With the growing world population, accelerated climate changes and global migration, nutritional security becoming one of the major challenges. This situation calls for fast development and utilisation of agricultural technology that will push agricultural yield production to its full potential.
Yield estimation in agricultural production is therefore very important. It is central for both agricultural planning as well as for successful agroeconomic management. It is currently almost solely done manually without assisting technology and it is therefore inaccurate and partial. To meet this challenge, we offer a unique sonar sensing system for estimating vegetable yield. Our technology, as demonstrated in a patent and in a recent peer reviewed paper, has unexampled advantages compared to other sensors. The sonar-based crop estimating sensor has been patented and initial tests show that it is capable of estimating pepper yields with 90% accuracy. In this project, we intend to expand those tests to other vegetables including tomatoes and cucumbers, aiming to provide farmers with a reliable tool for crop estimation. The project will provide the necessary steps for establishing a spin-off company that will exploit this invention and provide a product to the benefit of European and worldwide farmers. Our goal is to collect data from end-users in the EU, to improve the Artificial Intelligence algorithm that analyses the measurements of the sensor and to be ready at the end of the project for raising further investments to develop the full product. Our team is composed of sonar, robotics and business experts. We will collaborate with agri-robotics companies and agricultural stake-holders in Europe to fulfil the goals of the project.
