The objective of the FIGARO project is to significantly reduce the use of fresh water on farm level through developing a cost-effective, precision irrigation management platform. The platform will be structured for data acquisition from monitoring devices and forecasting tools, data interpretation, system control, and evaluation mechanisms enabling full decision support for end users at farm scale. These tools will be integrated with multiple state-of-the-art irrigation technologies and strategies as well as newly adapted devices leading to further increased water productivity.

The present production and delivery of real-time crop protection information is not optimal and there are bottlenecks to work on. This project will renew the way this valuable information is produced, shared and delivered. With an easy-to-use app, we shall activate farmers and forest owners to monitor crop pests. Together with helping to carry out monitoring and making and sharing pest observations the app service will be capable of delivering up-to-date expert information on crop pests and pathogens. The project participants share and build commitment to produce this expert information.

FATIMA addresses effective and efficient monitoring and management of agricultural resources to achieve optimum crop yield and quality in a sustainable environment. It covers both ends of the scale relevant for food production, viz., precision farming and the perspective of a sustainable agriculture in the context of integrated agri-environment management.

The project will design, develop and implement a Future Internet based Sustainable Irrigation Service (FISIS), which will allow end users to increase yield and, at the same time, significantly reduce both economic and environmental cost. FISIS will stimulate social networking and collective awareness among end users, targeting the dissemination of best practices, exchange of opinions, discussions and advice from experts.

Development of two Decision Support Systems for calculation of the utilisation of nutrients in slurry from animal production. The systems will lead to reduction of ammonium emmission and economical benefits for farmers.

Development of a computer system or smart application for calculation of a dairy cow's future value on basis of infomation in the Danish Cattle Database with a specific concern of paratuberculosis.

The overall objective of FUTUREMILQ is to devlop technologies and concepts that can ensure a future high food quality from existing and future milking systems. The purpose is to develop new methods for measurement of quality decreasing free acids, to develop a fast method for analysis of secific types of spores and to develop systems for monitoring and early warning.

The objectives of this project are: 1. Generate adequate information to understand the relationship between Somatic Cell Count (SCC), Diffrential Cell Count (DCC) and mastitis (intramammary infections) in dairy herds. 2. Develop guidelines to cost effective monitoring and control of mastitis in dairy cattle herds that should be offered with the commercail DCC product 3. Develop a commercial DCC product that will be used to automate the counting of DCC

Study and carring out of a smart sensors system based on multivariate models to limit unfavourable events in viticulture. Aim of the project is the development of a system for plant protection products uses in viticulture, which is guided in real time via internet and based on a previsional model.

Technological development of a forecasting model production for greenhouse tomato crop production, based on climatic, environmental and greenhouse variables of the area. Validation of the solution and creation of a software prototype as support tool to support for the construction of production agronomic forecasting model. Development of a support system for decision making (DSS) on the climate management, production and cost applied to a polygon greenhouses. It will be used as a simulator to assess climate, agronomically and economically different scenarios.

The aim of this project is to develop an irrigation management help tool for farmers based on the analysis and the state of the crop assessment (soil or sustrate), offering advice on the frecuency and last of the irrigation. The system make this kind of decision by itself based on the information obtained.

The aim of the project RIEGO-ASESOR is to develop and validate in field conditions a virtual advice integral system (On-Line) to make available an irrigation decision making system to end users. This system is for horticultural crops which are typical in intensive farming in the East of Spain.

Efficient agriculture water use is of crucial importance for water resources management. Consequently, accurately determining evapotranspiration (ET) is the first step for improving irrigation efficiency and productivity and for quantifying the ecosystem water balance. Several approaches for determining ET have been proposed in literature, but the relation between high and low spatial resolution methods still remains unresolved in irrigation studies and water management planning.

Integrated program to deliver automated, adaptive, precision irrigation system

This project uses hyperspectral sensors to look at nutrients in the landscape. The ultimate goal is to be able to evaluate fertiliser requirements in hill country without having to do traditional soil and pasture testing. This project is under a "Primary Growth Partnership" (PGP) with Ravensdown and Ministry for Primary Industries (MPI) New Zealand. The Pioneering to Precision programme, led by Ravensdown, seeks to improve fertiliser practice on hill country farms through remote sensing of the nutrient status of the farms and precision application of fertiliser.