Drivers: #simplicity of the tool #working comfort #interoperabilityFor DSS, the economic driver was not a top priority, it was rather the global performance and precision of decision provided.
Attendees declare that they would use more FMIs (like Consélio by TERRENA) as these kinds of tools were more intuitive/easier to use and if they allow quick data entering (double entry…). They would also use guidance, camera because they allow remote access, providing a working comfort.
Reason of choice for sensors is mainly the price (discount opportunity?), number of options, interoperability with other tools and reputation of the provider. For communication tools, a driver is speed/facilitation of exchange, as much from advisor to farmer as between advisors for expertise sharing.
Another driver for any kind of tool is the innovation wish: « being proud to be among the first using these tools » & opportunity to reduce inputs (less money waste & better environmental impact, “clean job”).

Barriers: #ROI & cost #interoperability/compatibility #poor connectivityThe high cost of investment is a barrier, especially for small farm sizes, then trouble with tool compatibility (app and tractor console) that demands training, also lack of connectivity.

Risks: #dependency #social disconnectionDependence on firms and tools (linked with loss of common sense, lack of anticipation, panicking when it no longer works…). Time wasting. Lack of disconnection: possibility for a too thin separation between professional and personal life (“We check the milking data first thing in the morning”). Loss of social connection. Data loss. Theft of costly equipment.

Looking to the future/trends: #weather forecast #automation & robotics #precise spraying Reliable weather forecast applications: many tools exist but they are sometimes not comparable and give different results, it seems like reliable information can be found for the next 10 to 15 days, but it would be nice to predict further dates. Robotics: autonomous & smart tractors to replace the driver and detect and repair field anomalies without human surveillance (ex: debug when tractor gets stuck). Apps that allow data transfer between different tools & different operators (search of a higher interoperability). App connected with tools: e.g. for spraying: with simple scan of the product, and thanks to GPS location it automatically registers in a dedicated app, an operation with the scanned product, on the precise location of the tractor. Some companies are already developing some solutions, like Aptimiz visited by the Path2DEA consortium at SIVAL trade fair 2024 – France. The showcase is particularly interested in precision farming solutions with soil resistivity maps to adapt quantity of inputs (seeds and PK fertilizers) and satellite images to manage N fertilization on wheat and oilseed rape. Indeed, several technological bricks exist already (sensors, algorithms, smart tractors and smart implements…) but some links seem to be missing between these bricks, so that unfortunately this digitalised farming can’t spread as easily as wanted to farmers. We are thinking in particular of the crucial step of transferring the task-maps received on the farmer’s computer, to the electronic tractor consoles.