Content area
This research has multidisciplinary characteristics with a focus on cotton fiber production and computational solutions to improved data exchange. The research is divided into three parts, the identification of the cotton fiber production processes, the formal ontology for identifying the data classes, and finally the proposal of a specific metadata standard for cotton fiber production. The absence of a specific standard for this segment favors the heterogeneity in the various data sources. The contribution of the research lies in improving the information exchange used in agricultural systems providing identification of each individual responsible for steps in the cotton production chain.
Details
Research;
Agriculture;
Standards;
Metadata;
Interoperability;
Cotton;
Ontology;
Standardization;
Semantic web;
Data exchange;
Software engineering;
Semantics;
Data dictionaries;
Databases;
Cybernetics;
Intelligence;
Chains;
Computer applications;
Machine learning;
Farm management;
Decision support systems;
Satellite navigation systems;
Specifications;
Mapping;
Mathematical models;
Computers;
Geographic information systems;
Integration;
Relational data bases;
Planting;
Applications programs;
Taxonomy;
Harvesting;
Disk operating system (DOS);
Agricultural practices;
Knowledge representation;
Learning algorithms;
Electronics;
Data processing;
Computer programs;
Programming languages;
Education;
Event-related potentials;
Flexibility;
Agricultural land;
Computer architecture;
Financial management;
Enterprise resource planning;
Information systems;
Farming systems;
Heterogeneity