Advances in Detection and Identification of Insect Pests and Pathogens: 2nd Edition
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Health".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 81
Special Issue Editors
Interests: forest protection; plant pathology; oomycetes; biodiversity; e-nose; BCA; IPM; VOC; GC-MS; phosphites; phosphogipsum; silicon
Special Issues, Collections and Topics in MDPI journals
Interests: genomics; transcriptomics; molecular mechanisms of gene expression
Special Issues, Collections and Topics in MDPI journals
Interests: electronic nose; data analysis; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The search for effective diagnostic tools to detect plant pathogens and insect pests requires ongoing advancements. A large number of harmful “alien” species, such as viruses, phytoplasmas, bacteria, fungi, insects, nematodes, and weeds, spread undisturbed in various ways, causing serious problems to different ecosystems, including forests and nurseries, on a large scale. The early detection of plant pathogens and insect pests is becoming increasingly essential in plant health monitoring to manage disease infections at different stages of development.
This Special Issue of Forests invites research related to pest and pathogen detection. This includes optical methods, such as the detection of disease patterns on leaves/needles, methods that use resistographs to drill into tree trunks, non-invasive methods that use the speed of propagation of sound (picus tomograph), and genetic methods, such as next-generation sequencing (NGS) technology. Research that includes the application of electronic noses and electronic tongues is encouraged. Furthermore, articles on detecting bacteria based on taste (as the nose detects volatile metabolites) are also encouraged, as they describe advances in detecting liquid metabolites in soil, such as in nurseries, for early detection, which is highly effective in controlling emerging diseases. Other related methods and review articles are welcome as well.
Prof. Dr. Tomasz Oszako
Prof. Dr. Tadeusz Malewski
Dr. Piotr Borowik
Guest Editors
Manuscript Submission Information
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Keywords
- insect pest
- pathogen
- tree health
- pest management
- pest monitoring
- pest detection
- diagnostic methods
- resistographs
- non-invasive methods
- genetic detection methods
- NGS
- electronic noses
- electronic tongues
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