Intelligent, collaborative and sustainable agriculture with smart farming: use cases

Farms are subject to several hazards, including those related to weather and disease risks that can affect crops in the field. It is therefore essential to maintain constant surveillance and, if necessary, to provide the necessary solutions as soon as possible. Smart agriculture enables data to be collected, shared and used. The objective is to achieve significant productivity gains and reduce costs. How can the connected objects of smart farming, such as sensors and GPS geolocation for example, concretely meet the needs of farmers? Here are some examples of uses.

Connected solutions for environmental monitoring and real-time data

Connected weather stations allow you to obtain a lot of information in real time, such as temperatures, humidity levels (hygrometry) or atmospheric pressure. IoT sensors work inside greenhouses, as well as outside.

This provides farmers and ranchers with the means to ensure that their crops and animals are in optimal conditions. In particular, they will be able to detect the point of frost and make the appropriate decisions. Smart collars on animals are particularly effective in tracking the movements of livestock and ensuring the health and safety of the animals. The use of IoT sensors also helps optimize the towing and distribution of forage on the land.


Connected solutions for environmental monitoring and real-time data

The proper irrigation of soils and the control of water consumption are important issues for farmers. IoT applications develop connectivity between objects.

They allow, for example, to trigger automatic watering based on predefined criteria (temperatures, changes in humidity levels, etc.).

The farmer will also be able to take control of his watering systems remotely. Finally, IoT sensors provide information that can be used to identify specific areas, even in the middle of very large fields, that require specific treatment (pest control, fertilizer application, etc.).

Perform predictive analytics with digital agriculture precision technologies

Some smart farming or smart agriculture innovations offer opportunities to efficiently exploit the data collected in various fields. These IoT solutions help farmers and ranchers refine their forecasts, including by:

  • determining precisely the harvest period,
  • evaluating the level of performance,
  • measuring the likelihood of a disease striking livestock or crops.

Other advanced analysis tools help optimize irrigation water and fertilizer consumption. The evolution of intelligent agricultural robot technology is also opening up opportunities. Such robots are able to take into account various key factors, such as weather forecasts and the physiognomy of the cultivated plots.

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