Data collection based on multi-agent modeling for intelligent and precision farming in lokoss region morocco

Precision Agriculture (PA) is an approach to farm management that aims to develop a sustainable agriculture that optimizes crop growth decisions by increasing yields and profitability of production for the farmer. Research in this context has confronted several challenges: dynamism of crop growth management, which makes it a complex problem and difficult to model, lack of qualified agronomic services and absence of site-specific fertilizer recommendations. The proposed solution in this paper aims to provide crop recommendations for the use of fertilizers, irrigation duration... by the adoption of multi-agent systems (MAS) that will overcome the complexity of the problem. In addition, we opted for wireless sensor network (WSN) to collect data on the agricultural environment, such as temperature, moisture, humidity and light. This solution divided into four parts, starting with receiving data from the sensor, filtering these data, visualizing and controlling components and finally arriving at the mining stage as a decision support system. In this article, our simulation was in Lokoss region in order to establishing a predictive analysis on the impact of climatic change on red fruits.