Chanae Ottley is a PhD student in the Electrical and Computer Engineering Department at North Carolina State University. She received her B.S. in Mathematics from Florida A&M University in May of 2019. Chanae is funded by the Louis Stokes Alliance for Minority Participation (LSAMP) – Bridge to the Doctorate (BD) Fellowship Program. Her interests are the applications of mathematics and computer vision in agriculture.
Image Analysis of Corn Leaves affected by Southern Leaf Blight: Biotic stresses, such as Southern leaf blight, may visually appear on a crop and allow the quantification of infected regions. The quantification of stress includes the scoring of plants based on the proportion of infected areas to healthy tissue. Chanae is working to quantitatively assess the severity of southern leaf blight in corn and detect the disease before its symptoms are visible. She aims to use machine learning to perform quantification and prediction of biotic stress in corn plants.
Buckner, Eli, Chanae Ottley, Cranos Williams, Angels de Luis Balaguer, Charles E. Melvin, and Rosangela Sozzani. “Tracking gene expression via light sheet microscopy and computer vision in living organisms.” In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 818-821. IEEE, 2018.
Room 3031, Engineering Building II
Dept. of Electrical and Computer Engineering,
North Carolina State University,
Raleigh NC USA 27695.