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10.3390/bios5030537 http://scihub22266oqcxt.onion/10.3390/bios5030537 C4600171!4600171!26287253     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biosensors+(Basel) 2015 ; 5 (3): 537-61 Nephropedia Template TP {{tp|p=26287253|t=2015. Current and Prospective Methods for Plant Disease Detection |pdf=|usr=}}{{26287253}} gab.com Text Current and Prospective Methods for Plant Disease Detection JO: Biosensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=26287253 #FOAvip 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. Twit Text FOAVip Current and Prospective Methods for Plant Disease Detection ????Biosensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=26287253 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26287253 #FOAvip English Wikipedia <ref>{{Cite pmid|26287253}}</ref> Current and Prospective Methods for Plant Disease Detection #MMPMID26287253 Fang Y; Ramasamy RP Biosensors (Basel) 2015[Sep]; 5 (3): 537-61 PMID26287253show ga 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. äCurrent and Prospective Methods for Plant Disease Detection (epmc).pdf DeepDyve Pubget Overpricing