Name
Title | ||
|---|---|---|
Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging. |
Abstract | ||
|---|---|---|
•Early detection of fungal infection in citrus fruit is one of the major problems.•Hyperspectral information visualization was first used to detect decayed citrus.•Mean normalization is proposed to reduce spectral variability due to spherical fruit.•Four spectral images were selected for development of multispectral algorithm.•The total success rate is 98.6% for test set with no false negatives. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.compag.2016.07.016 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Fruit detection,Citrus fruit,Orange,Hyperspectral imaging,Image processing,Decay | Computer vision,Normalization (statistics),Multispectral image,Image processing,Hyperspectral imaging,Artificial intelligence,Thresholding,Engineering,Principal component analysis,Wavelength,Test set | Journal |
Volume | ISSN | Citations |
127 | 0168-1699 | 6 |
PageRank | References | Authors |
1.16 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiangbo Li | 1 | 8 | 2.22 |
| Wenqian Huang | 2 | 8 | 5.60 |
| Xi Tian | 3 | 6 | 1.16 |
| Chaopeng Wang | 4 | 6 | 1.16 |
| Shuxiang Fan | 5 | 8 | 2.89 |
| J.-C. Zhao | 6 | 135 | 52.42 |