Apple and Pear Scab Expert System

Plant disease, such as apple and pear scab, control is a cracial issue of fruit-growing. Apple and pear are among the most widely grown (approximately 43% of all fruit tree area) and economically important fruit crops worldwide and in Latvia. Research projects have produced research data covering va...

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Bibliographic Details
Published in:Baltic Journal of Modern Computing 2023-01, Vol.11 (3), p.411-419
Main Authors: Apeināns, Ilmārs, Zarembo, Imants, Lācis, Gunārs, Litavniece, Lienīte
Format: Article
Language:English
Subjects:
Apples
Cultivars
Data integration
Datasets
Decision making
Disease control
Expert systems
Fruits
Horticulture
Meteorological data
Morphology
Ontology
Pathogens
Plant diseases
Plant resistance
Research projects
Semantics
Spreadsheets
Web Ontology Language-OWL
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Summary:Plant disease, such as apple and pear scab, control is a cracial issue of fruit-growing. Apple and pear are among the most widely grown (approximately 43% of all fruit tree area) and economically important fruit crops worldwide and in Latvia. Research projects have produced research data covering various aspects of plant-pathogen interactions, but there is no internal linkage analysis, as well as implementation of other types of data (such as environmental and meteorological data, etc.). Establishing such a data integration system would allow the identification of new regularities in plant-pathogen interactions, and provide mechanisms for disease control decisions. In this study an expert system was developed aimed to help professional fruit-growers evaluate the possible impact of apple and pear scab to the plant health and yield quality. The expert system is based on a previously developed apple and pear scab ontology and consists of a web based front-end and triplestore back-end.
ISSN:2255-8942
2255-8950
DOI:10.22364/bjmc.2023.ll.3.04