The production of greenhouse crops is one of the most modern techniques currently used in agricultural production. Crop rotation is an agricultural practice to increase the productivity of the land and optimize the use of resources by alternating different types of crops in the same soil. The project called "Expert System for the rotation of crops in a greenhouse" was developed with the aim of making the decision of the type of suitable crop to be planted in the "San Sebastian" greenhouse. Since the risk of production loss is considerably reduced , so that it helps the producer to know which is the suitable crop to sow according to the experience of an agricultural expert; using physical sensors, the registration of ambient and humidity temperatures is obtained in real time; the software was developed by the prototype model.
Currently, with the technological advances applied in various sectors, they have changed the way they operate in the control of their processes. In the agricultural sector, the automation of processes increases productivity and improves the quality of products. In the production crops using greenhouses, these protect the different plants from excess cold at certain times of the year, allowing control of temperature, humidity and other environmental factors that favor plant growth. This project describes the function of the data acquisition module, which aims to obtain or generate values of the variables of humidity, ambient temperature and soil pH, through electronic devices such as sensors and the arduino for the operation of the neural network for crop rotation and soil analysis. Through an interface, it is linked to the expert system that shows the values and results generated by the neural network on the ideal type of crop to plant. For the development of the project, the model in Prototypes was used.
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