A Comparison of Three Automated Root-Knot Nematode Egg Counting Approaches Using Machine Learning, Image Analysis, and a Hybrid Model

• Published in: Plant disease Vol. 108; no. 9; p. 2625
• Main Authors: Fraher, Simon P, Watson, Mark, Nguyen, Hoang, Moore, Savannah, Lewis, Ramsey S, Kudenov, Michael, Yencho, G Craig, Gorny, Adrienne M
• Format: Journal Article
• Language: English
• Published: United States 01.09.2024
• Subjects: meloidogyne; root-knot nematode; convolutional neural network; automated counting

spp. (root-knot nematodes [RKNs]) are a major threat to a wide range of agricultural crops worldwide. Breeding crops for RKN resistance is an effective management strategy, yet assaying large numbers of breeding lines requires laborious bioassays that are time-consuming and require experienced resea...