ABSTRACT

We often associate technology with large urban metropolises, finance, or aeronautics and think the earth trades are deprived of it. The image of the farmer mowing his wheat manually has had its day; most farmers today are hyper-connected professionals using state-of-the-art equipment. With the arrival of drones, autonomous machines, sensors, data, software, and connected tools based on artificial intelligence (AI), smart farming further evolves the tools and tasks of professionals. Moreover, it allows them to respond to the sector's new challenges.

Improving harvests' managing maintenance, operating costs, and energy and water consumption while relieving the farmer of some of his repetitive tasks is now easier thanks to new technologies. AI makes it possible to develop workflow optimization tools to implement processes for better performance. However, if predictability and competitiveness are two of the sector's significant challenges, respect for the environment is just as much. On this point, many of the solutions developed by engineers and researchers are focused on artificial intelligence and, in particular, machine learning. New technologies based on AI, Internet of Things, big data, robotics, and advanced analysis, allow the development of precision agriculture. Giving farmers tools to observe, measure, and analyze the needs of both their farms and their employees allows better management of resources while reducing environmental impact and waste.