Name
Abstract | ||
|---|---|---|
•The state-of-the-art image-based research in plant nutrition analysis were reviewed.•The advantages and limitations of modern imaging techniques in plant nutrition analysis were discussed.•Multiple image processing methods and modeling algorithm to improve nutrition analysis accuracy were introduced.•The challenges and future perspectives of plant nutrition analysis were stated. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compag.2020.105459 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
RGB imaging,Imaging spectroscopy,Fluorescence imaging,High-throughput phenotyping platform,Data analysis,Image processing,Plant nutrition analysis | Journal | 174 |
ISSN | Citations | PageRank |
0168-1699 | 1 | 0.35 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daoliang Li | 1 | 334 | 81.09 |
| Cheng Li | 2 | 279 | 39.13 |
| Yuan Yao | 3 | 1 | 0.35 |
| Mengdi Li | 4 | 3 | 1.05 |
| Licheng Liu | 5 | 1 | 0.35 |