabarinath Nair, University of Strasbourg, Strasbourg, France, Sergii Skakun, University of Maryland, Geographical Sciences, College Park, United States, Gerald Blasch, International Maize and Wheat Improvement Center, CIMMYT Ethiopia, Addis Ababa, Ethiopia, Ritvik Sahajpal, University of Maryland College Park, Geographical Sciences, College Park, United States and Inbal Becker-Reshef, University of Maryland, Department of Geographical Sciences, College Park, United States
 
Reliable Irrigation Water Management for Smallholder Producers: Assessing the Information Needs and Barriers (1976232)
Noel R Aloysius1, Krishieka Jegatheesan1, Moussa Theodore Yatta1, Umanda Abeysinghe1, Mahamat Doungous2, Timothy M Reinbott3, Krishna Karra4, Seth Carter-Early4, Alexander King4 and Sherry L Hunt5, (1)University of Missouri Columbia, Chemical and Biomedical Engineering, Columbia, United States, (2)University of Missouri Columbia, School of Natural Resources, Columbia, United States, (3)University of Missouri, MO-AES Field Operations, Columbia, MO, United States, (4)University of Missouri Columbia, Columbia, United States, (5)USDA ARS, Hydraulic Engineering Research, Stillwater, OK, United States
 
Modeling Crop Irrigation Consumptive Use and Withdrawals for the United States (Invited) (1980278)
Jonathan Haynes, U.S. Geological Survey, Oregon Water Science Center, Portland, OR, United States
 
Physics-Guided Deep Learning Framework for Estimating Field-Scale Irrigation from Satellite-Observations (1989467)
Laura Almendra Martin1, Jasmeet Judge1 and Anand Rangarajan2, (1)Center for Remote Sensing, Agricultural and Biological Engineering, University of Florida, Gainesville, United States, (2)Department of Computer and Information Science and Engineering, University of Florida, Gainesville, United States
 
Advances and Decision Making in Modern Agriculture: Targeted Irrigation System Upgrades in the U.S. (2003058)
Karthik Ramaswamy, University of Wisconsin Madison, Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, Madison, WI, United States, Tyler J Lark, University of Wisconsin - Madison, Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, Madison, United States, Nazli Z Uludere Aragon, University of Montana, Numerical Terradynamic Simulation Group, Missoula, MT, United States and Yanhua Xie, University of Oklahoma, Department of Geography and Environmental Sustainability, Norman, United States
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