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Machine Learning

Total Papers
8
Active Hubs
1
Est. Funding
$2.0M
Estimated based on average grant size ($250k) per published paper.
Top Region
Missouri

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

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Topic: Machine Learning

Latest Research Feed

NewEnhancing predictions of nitrous oxide emissions from agricultural soils using a classification‐swap machine learning approach

Facundo Lussich, Ryan Ackett, Jashanjeet Kaur Dhaliwal, Hao Gan, Debasish Saha • Unknown Hub (2025)

Tennessee
Arkansas
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
NewCover crop biomass estimation using UAV-based multispectral feature fusion and machine learning

Jaydeo K. Dharpure, Christopher Cobos, Gurjinder S. Baath, Joseph A. Burke, Paul B. DeLaune, Katie Lewis • Unknown Hub (2026)

Texas
NewVisible/near infrared spectroscopy and machine learning for predicting polyhydroxybutyrate production cultured on alkaline pretreated liquor from corn stover

Mengxing Li, Nuwan K. Wijewardane, Yufeng Ge, Zheng Xu, Mark R. Wilkins • Nebraska Corn Board (2020)

Nebraska
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

Top Hubs

1

Nebraska Corn Board

3

Top Funders

1

Nebraska Corn Board

3

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