Current and Prospective Methods for Plant Disease Detection

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ID: 265883
2015
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Abstract
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.
Reference Key
fang2015biosensorscurrent Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yi Fang;Ramaraja P. Ramasamy;Fang, Yi;Ramasamy, Ramaraja P.;
Journal Biosensors
Year 2015
DOI
10.3390/bios5030537
URL
https://www.mdpi.com/2079-6374/5/3/537#citedby
Keywords
volatile organic compounds Enzyme antibody bacteriophage sensor food loss plant pathogen dna/rna

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