Good evening,

I can give a concrete example from our agriculture initiative in southern Senegal, where we are using drones to assess agroecological practices.

Thanks to AI, we can analyze these practices in depth: the camera-equipped drone we used collects valuable crop data while flying over the fields. This approach enables an accurate assessment of farming activities, with an emphasis on agroecology. By observing family farms from the air, drones provide crucial information on crops, irrigation, soil management and many other aspects. This has enabled us to make an accurate assessment of the various farming activities in the southern zone of Senegal, with its emphasis on agroecology. Drones offer an aerial perspective that can confirm whether farming practices are really in line with this approach. Drones therefore play an essential role in assessing family farms and promoting agroecology.

There are also highly effective applications that use algorithms for programming. For example, in Senegal, on the farms I was following, the times of fertilization and treatment on the farms are programmed by a very efficient algorithmic application that even tells you what type of fertilization you need to do, and then during the harvesting phase it lets you know with a precise assessment the possibilities of harvest quantity and all the expenses to be used during the harvesting period. They send reminders to our computers and cell phones. It's really handy for optimizing farming practices and improving efficiency. That's why I've enrolled in a virtual computer university (web gaming application development) in Senegal in agronomy since 2022! In a few years' time, when I've acquired the necessary knowledge, I'll be able to participate as an agronomist in the development of agricultural applications.

It's really exciting to see how technology can support sustainable agriculture!