期刊论文

Wen, T

英文

Agriculture-Basel

2077-0472

2023

13

8

1642-

10.3390/agriculture13081642

Data curation, Z.G.; Formal analysis, Z.T.; Funding acquisition, D.L. and T.W.; Investigation, D.L. and L.H.; Methodology, D.L. and J.L.; Project administration, H.P. and T.W.; Resources, L.W. and T.W.; Supervision, H.P. and T.W.; Writing—original draft, D.L. and J.L. All authors have read and agreed to the published version of the manuscript. This research was funded by the Natural Science Foundation for Distinguished Young Scholars of Hunan Province (2023JJ10099), the National Natural Science Foundation of China (32060577), the Natural Science Foundation of Hunan Province, China (2020JJ4142), the Hunan Forestry Science and Technology Project for Distinguished Young Scholars (XLK202108-7), the Key Scientific Research Project of Education Department of Hunan Province, China (20A515, 220187), the Key Research and Development Program of Hunan Province, China (2022NK2048), and the Hunan Provincial Innovation Foundation for Postgraduate (CX20200734).

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In this study, a multi-path Vis/NIR spectroscopy system was developed to detect the presence of Bactrocera dorsalis (Hendel) infestations of citrus fruit. Spectra were acquired for 252 citrus fruit, 126 of which were infested. Two hundred and fifty-two spectra were acquired for modeling in their un-infested stage, slightly infested stage, and seriously infested stage. The location of the infestation is unclear, and considering the impact of the light path on the location of the infestation, each citrus fruit was tested in three orientations (i.e., fruit stalks facing upward (A), fruit stalks f...