Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies
The rapid development of information and communication technologies and wireless sensor networks has transformed agriculture practices. New tools and methods are used to support farmers in their activities. This paper presents a context-aware system that automates irrigation decisions based on senso...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/5/1803 |
| _version_ | 1819140798124392448 |
|---|---|
| author | Quang-Duy Nguyen Catherine Roussey María Poveda-Villalón Christophe de Vaulx Jean-Pierre Chanet |
| author_facet | Quang-Duy Nguyen Catherine Roussey María Poveda-Villalón Christophe de Vaulx Jean-Pierre Chanet |
| author_sort | Quang-Duy Nguyen |
| collection | DOAJ |
| description | The rapid development of information and communication technologies and wireless sensor networks has transformed agriculture practices. New tools and methods are used to support farmers in their activities. This paper presents a context-aware system that automates irrigation decisions based on sensor measurements. Automatic irrigation overcomes the water shortage problem, and automatic sensor measurements reduce the observational work of farmers. This paper focuses on a method for developing context-aware systems using ontologies. Ontologies are used to solve heterogeneity issues in sensor measurements. Their main goal is to propose a shared data schema that precisely describes measurements to ease their interpretations. These descriptions are reusable by any machine and understandable by humans. The context-aware system also contains a decision support system based on a rules inference engine. We propose two new ontologies: The Context-Aware System Ontology addresses the development of the context-aware system in general. The Irrigation ontology automates a manual irrigation method named IRRINOV<sup>®</sup>. These ontologies reuse well-known ontologies such as the Semantic Sensor Network (SSN) and Smart Appliance REFerence (SAREF). The decision support system uses a set of rules with ontologies to infer daily irrigation decisions for farmers. This project uses real experimental data to evaluate the implementation of the decision support system. |
| first_indexed | 2024-12-22T11:44:17Z |
| format | Article |
| id | doaj.art-dc7955803c424456b3552ef279123f09 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-22T11:44:17Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-dc7955803c424456b3552ef279123f092022-12-21T18:27:11ZengMDPI AGApplied Sciences2076-34172020-03-01105180310.3390/app10051803app10051803Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG OntologiesQuang-Duy Nguyen0Catherine Roussey1María Poveda-Villalón2Christophe de Vaulx3Jean-Pierre Chanet4Université Clermont Auvergne, INRAE, UR TSCF, 63178 Aubière, FranceUniversité Clermont Auvergne, INRAE, UR TSCF, 63178 Aubière, FranceOntology Engineering Group, Universidad Politécnica de Madrid, 28660 Boadilla del Monte, Madrid, SpainLaboratoire d’Informatique, de Modélisation et d’Optimisation des Systèmes (LIMOS), UMR 6158 UCA-CNRS, 63170 Aubière, FranceUniversité Clermont Auvergne, INRAE, UR TSCF, 63178 Aubière, FranceThe rapid development of information and communication technologies and wireless sensor networks has transformed agriculture practices. New tools and methods are used to support farmers in their activities. This paper presents a context-aware system that automates irrigation decisions based on sensor measurements. Automatic irrigation overcomes the water shortage problem, and automatic sensor measurements reduce the observational work of farmers. This paper focuses on a method for developing context-aware systems using ontologies. Ontologies are used to solve heterogeneity issues in sensor measurements. Their main goal is to propose a shared data schema that precisely describes measurements to ease their interpretations. These descriptions are reusable by any machine and understandable by humans. The context-aware system also contains a decision support system based on a rules inference engine. We propose two new ontologies: The Context-Aware System Ontology addresses the development of the context-aware system in general. The Irrigation ontology automates a manual irrigation method named IRRINOV<sup>®</sup>. These ontologies reuse well-known ontologies such as the Semantic Sensor Network (SSN) and Smart Appliance REFerence (SAREF). The decision support system uses a set of rules with ontologies to infer daily irrigation decisions for farmers. This project uses real experimental data to evaluate the implementation of the decision support system.https://www.mdpi.com/2076-3417/10/5/1803agriculturesmart irrigationcontext-aware systemontologyrules |
| spellingShingle | Quang-Duy Nguyen Catherine Roussey María Poveda-Villalón Christophe de Vaulx Jean-Pierre Chanet Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies Applied Sciences agriculture smart irrigation context-aware system ontology rules |
| title | Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies |
| title_full | Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies |
| title_fullStr | Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies |
| title_full_unstemmed | Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies |
| title_short | Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies |
| title_sort | development experience of a context aware system for smart irrigation using caso and irrig ontologies |
| topic | agriculture smart irrigation context-aware system ontology rules |
| url | https://www.mdpi.com/2076-3417/10/5/1803 |
| work_keys_str_mv | AT quangduynguyen developmentexperienceofacontextawaresystemforsmartirrigationusingcasoandirrigontologies AT catherineroussey developmentexperienceofacontextawaresystemforsmartirrigationusingcasoandirrigontologies AT mariapovedavillalon developmentexperienceofacontextawaresystemforsmartirrigationusingcasoandirrigontologies AT christophedevaulx developmentexperienceofacontextawaresystemforsmartirrigationusingcasoandirrigontologies AT jeanpierrechanet developmentexperienceofacontextawaresystemforsmartirrigationusingcasoandirrigontologies |