Site suitability analysis for tef (Eragrostis tef) within the contiguous United States. - K. Colton Flynn (Comput. Electron. Agric., 2019)

Nutrient Prediction for Tef (Eragrostis tef) Plant and Grain with Hyperspectral Data and Partial Least Squares Regression: Replicating Methods and Results across Environments. - K. Colton Flynn; Amy E. Frazier; Sintayehu Admas (Remote. Sens., 2020)

The potential of active and passive remote sensing to detect frequent harvesting of alfalfa. - Yuting Zhou; K. Colton Flynn; Prasanna H. Gowda; Pradeep Wagle; Shengfang Ma; Vijaya Gopal Kakani; Jean L. Steiner (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Assessing Remote Sensing Vegetation Index Sensitivities for Tall Fescue (Schedonorus arundinaceus) Plant Health with Varying Endophyte and Fertilizer Types: A Case for Improving Poultry Manuresheds. - K. Colton Flynn; Trey Lee; Dinku Endale; Alan Franzluebbers; Shengfang Ma; Yuting Zhou (Remote. Sens., 2021)

Peanut Seed Germination Detection from Aerial Images. - Shengfang Ma; Yuting Zhou; K. Colton Flynn; Sathyanarayanan N. Aakur (AIPR, 2022)

Hyperspectral reflectance and machine learning to monitor legume biomass and nitrogen accumulation. - K. Colton Flynn; Gurjinder S. Baath; Trey Lee; Prasanna Gowda; Brian K. Northup (Comput. Electron. Agric., 2023)

Monitoring legume nutrition with machine learning: The impact of splits in training and testing data. - H. K. Chinmayi; K. Colton Flynn; Gurjinder S. Baath; Prasanna Gowda; Brian K. Northup; Amanda Ashworth (Appl. Soft Comput., 2025)

Enhancing LAI estimation using multispectral imagery and machine learning: A comparison between reflectance-based and vegetation indices-based approaches. - Sumantra Chatterjee; Gurjinder S. Baath; Bala Ram Sapkota; K. Colton Flynn; Douglas R. Smith (Comput. Electron. Agric., 2025)