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Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics

Human activities significantly contribute to worldwide spread of phytopathological adversities. Pathogen-related food losses are today responsible for a reduction in quantity and quality of yield and decrease value and financial returns. As a result, “early detection” in combination with “fast, accu...

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Detalles Bibliográficos
Autores principales: Buja, Ilaria, Sabella, Erika, Monteduro, Anna Grazia, Chiriacò, Maria Serena, De Bellis, Luigi, Luvisi, Andrea, Maruccio, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003093/
https://www.ncbi.nlm.nih.gov/pubmed/33803614
http://dx.doi.org/10.3390/s21062129
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author Buja, Ilaria
Sabella, Erika
Monteduro, Anna Grazia
Chiriacò, Maria Serena
De Bellis, Luigi
Luvisi, Andrea
Maruccio, Giuseppe
author_facet Buja, Ilaria
Sabella, Erika
Monteduro, Anna Grazia
Chiriacò, Maria Serena
De Bellis, Luigi
Luvisi, Andrea
Maruccio, Giuseppe
author_sort Buja, Ilaria
collection PubMed
description Human activities significantly contribute to worldwide spread of phytopathological adversities. Pathogen-related food losses are today responsible for a reduction in quantity and quality of yield and decrease value and financial returns. As a result, “early detection” in combination with “fast, accurate, and cheap” diagnostics have also become the new mantra in plant pathology, especially for emerging diseases or challenging pathogens that spread thanks to asymptomatic individuals with subtle initial symptoms but are then difficult to face. Furthermore, in a globalized market sensitive to epidemics, innovative tools suitable for field-use represent the new frontier with respect to diagnostic laboratories, ensuring that the instruments and techniques used are suitable for the operational contexts. In this framework, portable systems and interconnection with Internet of Things (IoT) play a pivotal role. Here we review innovative diagnostic methods based on nanotechnologies and new perspectives concerning information and communication technology (ICT) in agriculture, resulting in an improvement in agricultural and rural development and in the ability to revolutionize the concept of “preventive actions”, making the difference in fighting against phytopathogens, all over the world.
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spelling pubmed-80030932021-03-28 Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics Buja, Ilaria Sabella, Erika Monteduro, Anna Grazia Chiriacò, Maria Serena De Bellis, Luigi Luvisi, Andrea Maruccio, Giuseppe Sensors (Basel) Review Human activities significantly contribute to worldwide spread of phytopathological adversities. Pathogen-related food losses are today responsible for a reduction in quantity and quality of yield and decrease value and financial returns. As a result, “early detection” in combination with “fast, accurate, and cheap” diagnostics have also become the new mantra in plant pathology, especially for emerging diseases or challenging pathogens that spread thanks to asymptomatic individuals with subtle initial symptoms but are then difficult to face. Furthermore, in a globalized market sensitive to epidemics, innovative tools suitable for field-use represent the new frontier with respect to diagnostic laboratories, ensuring that the instruments and techniques used are suitable for the operational contexts. In this framework, portable systems and interconnection with Internet of Things (IoT) play a pivotal role. Here we review innovative diagnostic methods based on nanotechnologies and new perspectives concerning information and communication technology (ICT) in agriculture, resulting in an improvement in agricultural and rural development and in the ability to revolutionize the concept of “preventive actions”, making the difference in fighting against phytopathogens, all over the world. MDPI 2021-03-18 /pmc/articles/PMC8003093/ /pubmed/33803614 http://dx.doi.org/10.3390/s21062129 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Buja, Ilaria
Sabella, Erika
Monteduro, Anna Grazia
Chiriacò, Maria Serena
De Bellis, Luigi
Luvisi, Andrea
Maruccio, Giuseppe
Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics
title Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics
title_full Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics
title_fullStr Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics
title_full_unstemmed Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics
title_short Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics
title_sort advances in plant disease detection and monitoring: from traditional assays to in-field diagnostics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003093/
https://www.ncbi.nlm.nih.gov/pubmed/33803614
http://dx.doi.org/10.3390/s21062129
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