Data acquisition module for the operation of the Neural Network for crop rotation and soil analysis in a Greenhouse

Abstract

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.