In Project / Activities / Pilot 3: Technology allows integration of logistics via service providers and farm management including traceability - Germany.

Technology allows integration of logistics via service providers and farm management including traceability - Germany

TThis pilot will be a first region covering model that integrates farm management, logistics with mobile communication and precision farming as well as the link to the new FOODIE datasets and sensor data.

Some machine cooperatives will be selected in the Southern part of Germany of the existing 40 cooperatives that work in Bavaria, Baden-Württemberg and Hessen. The chosen cooperatives will have up to 1000 farmers as members as well as cooperative offices that manage the cooperative machine. Farmer´s management system will be integrated with a service provider (machine cooperative). The dispatch office transfers the dataset towards a mobile device (smartphone incl. mobile GIS), where a map and an API allow the receiving of the new order and later on the transmitting of the fulfilled order back to the logistic centre and then to the farmer.

"Precise farming maps" will be transferred towards the machines and linked at the dataset to an e.g. fertilizer or pesticide machine with its interface to the map.

Regarding the geographical datasets LPIS (Land Parcel Information System) of the local government is imported as well as all farmers are linked to the logistic system with their own farm management system or a new service is build up for farmers that refused to run an own software. Beside LPIS ortho-images of Microsoft BING from 2011-2012-2013 flights with 30 cm resolution and 1 m vertical precision will be embedded. Further will be a rural area road network built up to be able to link also this road network to a route optimisation module. The necessary interfaces that are produced within FOODIE that allows access to different maps will be embedded. This could allow to link e.g. soil maps, hydrological maps etc.; also an interface towards meteorological or soil moisture sensors will be part of that pilot project.

Data sources

Data source used will be:

  • LPIS governmental data that with the approval of the participating farmers
  • Microsoft´s MS BING images with 30 cm resolution ortho-images. It will be undertaken to get different type of governmental data like soil map, fundament for precision farming recommendation as service with the additional help of soil investigations and/or satellite images like chlorophyll images.

Benefits for users using/supplying data

The target will be to have many farmers online and to get on the long run the public – Ministry of Agriculture - engaged in the setup and making these data access-able for free.

In the EC countries all ortho-images are available by the public but at the moment not free accessable (exception Finland, Czech Republic) by farmers and within FOODIE we will also contact all agro-webpage holders throughout EC to negotiate the access-ability and the pricing with them.

A farmer will be able from a product like WinGIS with additional applications to deliver data to FOODIE.

Different types of data can be taken into consideration as e.g. FOODIE can hold data for a traceability platform - that means a farmer delivers data password protected – and allows a next partner in the chain, the buyer, to get access to some or all data to use them further and put them after use and enhancing them back to the FOODIE platform.

FOODIE might become a "trust-centre" for farmer´s data where the farmer decides what data he delivers to whom.

Beside farmers and the Ministry of Agriculture other users of parts of the data might be insurance companies, banks, suppliers and buyers resp. the chain partners, environmental organizations and naturally also the public to verify the origin and quality of products.

More, we will have to evaluate within the project phase what is the value of data for other users then the farmer and how can we build up a data platform to make them easily available for other users than the farmers and how can we support the farmer for the allocation of the data.

Estimated values obtained

  • Machine cooperative as logistic manager – working as a service supplier for the industry collecting harvests and distributing seeds, fertilizer, pesticides – service income vs. costs.
  • Benefits for the industry vs. their existing costs, just in time delivery, increased product quality.
  • Benefits by the machine operators – contracts mobile online, less time to find a field, less failure to work on the wrong field.
  • Benefits for the farmers: less costs on the field,precise control of the operators (start, end time, hectare)
  • Ecological benefits: less carbon exhaust.