Sensors and biosensors for pathogen and pest detection in agricultural systems : recent trends and oportunities
dc.contributor.advisor | Dewes, Homero | pt_BR |
dc.contributor.author | Doerr, André Oliveira | pt_BR |
dc.date.accessioned | 2022-04-21T04:41:00Z | pt_BR |
dc.date.issued | 2018 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/237690 | pt_BR |
dc.description.abstract | Pathogen 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.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.rights | Open Access | en |
dc.subject | Agribusiness | en |
dc.subject | Doença de planta | pt_BR |
dc.subject | Produção agrícola | pt_BR |
dc.subject | Plague control | en |
dc.subject | Agronegócio | pt_BR |
dc.subject | Pest management | en |
dc.subject | Segurança alimentar | pt_BR |
dc.subject | Plant infection | en |
dc.subject | Animal infection | en |
dc.subject | Praga de planta | pt_BR |
dc.subject | Controle integrado | pt_BR |
dc.subject | Innovation | en |
dc.subject | Defesa vegetal | pt_BR |
dc.subject | Food safety | en |
dc.subject | Indústria alimentícia | pt_BR |
dc.subject | Food industry | en |
dc.subject | Semiconductor | en |
dc.subject | Big data | en |
dc.subject | IoT | en |
dc.subject | IRT | en |
dc.subject | LFA | en |
dc.subject | LOC | en |
dc.subject | UAV | en |
dc.title | Sensors and biosensors for pathogen and pest detection in agricultural systems : recent trends and oportunities | pt_BR |
dc.type | Dissertação | pt_BR |
dc.identifier.nrb | 001133875 | pt_BR |
dc.degree.grantor | Universidade Federal do Rio Grande do Sul | pt_BR |
dc.degree.department | Centro de Estudos e Pesquisas em Agronegócios | pt_BR |
dc.degree.program | Programa de Pós-Graduação em Agronegócios | pt_BR |
dc.degree.local | Porto Alegre, BR-RS | pt_BR |
dc.degree.date | 2018 | pt_BR |
dc.degree.level | mestrado | pt_BR |
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Multidisciplinar (2517)Agronegócios (342)