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Session Proposal: Digital Tools and Earth Observations for Resilient and Sustainable Agriculture (AGU25)

B032
Digital Tools and Earth Observations for Resilient and Sustainable Agriculture

Session ID#: 251069

Session Description:
Agriculture lies at the heart of global food and energy security but is increasingly vulnerable to climate change, land degradation, and resource scarcity. This session explores how remote sensing, environmental modeling, digital twins, and AI-driven analytics can transform agricultural monitoring and decision-making. We invite contributions that apply Earth observation and digital technologies to assess crop health, water and nutrient use, soil conditions, yield forecasting, and greenhouse gas emissions across diverse agroecosystems. Special emphasis is placed on integrated modeling frameworks and digital twin platforms that simulate the dynamic interactions between agricultural practices, climate, and resource flows in near real time. Topics may include precision agriculture, climate-smart farming, carbon and nutrient management, early warning systems, and policy-support tools. We encourage interdisciplinary research that bridges data science, agronomy, environmental modeling, and socio-economic perspectives to inform more resilient, efficient, and sustainable food systems in the face of global environmental change.
Co-Sponsor(s):
  • H - Hydrology
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
0486 Soils/pedology [BIOGEOSCIENCES]
0496 Water quality [BIOGEOSCIENCES]
Primary Convener:  Peng Fu, Louisiana State University, Baton Rouge, LA, United States
Conveners:  Vinit Sehgal, Louisiana State University, School of Plant, Environmental and Soil Sciences, Baton Rouge, LA, United States, Yanhua Xie, University of Oklahoma, Department of Geography and Environmental Sustainability, Norman, United States and Carl Bernacchi, University of Illinois Urbana-Champaign, DOE Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, United States
 
Large-scale impact quantification of sustainable agricultural practices on GHG emissions and SOC sequestration across Europe using remote sensing and DNDC (1858771)
Daniel Perondi1, Alexandra Halligan1, Matthew Jones2, Ana Toro2, Zhuangfang Yi1, Stephanie Howson1, Greg Garner1, Gayathri Gopalakrishnan1 and William Salas1, (1)Regrow Ag, Durham, NH, United States, (2)Regrow Ag, Durham, United States
 
AlfAdvisor: A web-based cyber-platform to estimate alfalfa yield and quality to support harvest scheduling (1873954)
TONG Yu1, Zhou Zhang2, Matthew Digman1, Jerome Cherney3, Paul Mitchell1, Jinha Jung4, Jing Zhou5, Nicholas Gallagher6, Jiang Chen1, Lena Azimi4 and Diana Fares1, (1)University of Wisconsin-Madison, Madison, United States, (2)University of Wisconsin-Madison, Biological Systems Engineering, Madison, United States, (3)Cornell University, Ithaca, United States, (4)Purdue University, West Lafayette, United States, (5)Oregon State University, CROP AND SOIL SCIENCE, Corvallis, United States, (6)University of Minnesota, St Paul, United States
 
Towards scalable near real-time crop type mapping with satellite remote sensing and street view imagery (1888104)
Chunyuan Diao, Zijun Yang, Yin Liu and Zhijie Zhou, University of Illinois at Urbana-Champaign, Department of Geography & Geographic Information Science, Urbana, United States
 
Modeling Root-Zone Moisture Dynamics from Surface Observations Using Pseudo-Diffusivity (1896138)
Frank Anyoka Adekilae, Louisiana State University, School of Plant, Environmental, and Soil Sciences, Baton Rouge, LA, United States and Vinit Sehgal, Louisiana State University, School of Plant, Environmental and Soil Sciences, Baton Rouge, LA, United States
 
The Mississippi River Drought & Water Dashboard: Strengthening Drought Early Warning for Agriculture and Beyond (Invited) (1924776)
Kelsey Satalino1,2, Meredith Muth2, Molly Woloszyn1,2, Elliot Wickham2,3, Steve Ansari4, Rocky Bilotta4, John Frimmel4,5, James Baker4,5, Michael Shaw4,6 and Derrick Burt4,7, (1)Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, United States, (2)NOAA National Integrated Drought Information System, Boulder, United States, (3)Cooperative Institute for Research to Operations in Hydrology, Tuscaloosa, United States, (4)NOAA National Centers for Environmental Information, Asheville, United States, (5)Riverside Technology Inc., Asheville, United States, (6)ISciences, LLC, Asheville, United States, (7)ISciences, L.L.C., Burlington, United States
 
Understanding Soil Salinity Hotspots and Agricultural Pressures in Coastal Bangladesh Through Integrated Remote Sensing and Ground Observations (1927036)
Akriti Sharma, Tufts University, Medford, MA, United States, Uku-Kaspar Uustalu, Tufts University, Medford, United States, Sonia Binte Murshed, Bangladesh University of Engineering and Technology (BUET), Institute of Water and Flood Management (IWFM), Dhaka, Bangladesh, Erin Coughlan de Perez, Tufts University, Boston, United States and Uku-Kaspar Uustalu
 
Towards a Farm-to-Fork Agricultural Data Management System using the Observations Data Model version 2 (1928625)
Cheikh Mamadou Mbacke Thiaw, Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, Water science, Quebec City, QC, Canada, Louis R. E. Asie, Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, INRS-UQAR Joint Research Unit, Quebec, QC, Canada, Alain N Rousseau, Professeur-chercheur titulaire, Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, Eau Terre Environnement, Quebec City, QC, Canada, Paul Celicourt, PhD., Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, INRS-UQAR Joint Research Unit, Rimouski, QC, Canada, Jean Robitaille Sr, Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, Water Science, Quebec City, QC, Canada and Andrés F. S. Dimate SR, Laval University, Quebec City, Canada
 
Bridging Remote Sensing and Plant Physiology for Crop Stress Detection and Management (1933385)
Olee Hoi Ying Lam1, Amanda J Gevens2 and Philip A Townsend1, (1)University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, United States, (2)University of Wisconsin Madison, Department of Plant Pathology, Madison, United States
 
From Fine-Scale UAV Observations to Regional-Scale Satellite Models: An Integrative Machine Learning Framework for Classifying Rangeland Vegetation Cover (1949314)
Nishat Shermin, Mississippi State University, Mississippi State, MS, United States, Narcisa GABRIELA Pricope, Mississippi State University, Department of Geosciences, Mississippi State, MS, United States, Padmanava Dash, Mississippi State University, Department of Geosciences, Mississippi State, United States and Javier Osorio Leyton, Texas A&M AgriLife Research, Temple, United States
 
AVAIL/AgLIS Integrated Crop-Hydrological Modeling and Multidimensional Data Assimilation Framework for Precision Agricultural Decision Support (1977126)
Meijian Yang1,2, Alexander C Ruane3, Pang-Wei Liu4, Rajat Bindlish5, Jessica Erlingis6, Sujay V Kumar7, Shahryar Khalique Ahmad8, Jose Guarin2, Luke Monhollon2, Colleen Weatherwax2, Zhengwei Yang9, Gary Feng10, James V Geiger11, Yanbo Huang12 and Cynthia Rosenzweig13, (1)Columbia University, Center for Climate Systems Research, New York, United States, (2)NASA Goddard Institute for Space Studies, New York, United States, (3)NASA Goddard Institute for Space Studies, New York, NY, United States, (4)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, (5)NASA GSFC, Greenbelt, United States, (6)University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States, (7)NASA Goddard Space Flight Center, Greenbelt, United States, (8)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (9)USDA National Agricultural Statistics Service, Research and Development Division, Washington, United States, (10)USDA-ARS, Genetics and Sustainable Agricultural Research Unit, Starkville, MS, United States, (11)Goddard Space Flight Center, Greenbelt, MD, United States, (12)USDA-ARS, Genetics and Sustainable Agriculture Research Unit, Starkville, United States, (13)NASA Goddard Institute for Space Studies, New York City, United States
 
Informing the Bioeconomy Supply Chain: Species-Specific Lignocellulose Estimation Using a Portable NIR Sensor (1979574)
Kayla Vittore, Urbana, IL, UNITED STATES, Elizabeth A. Ainsworth, University of Illinois Urbana-Champaign, Department of Plant Biology and Carl. R. Woese Institute for Genomic Biology, Urbana, United States, Soonho Hwang, University of Illinois at Urbana Champaign, Crop Sciences, Urbana, United States and DoKyoung Lee, University of Illinois at Urbana Champaign, Center for Advanced Bioenergy and Bioproducts Innovation; Department of Crop Sciences, Urbana, United States
 
Assessing Climate Impacts and Adaptation in Mexican Maize Systems (1987279)
Victor Hugo Rohden Prudente1, Laura Rodriguez2, Monish Vijay Deshpande3 and Meha Jain3, (1)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (2)University of Michigan Ann Arbor, School for Environment and Sustainability, Ann Arbor, United States, (3)University of Michigan, School for Environment and Sustainability, Ann Arbor, United States
 
A Virtual Agricultural Innovations Laboratory (AVAIL) – combining NASA resources for coherent decision support for Iowa and beyond (1988979)
Alexander C Ruane, NASA Goddard Institute for Space Studies, New York, NY, United States, Sotirios Archontoulis, Iowa State University, Ames, United States, Meijian Yang, Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, United States, Jose Guarin, University of Florida, Gainesville, United States, Colleen Weatherwax, NASA Goddard Institute for Space Studies, New York, United States, Terry Nipp, Agricultural and Environmental Geographic Information Systems, Ltd., Washington D.C., United States and Cynthia Rosenzweig, NASA Goddard Institute for Space Studies, New York City, United States
 
End-of-Season and Forecast Yield Prediction for Rabi Wheat in India’s Breadbasket Using Multi-sensor Fusion of Satellite Data and Machine Learning (1989532)
Monish Vijay Deshpande1, Victor Hugo Rohden Prudente1, Thara Anna Mathew2 and Meha Jain1, (1)University of Michigan, School for Environment and Sustainability, Ann Arbor, United States, (2)Indian Institute of Science Education and Research Bhopal, Earth and Environmental Sciences, Bhopal, India
 
Enhancing Farm Scale Soil Salinity Prediction with UAV-Based Multispectral Data using a Bayesian Deep Learning Framework (1997324)
Saurav Kumar, Arizona State University, School of Sustainable Engineering and Built Environment, Tempe, AZ, United States, Deen Dayal, Texas A&M AgriLife Research, El Paso, Texas, UNITED STATES, Santosh S Palmate, Texas A&M AgriLife Research, El Paso, United States and Girisha K. Ganjegunte, Texas A&M University, Texas A&M AgriLife Research, El Paso, TX, United States
 
Plant Traits and Associated Agricultural Practices Drive Modeled Soil Carbon Dynamics in Bioenergy Feedstocks under Elevated Atmospheric Carbon Dioxide (2003881)
Stephanie Juice, Organization Not Listed, Washington, DC, United States, Danielle Berardi, University of Wyoming, Wyoming Natural Diversity Database, Laramie, WY, United States and Edward R Brzostek, West Virginia University, Department of Biology, Morgantown, United States
 
Translating Predictive Earth System Information into Agricultural Decision Support: A Case Study of the DAWN Climate Data Viewer (2004257)
Jennifer Kennedy, University of Maryland College Park, College Park, MD, United States, Alison M Meadow, University of Arizona, Tucson, AZ, United States, Xin-Zhong Liang, University of Maryland, College Park, Department of Atmospheric and Oceanic Science & Earth System Science Interdisciplinary Center, College Park, United States and Dr. Melissa A Kenney, PhD, University of Minnesota, Institute on the Environment, St. Paul, United States
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