Journal of Plant Diseases and Protection
Published by Springer Nature
ISSN : 1861-3829 eISSN : 1861-3837
Abbreviation : J. Plant Dis. Prot.
Aims & Scope
The Journal of Plant Diseases and Protection (JPDP) is an international scientific journal that publishes original research articles, reviews, short communications, position and opinion papers dealing with applied scientific aspects of plant pathology, plant health, plant protection and findings on newly occurring diseases and pests. "Special Issues" on coherent themes often arising from International Conferences are offered.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 2.2 |
2024 | 2.10 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.518 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 41 |
Journal Rank
Year | Value |
---|---|
2024 | 11217 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 1320 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
Citation: 268
Authors: Stefan, Matheus Thomas, David, Anna, Elias, Mirwaes, Jan, Anne-Katrin
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Plant disease detection using computational intelligence and image processing
Citation: 227
Authors: Vibhor Kumar, Krishan, Brajesh
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Transfer learning-based deep ensemble neural network for plant leaf disease detection
Citation: 192
Authors: Sasikala, Venkatramaphanikumar, Venkata Krishna Kishore
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Automated tomato leaf disease classification using transfer learning-based deep convolution neural network
Citation: 149
Authors: Rajasekaran, S., Vishnu Kumar
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Quantitative analysis of the seasonal and tissue-specific expression of Cry1Ab in transgenic maize Mon810
Citation: 113
Authors: H. T., J. A.
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Effects of sulfated polysaccharide and alcoholic extracts from green seaweed Ulva fasciata on anthracnose severity and growth of common bean (Phaseolus vulgaris L.)
Citation: 103
Authors: R., V., J. E. F., M. E. R., M. D., A., M. J.
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Piriformospora indica protects barley from root rot caused by Fusarium graminearum
Citation: 100
Authors: S. D., K. -H.
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Quantifying the effects of previous crop, tillage, cultivar and triazole fungicides on the deoxynivalenol content of wheat grain — a review
Citation: 98
Authors: M., M. B., H., J.-A.
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Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion
Citation: 89
Authors: Rajasekaran, S., P, Vishnu Kumar
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A rapid and simple method for determining fungicide resistance in Botrytis
Citation: 82
Authors: Roland W. S., Matthias