Sensors for agriculture are one of the key elements for the digitization of the farm. In fact, they detect fundamental data that allow to assess the health of the crops: after analysis and comparisons, they give the possibility to plan targeted interventions.
The use of this data in the decision-making process reduces the use of human labor in the fields, ensuring a higher quality of operations, such as monitoring activities, as well as reducing the use of resources.
The use of sensors, such as agro-meteorological sensors, makes it possible to register and obtain several data related to crops (e.g. leaf wetting) and the surrounding environment (air humidity, temperature and wind speed values). The availability of these data has contributed to the diffusion of forecast models to evaluate and estimate crop growth and the presence of diseases.