The integration of emerging technologies for crop monitoring has enabled significant advances in agronomy. Researchers and companies have developed systems that combine advanced sensors and artificial intelligence for the early detection of crop diseases or managing crop production. Wireless sensor networks have been implemented to monitor environmental variables and optimize the use of agricultural resources. Internet of Things (IoT)-based platforms for real-time data collection and analysis, and the use of machine learning algorithms to predict growth patterns and detect anomalies in crop conditions are examples of advances in agriculture. In this work, a prototype was developed to monitor the health of agricultural soils, using a development board and sensors to measure soil variables. The prototype allows the measurement of variables such as soil moisture, temperature, pH, and levels of essential nutrients such as nitrogen, phosphorus, and potassium using a web-based system that enables the monitoring of soil conditions. The system includes a graphical interface for viewing real-time data, alerts on adverse conditions, practical recommendations for crop care, and the capture of plant images and soil data while monitoring soil health. The objective is to allow for better control of crop health. The developed application integrates advanced data processing capabilities, notifying users of potential crop problems and providing personalized recommendations.