WirelessInfo

Geographic Information Systems (GIS) and spatiotemporal data analysis play a key role in modern agriculture by enabling farmers to make evidence-based decisions.These technologies integrate meteorological data, satellite imagery, and local sensor measurements to provide precise and localized information for planning and executing agricultural operations.This contribution introduces the info4agro.complatform, which helps farmers implement decision-making workflows by providing actionable insights and tools to support key agricultural activities.Through real-world use cases, the contribution demonstrates how this platform enables efficient decision-making, enhances sustainability, and improves productivity.

The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc. <br><br> This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1’284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.

Abstract. The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc. This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1’284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.

The systems that are able to work with data from remote sources are becoming more and more important. Management and the usage of data stored on remote sources (external servers) without the necessity of data replication give us the chance to try to solve some of the problems that requirements for fast and easy data usage present. This solution is based on the principles of remote data retrieval through data management systems. The main objective of the chapter is to present unique web solution for spatial data management in the form of integration using different kinds of spatial web services together with internal data sources (files, databases). A very important point is also the collaboration of this tool with other web tools in the same portal solution. Map Project Manager and the Uniform Resource Management system are the programmes able to provide geodata integration and SW tools collaboration within a web environment.