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An Optical Smartphone-Based Inspection Platform for Identification of Diseased Orchids
- Source :
- Biosensors, Vol 11, Iss 10, p 363 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Infections of orchids by the Odontoglossum ringspot virus or Cymbidium mosaic virus cause orchid disfiguration and are a substantial source of economic loss for orchid farms. Although immunoassays can identify these infections, immunoassays are expensive, time consuming, and labor consuming and limited to sampling-based testing methods. This study proposes a noncontact inspection platform that uses a spectrometer and Android smartphone. When orchid leaves are illuminated with a handheld optical probe, the Android app based on the Internet of Things and artificial intelligence can display the measured florescence spectrum and determine the infection status within 3 s by using an algorithm hosted on a remote server. The algorithm was trained on optical data and the results of polymerase chain reaction assays. The testing accuracy of the algorithm was 89%. The area under the receiver operating characteristic curve was 91%; thus, the platform with the algorithm was accurate and convenient for infection screening in orchids.
Details
- Language :
- English
- ISSN :
- 20796374
- Volume :
- 11
- Issue :
- 10
- Database :
- Directory of Open Access Journals
- Journal :
- Biosensors
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.8fe71413d9bc4e50a06da23a593b7ea4
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/bios11100363