Work

Detection of early decay in dynamic oranges by structured-illumination reflectance imaging combined with Hough gradient method and YOLO v10 model

Year: 2026

Type: article

Abstract: Early decay induced by fungal infections in citrus fruit can lead to severe economic losses. In order to detect early decayed oranges in a moving state, this study proposed a new methodology based on structured illumination reflectance imaging (SIRI), which uses a fixed phase stripe pattern for illumination and introduces phase shift into the obtained pattern images through sample motion. The Hough gradient method was used to align the regions of interest in acquired pattern images. The direct component (DC) and alternating component (AC) images were recovered by using the 2-phase spiral phase transition (SPT) demodulation algorithm. At a speed of 100 mm/s, the combination of AC images and YOLO v10 achieved the highest classification accuracy, which was over 97 %. This study indicated that the proposed methodology provided a valuable reference to the online detection of early decayed oranges.

Source: Postharvest Biology and Technology

DOI: 10.1016/j.postharvbio.2026.114177

Authors: Yizhi Zhang, Zhonglei Cai, Sijie Zhou, Junyi Zhang, Hailiang Zhang, Jiangbo Li

Institutions: East China Jiaotong University, Beijing Academy of Agriculture and Forestry Sciences

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: hybrid

Estimated APC paid: $4,280