Early Detection of Plant Physiological Responses to Different Levels of Water Stress Using Reflectance Spectroscopy. - Matthew Maimaitiyiming; Abduwasit Ghulam; Arianna Bozzolo; Joseph L. Wilkins; Misha T. Kwasniewski (Remote. Sens., 2017)

Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality. - Matthew Maimaitiyiming; Vasit Sagan; Paheding Sidike; Misha T. Kwasniewski (Remote. Sens., 2019)

Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR). - Matthew Maimaitiyiming; Maitiniyazi Maimaitijiang; Paheding Sidike; Vasit Sagan; Zoë Migicovsky; Daniel H. Chitwood; Peter Cousins; Nick Dokoozlian; Allison J. Miller; Misha T. Kwasniewski (IGARSS, 2020)

Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology. - Matthew Maimaitiyiming; Vasit Sagan; Paheding Sidike; Maitiniyazi Maimaitijiang; Allison J. Miller; Misha T. Kwasniewski (Remote. Sens., 2020)

Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning. - Canh Nguyen; Vasit Sagan; Matthew Maimaitiyiming; Maitiniyazi Maimaitijiang; Sourav Bhadra; Misha T. Kwasniewski (Sensors, 2021)