The goal of our project is to establish a comprehensive system to monitor and optimize the drying process of natural food products, ensuring consistent quality and efficient drying through advanced deep learning techniques. To achieve this objective, first a comprehensive study of the solar drying process will be conducted, identifying the most relevant parameters for process control and improving the accuracy in measuring the water retention level in the products. Then, we will implement a control algorithm based on neural networks to improve the solar drying process, using an integrated autonomous photovoltaic system, in order to obtain better control over the environmental parameters involved in the drying process.