Abstract This project will address key agronomic/soil related challenges currently impeding sustainable intensification (SI). Current levels of wastage and field losses across the UK horticultural sector are not sustainable and are largely attributed to soil degradation-related constraints and inappropriate crop management approaches. This project will focus on minimising wastage and field losses as underpinned by sustainable soil management. Soils are the foundation of food production as they support crop production, and for growers, soil is their primary business asset.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). Collaborative project: Using Big Data in the agricultural production in an innovative way – Sub project title: Development of applications for smart devices and an agro-information system well as connecting machinery data with agronomic parameters The objectives of the project are the development, implementation as well as the pilot test of a digital infrastructure system.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE) . The goal of the project is to develop a prototypical infrastructure of complementary services to predictively support agricultural processes exemplified by the harvest of silage maize. Already available but currently not used data will be unlocked and provided via interoperable services. This data originates from farm management systems, the machines themselves, public (Geo-) Information Infrastructures (e.g.

This project aims at creating a novel decision support system to manage crops, which takes into account the needs of the plants and the environmental conditions. The system captures relevant data by means of wireless sensors and manages this data in an integrated cloud solution which includes self-learning algorithms. The project aims at building on Swiss agronomic excellence, namely in fruit orchard management, Agri-ICT and crop modelling and leveraging the existing pest forecast system SOPRA.

Using precision technologies, technology platforms and computational biology to increase the economic and environmental sustainability of pasture based production systems. PRECISIONDAIRY will develop a prototype platform that combines the disciplines of sensor/biosensor development, communication standards and database design with modellers, existing databases and mathematicians with the objective of increasing the environmental and economic sustainability of Irish pasture based dairy farms.