Humanized Machines

Yaxe

Augmented Perception for Farmers

Yaxe

Augmented Perception for Farmers

Yaxe

A significant global impact can be produced by sustainable farming and agricultural processes, with increasingly affordable products delivered at home and with fewer environmental consequences. Yaxe is working to support agriculture, as the lifeblood of any community, maximizing the benefits of agricultural practices for the plants and crops of the future.

The Product

Yaxe aims to support the decisions of farmers and other stakeholders in the value chain to improve farm profitability through sustainable agricultural practices. Yaxe will help farmers to face adverse conditions, to prevent potential issues and to suggest in real time the best nourishment for their crops.

How Does It Work?

Yaxe is an end-to-end agnostic platform able to empower growers with a set of actionable real time recommendations that improve farm profitability and sustainability. Yaxe is the result of a mix of edge- computing technology and data-driven algorithms, leveraging the deep know- how in plants growth, to deliver a new level of support for farmers allowing them to remotely predict and suggest the best actions to take in their fields.

Aims and Next-Steps

Yaxe has been set-up as a joint- venture between e-Novia and Valagro, a leader in the development, production and commercialization of biostimulants and advanced nutrient solutions for crops. The company is optimizing a prescriptive and predictive algorithm, and it is developing a system integration with external data sources in order to become sensor-agnostic. The system is under testing with a multy-strategy approach; indeed the tests will be performed on-field, in controlled environment and in simulation environment with the goal to collect and analyze hydric stress data coming from different sources and with different level of reliability. The next steps will be to increase the platform capabilities, through the algorithm optimization and different test types execution, allowing the prediction of other abiotic stresses.