Name
Title | ||
|---|---|---|
Development of an automated phenotyping platform for quantifying soybean dynamic responses to salinity stress in greenhouse environment. |
Abstract | ||
|---|---|---|
•Developed a “sensor-to-plants” high-throughput phenotyping platform for controlled environments.•The platform is flexible to add more sensors to collect high-throughput plant phenotypic data.•Experiment showed simple camera could replace manual measurements of leaf chlorophyll content.•Imaging features have potential to rate plant salt tolerance in early stages. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compag.2018.06.016 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
High-throughput phenotyping,Imaging sensor,Soybean salt tolerance,Genetic variations | Plant phenotyping,Agronomy,Computer vision,Crop,Germplasm,Greenhouse,Chlorophyll content,Artificial intelligence,Engineering,Salinity,Soil salinity,Statistical analysis | Journal |
Volume | ISSN | Citations |
151 | 0168-1699 | 1 |
PageRank | References | Authors |
0.35 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianfeng Zhou | 1 | 6 | 5.49 |
| huatao chen | 2 | 6 | 1.43 |
| jing zhou | 3 | 112 | 20.35 |
| Xiuqing Fu | 4 | 2 | 1.38 |
| Heng Ye | 5 | 78 | 3.67 |
| Henry T. Nguyen | 6 | 31 | 4.50 |