2017
DOI: 10.1111/ppa.12783
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Electronic identification systems for reducing diagnostic workloads after disease outbreak

Abstract: Diagnostic tests for grapevine viruses subjected to phytosanitary rules involve a heavy workload for plant protection services and laboratories. Propagation schemes enable nurseries, where mother plants (MPs) are cultivated, to be linked to batches of certified plants (CPs). This approach entails post-production checks of MPs once infection occurs in CPs. However, this traceability system is not tight and follow ups are demanding. This study assessed radio frequency identification (RFID) tagging of plants in t… Show more

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Cited by 2 publications
(1 citation statement)
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“…The use of RFID to support agriculture sustainability and plant and food traceability is starting now and is less widespread and established than in industrial and logistics sectors (Weinstein, 2005;Luvisi, 2016) and veterinary field for animal identification (Sorenson et al, 1995). However, RFID systems were tested for monitoring fruit harvesting in orchard (Ampatzidis and Vougioukas, 2009), clonal selection in grapevine (Pagano et al, 2010), protection of wild flora (The Associated Press, 2008) and the health of certified plants at nursery level for grapevine (Panattoni et al, 2018) and Actinidia (Luvisi et al, 2012a).…”
Section: Introductionmentioning
confidence: 99%
“…The use of RFID to support agriculture sustainability and plant and food traceability is starting now and is less widespread and established than in industrial and logistics sectors (Weinstein, 2005;Luvisi, 2016) and veterinary field for animal identification (Sorenson et al, 1995). However, RFID systems were tested for monitoring fruit harvesting in orchard (Ampatzidis and Vougioukas, 2009), clonal selection in grapevine (Pagano et al, 2010), protection of wild flora (The Associated Press, 2008) and the health of certified plants at nursery level for grapevine (Panattoni et al, 2018) and Actinidia (Luvisi et al, 2012a).…”
Section: Introductionmentioning
confidence: 99%