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Smart farming

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We develop solutions for monitoring and analysing environmental parameters for smart agriculture and livestock farms, helping to improve productivity and optimise resources.

Thanks to a platform of wireless sensors connected to the cloud, the farm manager can know the status of the farm in real time from an electronic device and make immediate decisions to improve productivity and thus the profitability of the farm.

Our Smart Farming IoT Solutions

Smart Farming

Air quality solutions and water resources solutions for agricultural and livestock production holdings in order to save costs, improve business processes and productivity.

Weather monitoring for precision agriculture Crops monitoring Animal health monitoring on farms

IoT based Smart Agriculture Monitoring System

Smart Agriculture, or intelligent agriculture, refers to the use of cutting-edge technologies in agriculture to optimise production, reduce costs and minimise environmental impact.

Among the technologies driving the development of Agriculture 4.0 is the use of agricultural sensors to monitor variables such as temperature, soil moisture, air quality or the possible presence of pests and diseases.

These sensors are integrated into agricultural equipment that is connected through the Internet of Things (IoT) to create wireless networks that collect agricultural data (big data) to identify patterns, predict crop yields, optimise resource use and make informed decisions.

This approach, which is important for a wide range of crops, can be applied to different farming environments, including open field agriculture, horticulture, viticulture and precision farming in greenhouses.

IoT applications in Agriculture Smart Farming

Microclimate control

Microclimate control

These solutions make it possible to control the microclimate inside greenhouses to maximise fruit and vegetable production.

Irrigation optimisation

Irrigation optimisation

By controlling soil moisture or the amount of rainfall, the use of irrigation water resources can be optimised.

Quality improvement

Quality improvement

By monitoring parameters such as stem thickness, soil moisture or temperature, the properties of the final product can be controlled.

Decision making

Decision making

By having meteorological data and physical crop data available, risk situations (icing, rainfall, drought) can be predicted and informed decisions can be made.

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