Hyperspectral Detection of Pesticide Residues in Black Vegetable Based on Multi-Classifier Entropy Weight Method
This study addresses the issue of rapid, non-destructive detection of pesticide residues in black vegetable (Brassica narinosa L.H. Bailey) by proposing a multi-classifier entropy weighted method algorithm that combines hyperspectral technology and the entropy weight method. 10 black vegetable sampl...
Saved in:
| Main Authors: | Rongchang Jiang, Guoqiang Zhuang, Shijie Xie, Yang Wang, Guoqi Zhang, Dandan Qu, Wanzhi Wen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10935606/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pesticide Residue Detection in Broccoli Based on Hyperspectral Technology and Convolutional Neural Network
by: Dan WANG, et al.
Published: (2025-03-01) -
Detection of multiple pesticide residues on the surface of broccoli based on hyperspectral imaging
by: GUI Jiangsheng, et al.
Published: (2018-09-01) -
THE IMPACT OF PESTICIDE USE ON RESIDUALS IN VEGETABLE PRODUCTS IN PALANGKA RAYA
by: Normila, et al.
Published: (2025-03-01) -
Detection of Tomato Leaf Pesticide Residues Based on Fluorescence Spectrum and Hyper-Spectrum
by: Jiayu Gao, et al.
Published: (2025-01-01) -
Survey of pesticide and pesticide metabolite residues in strawberries marketed in Uruguay
by: Fiamma Pequeño, et al.
Published: (2025-01-01)