Topic 3: Asset Tracking and Fleet Management

Specific Challenge

Modern agricultural businesses and farms are complex enterprises that need to not only keep track of their diverse assets, but also manage increasingly large fleets of vehicles and mobile machines. Such assets may include (but are not limited to) animal food, fertilisers, seeds, or even living animals, as well as harvests, various kinds of biomass, and other goods. In addition, farming businesses in particular deploy various tractors and other machines that typically come from many different manufacturers.

Since assessing the quantity and quality of imported and exported goods manually is growing increasingly difficult and imprecise with the advancing industrialisation of agricultural businesses, the problem of controlling farming materials to be imported or exported needs to be addressed by precise, yet robust sensing solutions. To estimate, account for, and optimise the costs of diverse vehicle fleets, hardware and software systems both have to be tailored to interface with real-life everyday agricultural operations. The collection and analysis of aggregated data from various sources allow for not only precise accounting, but the generation of insights and opportunities for effective optimisation, as well.


  • Hardware solutions for assessing the quality and quantity of goods commonly imported or exported in the agricultural domain. These might include sensing equipment (such as scales to be integrated with load trailers), remote sensing technology, or entirely different practicable approaches.
  • Hardware and software for secure tracking of heterogeneous vehicle fleets and other mobile machines used in agriculture
  • Hardware and/or software for aggregating and analysing recorded data to optimise fleet usage, reduce fuel consumption, coordinate imports more efficiently, or achieve other desirable goals

Resources provided by ATLAS

  • Access to test sites
  • Contact with early adopters among farmers
  • Real vehicle and material data

Expected outcome

  • Increased precision in the assessment of imported and exported goods
  • Reductions in the time required to estimate the quantity and quality of transferred materials
  • Improved efficiency in fleet management
  • Decreased wear and fuel consumption by transport vehicles
  • Minimisation of idle time and empty trips