As transversal activities, the following activities have been performed for coordination of: the coordination of the execution of the tasks, the organization of the official meetings have been performed, the first amendment, and the organization of the first and the second review
The ethics monitoring for human and personal data requirements has been managed as well during all the first period of the project.
AgriBIT puts emphasis on sustained provision and access of most relevant Earth Observation data, developing enhancements (data products and predictive models) targeting various types of crops out of EO observations to improve agricultural monitoring, development of the capacity and infrastructure necessary to make available and utilize earth observation information.
AgriBIT aims at targeting primarily technological AI challenges in PA, to demonstrate unique benefits behind combining precise positioning offered by modern and future GNSS with advances in Machine Learning/Vision and Artificial Intelligence systems performing cognitive analysis of large amounts of data (Big Data problem) made available from vast variety of sources, from large scale EO images to very localised aerial and ground based surveillance and monitoring systems.
AgriBIT targets development of robust and self-learning (AI-based) means of controlling heterogeneous vehicle systems with focus on Agricultural applications. Starting with nonlinear observer theory to build new efficient algorithms for sensor fusion of inertial, magnetic, range/position, velocity, and imaging sensors, through novel Machine Learning methods to understand the surrounding environments to autonomous self management of a mission. Target detection, tracking and understanding based on AI-vision with be key research subjects.
Many agricultural services on the market are not “smart”, assuming that users are “aware” of all opportunities and what implications certain measurements could have. It is common among farmers to consider technology as a powerful tool.
Whilst PA is a key to sustainable use of resources and decrease the spreading of diseases to crops, current solutions have brought more precise management capabilities to larger farm holdings. This in practice overlooks 70% of farm holdings in Europe whose size is below 15 hectares. AgriBIT provides innovative and advanced farm management services building on the increased accuracy and availability of GNSS enabled services, and its open architecture and approach supports the connection of the services across a wide range of sensors and actuators.
