Current and Prospective Methods for Plant Disease Detection
By Yi Fang, Ramaraja P. Ramasamy. Biosensors, 2015
594 citations recorded by the source corpus.
Food losses due to crop infections from pathogens such as bacteria, viruses and fungi are persistent issues in agriculture for centuries across the globe. In order to minimize the disease induced damage in crops during growth, harvest and postharvest processing, as well as to maximize productivity and ensure agricultural sustainability, advanced disease detection and prevention in crops are imperative. This paper reviews the direct and indirect disease identification methods currently used in agriculture. Laboratory-based techniques such as polymerase chain reaction (PCR), immunofluorescence (IF), fluorescence in-situ hybridization (FISH), enzyme-linked immunosorbent assay (ELISA), flow cytometry (FCM) and gas chromatography-mass spectrometry (GC-MS) are some of the direct detection methods. Indirect methods include thermography, fluorescence imaging and hyperspectral techniques. Finally, the review also provides a comprehensive overview of biosensors based on highly selective bio-recognition elements such as enzyme, antibody, DNA/RNA and bacteriophage as a new tool for the early identification of crop diseases.
Subfields: Biomedical Engineering, Ecology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/2ad269fea04d8921ef1d7087947f1f26e1febe72
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In Molecular Biology
Citations in the corpus
- Advanced spectroscopic techniques for plant disease diagnostics. A review (2019, unknown): “Detailed discussions of molecular methods can be found in several excellent reviews by Fang and Ramasamy [10], Martinelli and co-authors [11], as well as Donoso and Valenzuela [12].”
- Green Synthesized ZnO Nanoparticles Mediated by Mentha Spicata Extract Induce Plant Systemic Resistance against Tobacco Mosaic Virus (2020, background): “Recently, NPs, in a nanoscale range (1 nm to 100 nm), has been integrated into plant protection, as a substitution for chemical pesticides, and disease management [29,30].”
- Translating High-Throughput Phenotyping into Genetic Gain (2018, background): “Early Stress Detection While the early detection of plant stress (detection prior to appearance of visual symptoms) remains a challenge for phenotyping [12], various techniques such as chlorophyll fluorescence, visible and infrared spectroscopy, and hyperspectral imaging have been tested [30,31].”
- High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms (2020, background): “Plant diseases and pests [8], [98]–[106]”