Matese, A.,
Prince Czarnecki, J. M.,
Samiappan, S., &
Moorhead, R. J. (2023). Are Unmanned Aerial Vehicle-based Hyperspectral Imaging and Machine Learning Advancing Crop Science?
Trends in Plant Science.
na, 14.
DOI:10.1016/j.tplants.2023.09.001.
Bheemanahalli, R., Adeli, A.,
Samiappan, S.,
Prince Czarnecki, J. M.,
McCraine, C., Reddy, R., &
Moorhead, R. J. (2023). Phenological Stage and Vegetation Index for Predicting Corn Yield under Rainfed Environments.
Frontiers in Plant Science.
14, 12.
DOI:10.3389/fpls.2023.1168732.
Jones, L. R., Elmore, J. A.,
Samiappan, S., Evans, K. O., Pfeiffer, M. B., Blackwell, B. F., & Iglay, R. B. (2023). Fusion of Visible and Thermal Images Improves Automated Detection and Classification of Animals for Drone Surveys.
Scientific Reports.
13, 10385.
DOI:https://doi.org/10.1038/s41598-023-37295-7E. [
Document Site]
Ramamoorthy, P.,
Samiappan, S., Wubben, M. J., Brooks, J. P., Panda, R. M., Reddy, R., & Bheemanahalli, R. (2022). Hyperspectral Reflectance and Machine Learning Approaches for the Detection of Drought and Root Knot Nematode Infestation in Cotton.
Remote Sensing.
14, 4021.
DOI:https://doi.org/10.3390/rs14164021. [
Abstract]
Bheemanahalli, R., Ramamoorthy, P., Poudel, S.,
Samiappan, S., Wijewardane, N., & Reddy, R. (2022). Effects of Drought and Heat Stresses during Reproductive Stage on Pollen Germination, Yield, and Leaf Reflectance Properties in Maize (Zea Mays L.).
Plant Direct. Wiley.
6, e434. [
Abstract]