The current sensor solutions for Precision Farming consist of sensors interfaced with a transmission control unit, which take the classic connotation of a meteorological control unit on a pole, with all the limits deriving from the costs of structure, installation and maintenance.
Thanks to the ASCod project this limit is overcome with the creation of a network of intelligent sensors distributed in the field, cheap and without installation and wiring costs. Environmental data (air temperature and humidity, soil temperature and humidity, wind speed and direction, leaf wetting, etc.) are sent wirelessly to a Cloud structure that allows access and information sharing as well as their processing through predictive models for the optimization of treatments.
The result is a system that can provide information about:
- Prevention of fungal diseases to parasitosis
- Creation of forecast models
- Warning of adverse weather phenomena
- Degree of crop maturation
The integration of the micro-climate measured with the forecasts (macro-climate) allows the differentiation and integration of data, allowing a greater precision of the calculation models; moreover an open type structure allows to integrate and add different types of sensors.
The data collected flow into a cloud structure, where they are integrated and processed to provide punctual answers, using models that take into account the type of crop, land and external interventions. The result is a mass of data that can be integrated into modules, through calls to shared APIs.
At the base of the project there are the new generation wireless transmission protocols able to communicate data over distances in the order of several kilometers (such as LoRa-WAN) while maintaining a particularly low energy consumption.
The implementation of relatively small wireless devices, geo-localized by GPS technology, repositionable at will, able to work constantly for over two years without having to replace the battery, allows the agronomist to create and reconfigure appropriately a network of sensors with which to monitor the site according to the specific needs of the crop.
This project was co-financed by the European Union within the POR FESR 2014/2020.