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dc.contributor.advisorDewes, Homeropt_BR
dc.contributor.authorDoerr, André Oliveirapt_BR
dc.date.accessioned2022-04-21T04:41:00Zpt_BR
dc.date.issued2018pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/237690pt_BR
dc.description.abstractPathogen and pest-linked diseases across agriculture and ecosystems are a major issue towards enhancing current thresholds in terms of farming yields and food security. Recent developments in nanotechnology allowed the designing of new generation sensors and biosensors in order to detect and mitigate these biological hazards. However, there are still important challenges concerning its respective applications in agricultural systems, typically related to point-of-care testing, cost reduction and real-time analysis. Thus, an important question arises: what are the current state-of-the-art trends and relationships among sensors and biosensors for pathogen and pest detection in agricultural systems? Targeted to meet this gap, a comparative study is performed by a literature review of the past decade and further data mining analysis. With the majority of the results coming from recent studies, leading trends towards new technologies were reviewed and identified, along with its respective agricultural application and target pathogens, such as bacteria, viruses, fungi, as well as pests like insects and parasites. Results have indicated lateral flow assay, lab-on-a-chip technologies and infrared thermography (both fixed and aerial) as the most promising categories related to sensors and biosensors driven to the detection of several different pathogenic varieties. The main existing interrelations between the results are especially associated to cereals, fruits and nuts, meat and dairy along with vegetables and legumes, mostly caused by bacterial and fungal infections. Additional results also presented and discussed, providing a fertile groundwork for decision-making and further developments in modern smart farming and IoT-based agriculture.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.rightsOpen Accessen
dc.subjectAgribusinessen
dc.subjectDoença de plantapt_BR
dc.subjectProdução agrícolapt_BR
dc.subjectPlague controlen
dc.subjectAgronegóciopt_BR
dc.subjectPest managementen
dc.subjectSegurança alimentarpt_BR
dc.subjectPlant infectionen
dc.subjectAnimal infectionen
dc.subjectPraga de plantapt_BR
dc.subjectControle integradopt_BR
dc.subjectInnovationen
dc.subjectDefesa vegetalpt_BR
dc.subjectFood safetyen
dc.subjectIndústria alimentíciapt_BR
dc.subjectFood industryen
dc.subjectSemiconductoren
dc.subjectBig dataen
dc.subjectIoTen
dc.subjectIRTen
dc.subjectLFAen
dc.subjectLOCen
dc.subjectUAVen
dc.titleSensors and biosensors for pathogen and pest detection in agricultural systems : recent trends and oportunitiespt_BR
dc.typeDissertaçãopt_BR
dc.identifier.nrb001133875pt_BR
dc.degree.grantorUniversidade Federal do Rio Grande do Sulpt_BR
dc.degree.departmentCentro de Estudos e Pesquisas em Agronegóciospt_BR
dc.degree.programPrograma de Pós-Graduação em Agronegóciospt_BR
dc.degree.localPorto Alegre, BR-RSpt_BR
dc.degree.date2018pt_BR
dc.degree.levelmestradopt_BR


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