An Intelligent Approach for Enhancing the Agricultural Production in Arid Areas Using IoT Technology
Abstract
The increasing of dates fruit development in Algeria becomes important for the next generations because it can enhance the national economy. To improve the production of this treasure more than more, we need to analyze and to monitor the previous production for giving the consequences that can make the best results. Since we have many farms with a large number of palms tree it is a difficult task to supervise and collect data in a short time. For this major problem, we need to integrate a set of components that can communicate together to support the farmers in collecting data. Therefore, the solution to this issue is to propose an intelligent architecture that uses a method that can help the expert to make decisions. In this work, we present a solution to forecast the dates fruit production based on historical data, in order to enhance the quality and the performance of the production in coming years. Moreover, to collect data in this work we use an intelligent technology with a drone to facilitate the collection operation. The implementation of this model has been provided in order to evaluate our system. The obtained results demonstrate the effectiveness of our proposed system.
Keywords
Agricultural science Dates fruit production IoT agriculture NFC Support vector regression Decision support systemReferences
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