Cultiva el Futuro Monitoreo de Condiciones Ambientales Para los Cultivos de Café en Colombia, Caso Finca El Cascajal Ubicado en San Mateo, Boyacá

Abstract

This thesis project focuses on the development of a monitoring system to optimize coffee cultivation at the El Cascajal farm, located in San Mateo, Boyacá. This system utilizes a combination of sensors to measure critical variables such as temperature, ambient humidity, precipitation, and soil moisture. The collected data is transmitted to a server via a Wi-Fi router and stored in a MariaDB database, allowing for visualization and analysis through a web page. The project's methodology includes the selection and calibration of sensors, the development of hardware and software prototype, and the implementation of field tests to validate the system. Devices such as the ESP32 and the T95 TV Box were used for data collection and processing, and an Apache web server with PHP and MariaDB was configured to manage the information. Field tests demonstrated the system's effectiveness in real conditions, providing accurate and timely data for decision-making in crop management. Finally, the project highlights the importance of data accuracy and timeliness in improving productivity and the health of coffee crops. The comparison of the obtained data with reliable meteorological sources confirmed the system's validity, and areas for improvement for future implementations were identified. This advanced monitoring system represents a significant step toward smart and sustainable agriculture in Colombia.