Implementación de un sistema de agricultura de precisión basado en IOT y redes de sensores inalámbricos para la gestión integral de cultivos de café en la finca experimental Lodana de la Universidad Laica Eloy Alfaro de Manabí.

Abstract

This project aims to modernize how coffee crops are managed at the Lodana Experimental Farm by using innovative technologies like the Internet of Things (IoT) and wireless sensor networks. The main idea is to apply precision agriculture tools to boost productivity and make smarter use of resources. We started by evaluating the farm’s current setup and identifying areas for improvement, particularly in data collection and managing irrigation and fertilization. Then, we installed sensors to measure critical factors such as soil moisture, temperature, and sunlight. These sensors send real-time information to a centralized platform, where we can analyze what the plants need at any given moment. Using this data, we designed a system to make more informed decisions, such as when to irrigate or apply fertilizers. We also developed a predictive model that helps anticipate potential issues like diseases or water shortages, allowing us to address them before they become major problems. To ensure long-term success, we recommend training the farm team in these new technologies, maintaining the equipment regularly, and exploring ways to power the devices with renewable energy. With this approach, the Lodana Experimental Farm could become a model for how technology can transform agriculture, making it more efficient, sustainable, and beneficial for both people and the environment.