Agriculture provides humans with necessary food and raw materials, but its environmental impact is unacceptably high. Much effort is underway to make agriculture more sustainable, for example through precision agriculture or organic agriculture. In all of agriculture, controlling weeds is a major issue. Weed control with herbicides leads to a large environmental impact. Manual weed control leads to back-breaking labour, high labour costs, and difficulties of finding sufficient labour. The main objective of GALIRUMI is to deliver robot weeding for herbicide-free weed control in dairy farming. Robotic weeding will reduce the environmental impact of dairy farming by eliminating herbicide use and reducing exposure of farm workers to herbicides. It will also remove an important obstacle for dairy farmers to switch to organic production, thereby contributing to an increase in production of organically produced milk and higher incomes for farmers. GALIRUMI will develop and demonstrate a number of innovative technologies in weed detection, weed degradation, autonomous vehicles and robot-as-a-service for precision dairy farming based on precise navigation provided by EGNSS. Several areas of expertise are needed for successful development of practical robotic weeding: • EGNSS • Computer vision for weed detection • Construction of farm machinery • Providing services to farmers • Weed science • Dairy research The robotic weeding control system is the end product that GALIRUMI is aiming to put into practice and commercialise, proposed by dock weeding as a service either by: • Laser defoliation system using small robot that requires frequent application in the field. • Medium sized robot system with an electrocution tool that requires single season application in the field. GALIRUMI will significantly reduce manual labour for weeding, weed management cost, damage to grassland from the application of herbicide, impact of dairy farming on the environment and dairy cow discomfort

The IoF2020 project is dedicated to accelerate adoption of IoT for securing sufficient, safe and healthy food and to strengthen competitiveness of farming and food chains in Europe. It will consolidate Europe’s leading position in the global IoT industry by fostering a symbiotic ecosystem of farmers, food industry, technology providers and research institutes. The IoF2020 consortium of 73 partners, led by Wageningen UR and other core partners of previous key projects such as FIWARE and IoT-A, will leverage the ecosystem and architecture that was established in those projects. The heart of the project is formed by 19 use cases grouped in 5 trials with end users from the Arable, Dairy, Fruits, Vegetables and Meat verticals and IoT integrators that will demonstrate the business case of innovative IoT solutions for a large number of application areas. A lean multi-actor approach focusing on user acceptability, stakeholder engagement and sustainable business models will boost technology and market readiness levels and bring end user adoption to the next stage. This development will be enhanced by an open IoT architecture and infrastructure of reusable components based on existing standards and a security and privacy framework. Anticipating vast technological developments and emerging challenges for farming and food, the 4-year project stays agile through dynamic budgeting and adaptive decision-making by an implementation board of representatives from key user organizations. A 6 M€ mid-term open call will allow for testing intermediate results and extending the project with technical solutions and test sites. A coherent dissemination strategy for use case products and project learnings supported by leading user organizations will ensure a high market visibility and an increased learning curve. Thus IoF2020 will pave the way for data-driven farming, autonomous operations, virtual food chains and personalized nutrition for European citizens.