Teaching & Mentorship

Undergraduate Research Program

2023

Student name: Braden Adams; Major: Computer Science; Manuscript published: Detecting and counting sorghum aphid alates using smart computer vision models https://doi.org/10.1016/j.ecoinf.2024.10254

Student name: Charlie Bestwick; Major: Agriculture Education; Research poster: Automating detection of lady beetles on sorghum leaves.  https://shorturl.at/foqW9

Student name: Carmen Perez; Major: Horticulture and Natural Resources; Research poster: Automatic detection of lady beetles in wheat. https://shorturl.at/pHIM9  

Student name: Carson Orpin; Major: Agronomy; Research poster: Influence of image techniques to detect lady beetles in wheat. https://shorturl.at/fjFMZ  

Student name: Emma Hamilton; Major: Entomology; Research poster: Using image processing techniques to detect lady beetles in wheat plants. https://rb.gy/s7c4eq

Student name: James Schaefer; Major: Biology; Research poster: Detection of lady beetles in wheat crops. https://rb.gy/9m69w4

Student name: Kaylynn Vogts; Major: Animal Sciences; Research posters: Detection of lady beetles through image analysis. https://rb.gy/unm3ak ; Using computer vision to detect sugarcane aphid alates on sorghum leaves. https://shorturl.at/cD278  

K-State Research and Extension Summer Research Fellowship Program

2023

Student name: Gabrielle Cameron; University: Tennessee State University; Major: Agriculture Sciences; Research presentation: Do you see what I see? Using drone imagery to detect and identify lady beetles. https://rb.gy/q7vuei

Kansas Computer Science Teachers Association (CSTA) chapter annual conference

2023

Trained 15 teachers in smart computer vision models for sorghum during a workshop. https://alt.cs.ksu.edu/conference/