En poursuivant votre navigation, vous acceptez l'utilisation de cookies destinés à des fins de mesure d'audience, à améliorer la performance de ce site et à vous proposer des services et contenus personnalisés. En savoir plus


L’X start-ups sowing the seeds of innovation in agriculture

On the occasion of the Paris International Agriculture Show, taking place from February 24 to March 4, École Polytechnique highlights two start-ups created by l’X students that are improving the daily lives of farmers: Fruition Sciences and Farmwise.

On Saturday, February 24, Paris Expo Porte de Versailles opened its doors to the International Agriculture Show. In honor of the occasion, we would like to allow you to discover two start-ups created by students of École Polytechnique that have made agricultural innovation the spearhead of their business.

Fruition Sciences

Fruition Sciences, a company founded in 2008 by Sébastien Payen (Year of Entry: 1998) and his associate, Thibaut Scholasch, is found at the intersection of agronomics, data science and web development. It provides wine producers and experts with a decision support tool for optimization of grape production in terms of irrigation, quality and yield. The tool consists of an online platform that allows growers and enologists to connect all the data from the vineyard, assisting them in their irrigation, fertilization and harvest decisions. Thanks to this cross-reference of all available data, wine farmers can obtain an improved, real-time view of the state of their vines, optimize resources and control production. For water management, for example, Fruition Sciences cross-references data from water stress sensors with climate data to obtain an irrigation optimization index. The wine producer can then irrigate in the right place, at the right time and with the optimal volume of water, saving on average 50% more water and improving grape quality and yield.


Sébastien Boyer (Year of Entry: 2011) and his associate, Thomas Palomares, are the founders of the Farmwise start-up. They have developed a machine that brings together deep learning and computer vision for plant recognition with the goal of improving weeding efficiency in agricultural areas, without the use of chemicals. Their objectives: increasing productivity for farmers, growing healthier crops and making agricultural production more economically and ecologically responsible. The two entrepreneurs have been collaborating with farmers to take into account the issues and constraints they face, and to offer machine solutions that are best suited to farmers’ needs and to the specific features of their crops.