Integration of an Innovative Atmospheric Forecasting Simulator and Remote Sensing Data into a Geographical Information System in the Frame of Agriculture 4.0 Concept
In a world in continuous evolution and in which human needs grow exponentially according to the increasing world population, the advent of new technologies plays a fundamental role in all fields of industry, especially in agriculture. Optimizing times, automating machines, and guaranteeing product q...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | AgriEngineering |
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| Online Access: | https://www.mdpi.com/2624-7402/5/3/81 |
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| author | Giuliana Bilotta Emanuela Genovese Rocco Citroni Francesco Cotroneo Giuseppe Maria Meduri Vincenzo Barrile |
| author_facet | Giuliana Bilotta Emanuela Genovese Rocco Citroni Francesco Cotroneo Giuseppe Maria Meduri Vincenzo Barrile |
| author_sort | Giuliana Bilotta |
| collection | DOAJ |
| description | In a world in continuous evolution and in which human needs grow exponentially according to the increasing world population, the advent of new technologies plays a fundamental role in all fields of industry, especially in agriculture. Optimizing times, automating machines, and guaranteeing product quality are key objectives in the field of Agriculture 4.0, which integrates various innovative technologies to meet the needs of producers and consumers while guaranteeing respect for the environment and the planet’s resources. In this context, our research aims to propose an integrated system using data coming from an innovative experimental atmospheric and forecasting simulator (capable of predicting some characteristic climate variables subsequently validated with local sensors), combined with indices deriving from Remote Sensing and UAV images (treated with the data fusion method), that can give fundamental information related to Agriculture 4.0 with particular reference to the subsequent phases of system automation. These data, in fact, can be collected in an open-source GIS capable of displaying areas that need irrigation and fertilization and, moreover, establishing the path of an automated drone for the monitoring of the crops and the route of a self-driving tractor for the irrigation of the areas of interest. |
| first_indexed | 2024-03-10T23:08:39Z |
| format | Article |
| id | doaj.art-897d80708c8c4d6da22052461760f9b5 |
| institution | Directory Open Access Journal |
| issn | 2624-7402 |
| language | English |
| last_indexed | 2024-03-10T23:08:39Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | AgriEngineering |
| spelling | doaj.art-897d80708c8c4d6da22052461760f9b52023-11-19T09:08:25ZengMDPI AGAgriEngineering2624-74022023-07-01531280130110.3390/agriengineering5030081Integration of an Innovative Atmospheric Forecasting Simulator and Remote Sensing Data into a Geographical Information System in the Frame of Agriculture 4.0 ConceptGiuliana Bilotta0Emanuela Genovese1Rocco Citroni2Francesco Cotroneo3Giuseppe Maria Meduri4Vincenzo Barrile5DICEAM Department, Mediterranea University of Reggio Calabria, 89124 Reggio Calabria, ItalyDICEAM Department, Mediterranea University of Reggio Calabria, 89124 Reggio Calabria, ItalyDepartment of Engineering, University of Palermo, 90128 Palermo, ItalyDICEAM Department, Mediterranea University of Reggio Calabria, 89124 Reggio Calabria, ItalyDICEAM Department, Mediterranea University of Reggio Calabria, 89124 Reggio Calabria, ItalyDICEAM Department, Mediterranea University of Reggio Calabria, 89124 Reggio Calabria, ItalyIn a world in continuous evolution and in which human needs grow exponentially according to the increasing world population, the advent of new technologies plays a fundamental role in all fields of industry, especially in agriculture. Optimizing times, automating machines, and guaranteeing product quality are key objectives in the field of Agriculture 4.0, which integrates various innovative technologies to meet the needs of producers and consumers while guaranteeing respect for the environment and the planet’s resources. In this context, our research aims to propose an integrated system using data coming from an innovative experimental atmospheric and forecasting simulator (capable of predicting some characteristic climate variables subsequently validated with local sensors), combined with indices deriving from Remote Sensing and UAV images (treated with the data fusion method), that can give fundamental information related to Agriculture 4.0 with particular reference to the subsequent phases of system automation. These data, in fact, can be collected in an open-source GIS capable of displaying areas that need irrigation and fertilization and, moreover, establishing the path of an automated drone for the monitoring of the crops and the route of a self-driving tractor for the irrigation of the areas of interest.https://www.mdpi.com/2624-7402/5/3/81atmospheric simulatorunmanned aerial vehiclessatellite imageryremote sensinggeomatic techniques |
| spellingShingle | Giuliana Bilotta Emanuela Genovese Rocco Citroni Francesco Cotroneo Giuseppe Maria Meduri Vincenzo Barrile Integration of an Innovative Atmospheric Forecasting Simulator and Remote Sensing Data into a Geographical Information System in the Frame of Agriculture 4.0 Concept AgriEngineering atmospheric simulator unmanned aerial vehicles satellite imagery remote sensing geomatic techniques |
| title | Integration of an Innovative Atmospheric Forecasting Simulator and Remote Sensing Data into a Geographical Information System in the Frame of Agriculture 4.0 Concept |
| title_full | Integration of an Innovative Atmospheric Forecasting Simulator and Remote Sensing Data into a Geographical Information System in the Frame of Agriculture 4.0 Concept |
| title_fullStr | Integration of an Innovative Atmospheric Forecasting Simulator and Remote Sensing Data into a Geographical Information System in the Frame of Agriculture 4.0 Concept |
| title_full_unstemmed | Integration of an Innovative Atmospheric Forecasting Simulator and Remote Sensing Data into a Geographical Information System in the Frame of Agriculture 4.0 Concept |
| title_short | Integration of an Innovative Atmospheric Forecasting Simulator and Remote Sensing Data into a Geographical Information System in the Frame of Agriculture 4.0 Concept |
| title_sort | integration of an innovative atmospheric forecasting simulator and remote sensing data into a geographical information system in the frame of agriculture 4 0 concept |
| topic | atmospheric simulator unmanned aerial vehicles satellite imagery remote sensing geomatic techniques |
| url | https://www.mdpi.com/2624-7402/5/3/81 |
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