Digital Farming

Abstract

Close monitoring of the most significant production processes is very important for any kind of production optimization. When talking about agriculture, gathering as much information as possible on soil condition and microclimatic conditions, which include insect activity, is essential for correct decision making in farming. Using a large number of various, low-cost sensors, gives us the opportunity to create a database for a smart farming algorithm. Processing such a database requires a software system, based on self-learning artificial intelligence. This system will later suggest an optimal agricultural activity. Using such a system, the farmer has better opportunities to take the right measures when needed. This article presents the method and the low-cost sensor system for analyzing soil in the field. It is integrated into the “digital farming” solution.