Study for the detection of soil water response for ModpoW

ModpoW is a company specialized in the creation of products based on wireless technologies, sensors and general electronics, oriented to the management and monitoring of natural resources.

ModpoW has created a monitoring-based solution to optimize water and fertilizers in professional agriculture. The solution, which can save more than 30% of the annual consumption of water and fertilizer, monitors the data of liquid underground to elaborate a recommendation of irrigation to the farmers, according to the conditions in real time of each plot.

In this project, a machine learning model will be carried out capable of detecting the different phases, which occur naturally and at different depths, when watering a field of cultivation.

This detection will be made from the measurements collected by the sun water volumetric content sensors, which Modpow installs at different depths in the fields.