Name
Title | ||
|---|---|---|
A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades. |
Abstract | ||
|---|---|---|
The detection, quantification, diagnosis, and identification of plant diseases is particularly crucial for precision agriculture. Recently, traditional visual assessment technology has not been able to meet the needs of precision agricultural informatization development, and hyperspectral technology, as a typical type of non-invasive technology, has received increasing attention. On the basis of simply describing the types of pathogens and host-pathogen interaction processes, this review expounds the great advantages of hyperspectral technologies in plant disease detection. Then, in the process of describing the hyperspectral disease analysis steps, the articles, algorithms, and methods from disease detection to qualitative and quantitative evaluation are mainly summarizing. Additionally, according to the discussion of the current major problems in plant disease detection with hyperspectral technologies, we propose that different pathogens' identification, biotic and abiotic stresses discrimination, plant disease early warning, and satellite-based hyperspectral technology are the primary challenges and pave the way for a targeted response. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/rs12193188 | REMOTE SENSING |
Keywords | DocType | Volume |
pathogens,hyperspectral,plant disease detection,advanced technology | Journal | 12 |
Issue | Citations | PageRank |
19 | 1 | 0.35 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. Zhang | 1 | 54 | 32.13 |
| Gui-Jun Yang | 2 | 148 | 33.61 |
| Yuchun Pan | 3 | 10 | 8.82 |
| Xiaodong Yang | 4 | 58 | 17.09 |
| liping chen | 5 | 2 | 3.40 |
| J.-C. Zhao | 6 | 135 | 52.42 |