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  5. Apple and Pear Scab Expert System
 
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Apple and Pear Scab Expert System

Journal
Baltic Journal of Modern Computing
ISSN
2255-8950
Date Issued
2023
Author(s)
Apeināns, Ilmārs
Rezekne Academy of Technologies 
Zarembo, Imants 
Rezekne Academy of Technologies 
Lācis, Gunārs
Institute of Horticulture
Litavniece, Lienīte
Rezekne Academy of Technologies 
DOI
10.22364/bjmc.2023.11.3.04
Abstract
Plant disease, such as apple and pear scab, control is a crucial 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.
Subjects
  • apple and pear scab

  • expert system

  • Jena

  • ontology

File(s)
 main article: 11_3_04_Apeinans2.pdf (600.67 KB)
Scopus© citations
0
Acquisition Date
Jan 12, 2024
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