Currently, communications infrastructure such as zigbee, wifi or internet connexions are needed by sensors to automated the collection of data. Sometimes, dataloggers are needed as additional equipment. This technology present some limitations in security aspects interactions a data representation. These limitations force the use of manual measures with a higher error. The aim of this project is the development of a low cost data reading which solves these limitations. This is a versatile, reliable and secure system which it does not require network installations.

SAGIRA project has developed a system to analyze information from farming sensors, georeferenced, with specicialised stock and with an interface display which show the result data overprinted on the real images (augmented reality with mobile devices). This technology allows users to make relations between elements, not only pay attention on characteristics of them, as historically. Furthermore, users can check data using these relations and attributes. It is useful to optimization of water resources in crops and pesticides and fertilizers.

Objectives 1.To develop a novel application for smartphones to capture on-farm ketosis monitoring data. The app will be designed to work on android phones and i-phone/i-pads. The app will allow collection of data for the three most common testing modalities (urine, milk, and blood ketones).

Objectives The principal objective of this project is to design and develop mobile and web-based applications in order to enhance crop variety selection activities (real-time data accessibility, data analytics, and decision making). More specific objectives are to: 1.Identify and examine various crop management and performance data sources and data format. 2.Collect data in a centralized format (i.e.