Aggregate Farming in the Cloud : The AFarCloud ECSEL project

• Farming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate monitoring of soil and crop properties and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate Farming in the Cloud) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labor costs. Moreover, such a platform can be integrated with farm management software to support monitoring and decision-making solutions based on big data and real-time data mining techniques. © 2020 The Author(s)

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)

Keyword

Autonomous and semi-autonomous vehicles

Autonomy and cooperation

Crop monitoring

Cyber-physical systems

Farming robots

Livestock management

Smart & precision farming

Aggregates

Agricultural robots

Animals

Cost effectiveness

Decision making

Embedded systems

Health risks

Productivity

Real time systems

Veterinary medicine

Wages

Animal health

Crop properties

Distributed platforms

Domain specific

Economic challenges

Farm management

Labor shortages

Real-time data mining

Data mining

Publication and Content Type

ref (subject category)

art (subject category)