Title:

Meshed LoRa Wide Area Network of Sensor Nodes for Precision Farming

As the data science industry evolves, the demand for better ways to collect and parse data are becoming increasingly sought after. Where there is the demand for better techniques (software), the demand for better hardware follows. This demand for better data collection and transmission stems from the advent of new machine learning models that rely on large amounts of precise, classified data to predict future outcomes. This is very general, and has brought about a wave of technologies that focus on the efficient collection and processing of data across all industries. In the immediate term, industries like farming are among the most likely to adopt all of these techniques to try and predict their future crop environments. With the ability to have an array of sensors outside of Wi-Fi range still being able to monitor and report on plants and animals, farmers would be able to maximize the efficiency of their farms. Due to efficiency being difficult to predict in the farming industry, and a cause for great loss for smaller farms, the prediction models produce great demand.

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