How IoT Sensors Are Predicting Wildfire Risk in Real Time

Episode 33 of Internet of Things with Fexingo explores a growing frontier for connected sensors: wildfire detection and prevention. Lucas and Luna examine how a network of low-cost environmental sensors deployed across California's high-risk zones is giving firefighters hours of advance warning. They break down the tech: temperature, humidity, wind, and particulate-matter sensors feeding data into a machine-learning model that flags conditions exceeding historical thresholds. The episode profiles one specific deployment in Sonoma County, where a 2024 pilot program caught a nascent fire before it spread. They also discuss the challenges — battery life in remote terrain, false positives from campfire smoke, and the cost of scaling. If you've wondered whether IoT can help with climate-driven disasters, this is a concrete look at a system already in use. #IoT #WildfirePrediction #EnvironmentalSensors #ClimateTech #MachineLearning #California #SonomaCounty #FireDetection #SensorNetworks #EdgeComputing #LPWAN #LoRaWAN #PublicSafety #DisasterPrevention #Technology #ConnectedDevices #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo