Latest / Internet of Things with Fexingo: Connected Devices, Sensors, and Industrial IoT
How IoT Sensors Are Predicting Corn Yield Before Harvest
Today Lucas and Luna dig into a new kind of precision agriculture: using IoT sensors and machine learning to predict corn yield weeks before harvest. They walk through a specific case from Iowa where a network of soil moisture, temperature, and leaf wetness sensors—combined with satellite imagery—helped a cooperative estimate yields within 5 percent of actuals. The episode explores the technology stack, from low-power LoRaWAN sensors to edge computing, and the economic payoff for farmers and grain elevators planning storage and logistics. Lucas explains how early yield estimates can de-risk…
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