Precision Agriculture

Improving agronomic decision making

Thanks to the data collected by IoT devices and information from satellite images, a better understanding of the crop's condition is obtained, allowing for more efficient decision-making to maximize yield.

Anticipating adverse crop events

Act with agility and adapt production processes to adapt and react to unforeseen events and changes in the environment.

Pest and disease prevention

Artificial Intelligence algorithms can detect the plants risk of disease, allowing early action to be taken, thereby preventing pests and crop losses.

Integral optimization of resources and time

The availability of tools for variable application of inputs or irrigation recommendations according to crop needs, together with the digitalization of agricultural tasks and the creation of the digital field notebook, allows for cost reduction, increased sustainability, planning of future campaigns and increased efficiency in agricultural management.