Soybean seed pest damage detection method based on spatial frequency domain imaging combined with RL-SVM.

ABSTRACT: Soybean seeds are susceptible to damage from the Riptortus pedestris, which is a significant factor affecting the quality of soybean seeds. Currently, manual screening methods for soybean seeds are limited to visual inspection, making it difficult to identify seeds that are phenotypically defect-free but have been punctured by stink bugs on the sub-surface. To facilitate the convenient and efficient identification of healthy soybean seeds, this paper proposes a soybean seed pest detection method based on spatial frequency domain imaging combined with RL-SVM. Firstly, soybean optical data is obtained using single integration sphere technique, and the vigor index of soybean seeds is obtained through germination experiments. Then, based on the above two data items using feature extraction alg

SUBMITTER: Chen X 

PROVIDER: S-EPMC11337654 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature