| Title: | Plant pests and disease detection using optical sensors |
|---|
| Authors: | ID Žibrat, Uroš (Author)
ID Knapič, Matej (Author)
ID Urek, Gregor (Author) |
|---|
| Files: |  URL - Source URL, visit https://ojs.sazu.si/folia_bio_geo/article/view/7807/7311
 PDF - Presentation file, download (1,17 MB)
MD5: AC1B5452D74175A947EA7E8B6DD08896
|
|---|
| Language: | English |
|---|
| Typology: | 1.02 - Review Article |
|---|
| Organization: |  SAZU - Slovenian Academy of Sciences and Arts
|
|---|
| Abstract: | Traditional agricultural plant pest and disease management practices are based on visible characteristics and require that plants are checked individually, making these practices time consuming and therefore costly. Plant pests and diseases also often exhibit a heterogeneous distribution, making detection more difficult. Remote sensing methods enable comparatively accurate detection of pests and diseases over larger areas. Furthermore, because remote sensing sensors utilize light outside the human visible spectrum, presymptomatic detection becomes possible, thus facilitating timely, appropriate and spatially accurate management practices. Because remote sensing systems generate large amount of data, novel data analysis methods, such as machine learning, were introduced to plant protection. While pest and disease detection is possible using individual sensors, best results can be obtained by combining different sensors, utilizing different spectral ranges or physiological responses to light. A large amount of data and information has been generated in the past, but this research has mostly been focused on individual pathogens. Future research will have to focus on combined infections or infestations, and include abiotic stressors as well. |
|---|
| Keywords: | remote sensing, plant protection, hyperspectral, multispectral, thermal, fluorescence, precision agriculture |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Publication date: | 05.12.2019 |
|---|
| Year of publishing: | 2019 |
|---|
| Number of pages: | str. 41-52 |
|---|
| Numbering: | letn. 60, št. 2 |
|---|
| PID: | 20.500.12556/DiRROS-25663  |
|---|
| UDC: | 528.8:632.9 |
|---|
| ISSN on article: | 1855-7996 |
|---|
| DOI: | 10.3986/fbg0057 |
|---|
| COBISS.SI-ID: | 45571373 |
|---|
| Copyright: | Imetniki avtorskih pravic na prispevkih so avtorji |
|---|
| Publication date in DiRROS: | 27.01.2026 |
|---|
| Views: | 213 |
|---|
| Downloads: | 98 |
|---|
| Metadata: |    |
|---|
|
:
|
Copy citation |
|---|
| | | | Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
