Topic Aggregation

Computer Science

Name: OpenAgData - Geographic Agricultural Research Intelligence Platform
Creator: OpenAgData
License: https://creativecommons.org/licenses/by/4.0/

Total Papers

Active Hubs

Est. Funding

$5.5M

Estimated based on average grant size ($250k) per published paper.

Top Region

Nebraska

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This is an automated aggregation of all research tagged "Computer Science" across the OpenAgData network. It updates in real-time as new papers are published.

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Topic: Computer Science

Latest Research Feed

NewFrom Knowledge to Action: 2023 Sustainable Agronomy Conference

DJ May • Unknown Hub (2023)

Kansas

NewLearning to See More: A Spectral Extension Super-Resolution Framework for Harmonized Satellite-UAS Imagery

Arif Masrur, Peder A. Olsen, Carlan Jackson, Paul R. Adler • Unknown Hub (2026)

Maryland

NewReference Ecological Unit: A Land Classification Unit for Comparative Soil Studies

Bijesh Maharjan, Saurav Das • Unknown Hub (2021)

Nebraska

NewCan generative AI make farming decisions? Current status and future pathways–A case study in row crop production with ChatGPT

Nipuna Chamara, Yu Pan, Saleh Taghvaeian, Cory Walters, Chris Proctor, Daran R. Rudnick, Daren D. Redfearn, Joe Luck, Yufeng Ge • Unknown Hub (2026)

Nebraska

NewMachine learning models for water quality: Predicting pollutant loads and assessing conservation practice's effectiveness in agricultural fields

Arjun Thapa, Niroj Aryal, Michele L. Reba • Unknown Hub (2025)

Arkansas

NewThe science of cover crops in Iowa

Liz Juchems, Stefan Gailans • Unknown Hub (2017)

Iowa

NewNetwork‐based approaches for soil health research and extension programming in North Dakota, USA

Abbey F. Wick, J. T. Haley, Caley K. Gasch, Terry Wehlander, Lee Briese, S. Samson‐Liebig • Unknown Hub (2019)

North Dakota

NewEmpowering Cover Crop Decision Support with Visualization and Provenance Enhancement

Sujan Shrestha, Jianxin Sun, Katja Koehler‐Cole, Andrea Basche, Hongfeng Yu • Unknown Hub (2023)

Nebraska

NewClassifying Cover Crop Residue from RGB Images: A Simple SVM versus a SVM Ensemble

Parth Upadhyay, Lokesh Karanam, John A. Lory, Guilherme N. DeSouza • Unknown Hub (2021)

Missouri

NewEnhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models

Geng Bai, Katja Koehler‐Cole, David Scoby, Vesh R. Thapa, Andrea Basche, Yufeng Ge • Unknown Hub (2024)

Nebraska

NewADVANCING DIGITAL CONSERVATION MONITORING: SPATIOTEMPORAL ANALYSIS OF PRACTICE ADOPTION AND ECOSYSTEM SERVICE VERIFICATION

Kanru Chen • Unknown Hub (2026)

Illinois

NewADVANCING DIGITAL CONSERVATION MONITORING: SPATIOTEMPORAL ANALYSIS OF PRACTICE ADOPTION AND ECOSYSTEM SERVICE VERIFICATION

Kanru Chen • Unknown Hub (2026)

Illinois

NewImplementing constructed wetlands for nutrient reduction at watershed scale: Opportunity to link models and real-world execution

Christopher T. Nietch, Robert J. Hawley, Akmal Safwat, Jay R. Christensen, Matthew T. Heberling, Jerry F McManus, R. McClatchey, Hannah R. Lubbers, Nathan J. Smucker, Eric Onderak, S. Macy • Unknown Hub (2024)

Ohio

NewDetection of wintertime green vegetated cover using object-based classification with open-source remote sensing and geospatial technologies

Jae Sung Kim, Sara P. Syswerda, Sigrid D. P. Smith • Unknown Hub (2024)

Delaware

NewImproving targeting of farmers for enrollment in agri‐environmental programs

Joshua M. Duke, Robert J. Johnston, Amy L. Shober, Zhongyuan Liu • Unknown Hub (2022)

Maryland

NewCover crops 101: Tips and tricks for getting started

Mark A. Licht • Unknown Hub (2016)

Iowa

NewSatellite Remote Sensing Analysis to Support Winter Cover Crop Conservation Program Management in Maryland, USA

W. Dean Hively, Jyoti S. Jennewein, Alison Thieme, Brian T. Lamb, Greg McCarty, Steven B. Mirsky, Jason Keppler • Unknown Hub (2024)

Maryland

NewYield prediction through integration of genetic, environment, and management data through deep learning

Daniel R Kick, Jason G. Wallace, James C. Schnable, Judith M. Kolkman, Barış Alaca, Timothy Beissinger, Jode W. Edwards, David Ertl, Sherry Flint-García, Joseph L. Gage, Candice N. Hirsch, J. Knoll, Natalia de León, Dayane Cristina Lima, Danilo Moreta, Maninder P. Singh, Addie Thompson, Teclemariam Weldekidan, Jacob D. Washburn • Nebraska Corn Board (2023)

Missouri

NewYield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning

Daniel R Kick, Jason G. Wallace, James C. Schnable, Judith M. Kolkman, Barış Alaca, Timothy Beissinger, David Ertl, Sherry Flint-García, Joseph L. Gage, Candice N. Hirsch, J. Knoll, Natalia de León, Dayane Cristina Lima, Danilo Moreta, Maninder P. Singh, Teclemariam Weldekidan, Jacob D. Washburn • Nebraska Corn Board (2022)

Missouri

NewGamification-based collective learning for collaborative natural resources management through the testing agricultural performance solutions (TAPS) program in Nebraska, USA

Mark E. Burbach, Stephanie M. Kennedy, Daran R. Rudnick, Matt Stockton, Charles Burr, Krystle Rhoades • Nebraska Corn Board (2024)

Nebraska

NewEvaluation of Nonparametric Models for Genomic Prediction of Early‐Stage Single Crosses in Maize

Dnyaneshwar C. Kadam, Aaron J. Lorenz • Nebraska Corn Board (2019)

Minnesota

NewMaize Tassel Detection From UAV Imagery Using Deep Learning

Aziza Alzadjali, Mohammed H. Alali, Arun N. Sivakumar, Jitender S. Deogun, Stephen Scott, James C. Schnable, Yeyin Shi • Nebraska Corn Board (2021)

Nebraska

Top Hubs

Nebraska Corn Board

Top Funders

Nebraska Corn Board

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