Ramamoorthy, P.,
Samiappan, S., Wubben, M. J., Brooks, J. P.,
Shrestha, A.,
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]
Samiappan, S., Zhou, M., Bheemanahalli, R., Brooks, J., & Wubben, M. (2021). Early Detection of Root-Knot Nematode (Meloidogyne Incognita) Infestation in Cotton Using Hyperspectral Data.
Proceedings of 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Brussels, Belgium: IEEE.
DOI:10.1109/IGARSS47720.2021.9554055. [
Abstract] [
Document Site]
Prince Czarnecki, J. M.,
Samiappan, S., Zhou, M.,
McCraine, C., &
Wasson, L. L. (2021). Real-Time Automated Classification of Sky Conditions Using Deep Learning and Edge Computing.
Remote Sensing. MDPI.
13(19), 3859.
DOI:/10.3390/rs13193859. [
Abstract] [
Document Site]
Zhou, M., Elmore, J. A.,
Samiappan, S., Evans, E. O., Pfeiffer, M. B., Blackwell, B. F., & Iglay, R. B. (2021). Improving Animal Monitoring Using Small Unmanned Aircraft Systems (SUAS) and Deep Learning Networks.
Sensors. MDPI.
21(17), 5697.
DOI:10.3390/s21175697. [
Abstract] [
Document Site]