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30MHz
Real-time Decision Making for Climate and Irrigation in Greenhouses
30 MHz developed a solution combining data monitoring software, data collecting hardware (wireless sensors), and machine learning to help farmers. The goal was to provide data-driven technology to bridge the gap between low-tech and high-tech farmers. The ML technology enables growers to make real-time decisions on climate and irrigation to create optimal growing conditions for crops. The AWS team helped develop and automate the ML pipeline using Amazon SageMaker. This prototype is currently being tested by 8 pilot growers.
This case study is in our research queue. We publish each one with the outcomes and the sources behind them, which takes time — check back, or read the ones that are ready.
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