2022
DOI: 10.1088/1755-1315/951/1/012002
|View full text |Cite
|
Sign up to set email alerts
|

Traditional and current-prospective methods of agricultural plant diseases detection: A review

Abstract: As it is known, a significant part of the yield of agricultural crops is lost due to harmful organisms, including diseases. The article reveals the data on the widespread types of plant diseases (rot, wilting, deformation, the formation of tumors, pustules, etc.) and their symptoms. Early identification of the pathogen type of plant infection is of high significance for disease control. Various methods are used to diagnose pathogens of disease on plant. This article discusses the review of the literature data … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
16
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 46 publications
(30 citation statements)
references
References 64 publications
(68 reference statements)
0
16
0
Order By: Relevance
“…Current farm practices rely on visual identification of plant diseases by farm staff with the backup of specialists using additional resources and tools, such as microscopes [ 1 ]. However, agricultural professionals cannot constantly be present in the field to perform thorough monitoring, and farmers lack the expertise required to conduct the detection procedure [ 2 ].…”
Section: Introductionmentioning
confidence: 99%
“…Current farm practices rely on visual identification of plant diseases by farm staff with the backup of specialists using additional resources and tools, such as microscopes [ 1 ]. However, agricultural professionals cannot constantly be present in the field to perform thorough monitoring, and farmers lack the expertise required to conduct the detection procedure [ 2 ].…”
Section: Introductionmentioning
confidence: 99%
“…According to globally estimated data, the average global yield loss of five major crops (wheat, rice, maize, potato, and soybean) in food security hotspots is due to 137 disease-causing pathogens, and the loss is greater in highly populated food shortage regions and areas prone to pests and diseases . The severity of the loss is contingent upon the timing of disease identification and the management method. , Early disease detection mitigates the loss by reducing the disease’s spread and allowing for prompt efforts to eradicate the pathogens . Utilizing disease-resistant or -tolerant high-yielding plant varieties is another strategy for reducing crop loss.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional methods, such as visual observation, microscopy, pure cultures isolation, immunological tests, polymerase chain This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. reaction (PCR), DNA microarrays, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS; Khakimov et al, 2022), restriction fragment length polymorphism (RFLP) and DNA hybridization, are widely used for plant genotyping, detection of plant pathogens and GMO identification in crops (Batley, 2015;Henry, 2014). However, these methods are complex, time consuming, require special laboratory setup and thus not compatible with point-of-care diagnostics.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional methods, such as visual observation, microscopy, pure cultures isolation, immunological tests, polymerase chain reaction (PCR), DNA microarrays, matrix‐assisted laser desorption ionization‐time of flight mass spectrometry (MALDI‐TOF MS; Khakimov et al ., 2022 ), restriction fragment length polymorphism (RFLP) and DNA hybridization, are widely used for plant genotyping, detection of plant pathogens and GMO identification in crops (Batley, 2015 ; Henry, 2014 ). However, these methods are complex, time consuming, require special laboratory setup and thus not compatible with point‐of‐care diagnostics.…”
Section: Introductionmentioning
confidence: 99%