Prefarm Systems and economical analysis of practical experiences

The system of Precision farming guarantees a detail monitoring of data and information necessary for a successful decision in a crop production. The system is designed for a data collection from several sources. The data are collected by a service company and also directly by farmers. The paper also analyses the economical efficiency on the base of Medlov Farm. Next development is currently running under projects Prezem and AgriSensor.GPS, GIS, precision farming, economical analysis, monitoring, Farm Management, Research and Development/Tech Change/Emerging Technologies,

Enhancing the Efficiency of ICT by Spatial Data Interoperability

In the present world of information and communication technologies (ICT) “Green ICT” represents a topic of immense interest. The meaning, sense and scope of Green ICT are quite varied and very wide. Hardware technologies, for example (virtualization of hardware) and corresponding methods are considered initiatives towards environment protection and sustainable growth. At the same time, however, improved development and implementation of existing tools influencing environment by implication (for example due to reducing travel costs or energy savings) are very important in terms of Green ICT. ICT solutions could also work as a device or medium of implementation of new environmentally friendly methods, for instance in agriculture or industry. Spatial data or data with a direct or indirect reference to a specific location or geographic area (INSPIRE Registry, 2009), like digital maps, data in navigation tools, are a significant means of correlating otherwise disparate sources of information. This chapter tries to show the relationship of spatial data and how it can benefit Green ICT. This relationship is vital, as spatial data plays a very important role in system and application (e.g. Geographic Information Systems) with the potential for making direct impact on environmental protection. Spatial data continues to be an integral part of common equipment like mobile phones, car navigation systems and computers. The numbers of these gadgets are constantly growing and so is the corresponding volume of spatial data sets. Within the context of this rapid growth, the costs of data capture, management, updating, processing and distribution are increasing. For example the operation of servers containing the same spatial data sets is energy-consuming and results in burdening the influence on environment. Spatial data sharing, re-use and possibilities of interconnection of existing spatial data sources pose a solution. Therefore, the spatial data interoperability assurance (e.g. by private spatial data providers, state administration etc.) is required. The spatial data interoperability enables more efficient management and use of spatial data sets and achieving of desired savings.The principles of spatial data interoperability are described in the first part of this document. Emphasis is put on spatial data heterogeneities as the main problem of spatial data interoperability. Moreover, technologies focused on elimination of spatial data heterogeneities are discussed here. Subsequent paragraphs introduce selected instruments (metadata, schema languages, ontologies) which are based on data description and support data interoperability. The last section of this document is composed of examples of several international projects focused on spatial data description and processing of well-described spatial data through web services.</jats:p

Enhancing the Efficiency of ICT by Spatial Data Interoperability

In the present world of information and communication technologies (ICT) “Green ICT” represents a topic of immense interest. The meaning, sense and scope of Green ICT are quite varied and very wide. Hardware technologies, for example (virtualization of hardware) and corresponding methods are considered initiatives towards environment protection and sustainable growth. At the same time, however, improved development and implementation of existing tools influencing environment by implication (for example due to reducing travel costs or energy savings) are very important in terms of Green ICT. ICT solutions could also work as a device or medium of implementation of new environmentally friendly methods, for instance in agriculture or industry. Spatial data or data with a direct or indirect reference to a specific location or geographic area (INSPIRE Registry, 2009), like digital maps, data in navigation tools, are a significant means of correlating otherwise disparate sources of information. This chapter tries to show the relationship of spatial data and how it can benefit Green ICT. This relationship is vital, as spatial data plays a very important role in system and application (e.g. Geographic Information Systems) with the potential for making direct impact on environmental protection. Spatial data continues to be an integral part of common equipment like mobile phones, car navigation systems and computers. The numbers of these gadgets are constantly growing and so is the corresponding volume of spatial data sets. Within the context of this rapid growth, the costs of data capture, management, updating, processing and distribution are increasing. For example the operation of servers containing the same spatial data sets is energy-consuming and results in burdening the influence on environment. Spatial data sharing, re-use and possibilities of interconnection of existing spatial data sources pose a solution. Therefore, the spatial data interoperability assurance (e.g. by private spatial data providers, state administration etc.) is required. The spatial data interoperability enables more efficient management and use of spatial data sets and achieving of desired savings.The principles of spatial data interoperability are described in the first part of this document. Emphasis is put on spatial data heterogeneities as the main problem of spatial data interoperability. Moreover, technologies focused on elimination of spatial data heterogeneities are discussed here. Subsequent paragraphs introduce selected instruments (metadata, schema languages, ontologies) which are based on data description and support data interoperability. The last section of this document is composed of examples of several international projects focused on spatial data description and processing of well-described spatial data through web services.</jats:p

Prefarm Systems and economical analysis of practical experiences

The system of Precision farming guarantees a detail monitoring of data and information necessary for a successful decision in a crop production. The system is designed for a data collection from several sources. The data are collected by a service company and also directly by farmers. The paper also analyses the economical efficiency on the base of Medlov Farm. Next development is currently running under projects Prezem and AgriSensor

Monitoring and Environmental Information Sharing Regarding Climate Change

Natural and manmade disasters pose considerable challenges to sustainable development in Europe today. The risks vary among regions in the EU as well as among Member States, and Member States are thus put in different "risk positions". Disastersin particular floodsare increasingly having trans-boundary impacts. Transboundary issues make a common approach essential. This paper describe how innovative ICT solutions and communication practices play a potentially important role in alleviating the impacts of climate change. Our focus is on collaborative ICT platforms, including less explored areas of Web 2.0 and sensors network, and their integration into existing environmental monitoring systems and practices. This paper describes technologies, based on implementing rules for INSPIRE and UN SDI and OGC standards. Described are three basic models: use free publish free, outsource your data services, use your own solution.http://enviroinfo.eu/sites/default/files/pdfs/vol122/0273.pd

Linked Open Data for Environmental Protection in Smart Regions – from INSPIRE Data to Semantic WEB Data

This paper introduces with the specific objectives and initial results of the recently started project SmartOpenData - “Linked Open Data for Environmental Protection in Smart Regions” (SmOD project) that is supported by Seventh Framework ENV.2013.6.5-3: Exploiting the European Open Data Strategy to Mobilize the Use of Environmental Data and Information. The main concept of this project is based on idea to create real Linked Open Data (SmOD) infrastructure (also software tools and data sets) fed by freely available public data sources for biodiversity, environment protection and research in European rural territories, protected areas and national parks that satisfy the requirements of four (almost all possible) groups of target users of this product: public authorities, companies (also small and medium enterprises (SMEs), researchers and citizens. It is very important, that The SmOD project will focus also on how this initiative can be linked with the INSPIRE directive regulation, GEOSS Data-CORE, Copernicus (former GMES), completed environmental data related European scale Geographic Information System (GIS) projects (like Habitats project) and external third parties, as well as how it can impact economic and sustainability progress in European environmental protection and research. Five pilot project developments (for agro forestry management, environmental research and biodiversity, water monitoring, forest sustainability and environmental data re-use) will focus on metadata harmonization, semantic context how to reach spatial data fusion, as well how to visualize and publish the information in accordance of requirements of target users of that products

Enabling Efficient Discovery of and Access to Spatial Data Services

Spatial data represent valuable information and a basis for decision making processes in society. The number of specialisms that use spatial data for such purposes is increasing. Increasing is also the number of services enabling to search, access, process, analyse or visualise spatial data. Standardisation activities of the Open Geospatial Consortium (OGC) support standardised sharing of services through the Web. However, many services declared as OGC compliant do not respond or they are not available. The paper introduces an innovative solution for efficient discovery of and access to spatial data services compliant with OGC specifications. The research was performed in the context of the EnviroGRIDS geoportal. Several thousands of harvested services were quality checked and the summary of the testing including the identified problems are presented