LoRaEdge-ESP32 Synergy: Revolutionizing Farm Weather Data Collection with Low-Power, Long-Range IoT
Keywords:
EDGE Computing, ESP32, IoT, LoRa communication, Weather monitoringAbstract
In today’s rapidly advancing world of precision agriculture, keeping a keen eye on the weather is not just a good idea; it is essential if you want to maximize the benefits of irrigation, crop management, and resource allocation. Building on our past efforts with a weather station powered by LoRa Edge, our study delves into enhancing data accuracy, system efficiency, and weather prediction capabilities. By incorporating cutting-edge sensor calibration methods and real-time data filtering, we are really stepping up our game in terms of how reliable our readings of temperature, humidity, soil moisture, and rainfall are. To beef up the system’s effectiveness, we have integrated an AI-driven predictive model. This tool helps in analyzing weather patterns and gives farmers a heads-up on what might be on the horizon. Thanks to LoRa technology, the system offers long-range and low-power data transmission, which is just perfect for those remote farming areas where standard cellular networks fall short. The entire setup is powered by an ESP32 microcontroller, which takes care of edge computing. This means data is processed right on the spot, minimizing the need for cloud services. We have also put together a web and mobile dashboard that allows for real-time monitoring, visualization, and automatic alerts. By enhancing data accuracy and leveraging AI-powered strategies, this system provides a scalable, energy-efficient, and cost-effective way to offer farmers real-time, actionable insights, ultimately boosting agricultural productivity and sustainability.
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