Design and Implementation of IoT of a low power IoT Network for smart agriculture using LoRaWAN and Solar-powered Sensors
DOI:
https://doi.org/10.63075/sbwg7h90Keywords:
IoT, Smart agriculture, Solar-powered SensorsAbstract
This study focuses on the International Monetary Fund (IMF) programs' impact on macroeconomic stability in Pakistan, and whether this investigation helps determine how
Introduction: The demand to eat and the need to transfer to sustainable agricultural production has led to the adoption of high technologies within the sphere of agricultural production. It is crucial need and necessity to develop and integrate a low-power network of IoT in smart agriculture through LoRaWAN and solar energy-powered sensors and look into that in the best possible way possible.
Materials and Methods: The IoT system includes solar-powered sensors that monitor the key agricultural indicators such as the moisture of the ground, temperature, and humidity. The sensors deliver information to a main server through intelligent LoRaWAN technology. The network is low-power, scale-able, and trustworthy with the focus on the promotion of sustainable agriculture practices.
Results: The findings point to the fact that the IoT network can provide accurate and reliably acquired information on the condition of the farms, enabling farmers to take the proper decisions and utilize the available resources to a maximum. The solar energy-driven sensor can survive a long time without the noticeable decline in its efficiency, whereas the LoRaWAN technology provides the long-range communication option.
Conclusion: The study notes the potential of the IoT technology to transform the way agriculture is conducted so that it is both sustainable and less demanding on the environment. The LoRaWAN technology in combination with solar-powered sensors, applied in the experiment, can provide a practical and efficient approach to the practical application in smart agriculture as farmers will have the opportunity to obtain real-time data and make the appropriate decisions.