CROP SENSING AND MONITORING
Centralization of agroclimatic data in a user interface, obtained through sensorization and open data.
Connection of devices (IoT) connected to Internet to manage irrigation.
Real time monitoring of crops in all its extension with real time information of the agricultural operation and visualization to measure it.
Obtaining a history with a record of all data obtained, geolocalized and dated.
Big data is a term used to define a massive amount of data that exceeds the capacity of traditional software to be captured, managed and processed.
Data Processing and Management
The repeated measurement of the same variable generates an infinite amount of data that later must be filtered, smoothed and processed. The most powerful statistical techniques that allow the analysis of this data and to find patterns and/or relationships with the variables of interest.
Technical Advisory Service
Where the management of the service and the crop is evaluated and assessed, giving personalized recommendations for each client. The reports are based on the data taken in the field during the time of cultivation and the needs of each crop. They would be carried out using standard memories made using reproducible science tools, where calculations, summaries and crop evolution would be added.
Machine learning, by their nomenclature, are statistical techniques of automatic learning whose objective is to develop techniques that allow computers to learn from the supplied data.
Machine learning can be understood as an attempt to automate the development of relationships between data using mathematical methods.