Lucas and Luna examine the practical realities of the Internet of Things, from sensor calibration to industrial mesh networks. Each episode grounds a specific IoT domain—smart agriculture, predictive maintenance, connected logistics—in measurable outcomes: cost per node, data throughput, failure rates. They discuss why some deployments succeed while others stall, referencing case studies like a factory floor retrofit in Stuttgart or a city-wide air quality network in Bengaluru. The conversation stays close to engineering constraints—power budgets, latency requirements, security patches—never drifting into abstract promises. Lucas often presses on vendor lock-in and protocol fragmentation; Luna pushes back with real-world interoperability examples. This show serves engineers, product managers, and strategists who need sober assessments of what connected devices actually deliver. By the end of an episode, you will understand why one smart building project cut energy use by 18% while anot
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What is Internet of Things with Fexingo: Connected Devices, Sensors, and Industrial IoT?
Internet of Things with Fexingo: Connected Devices, Sensors, and Industrial IoT is a business podcast hosted by Fexingo, with 154 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
About the host
Fexingo hosts Internet of Things with Fexingo: Connected Devices, Sensors, and Industrial IoT, a business show with 154 episodes published.
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Episode #158
How IoT Sensors Are Predicting Wildfire Spread in Real Time
Aug 18, 20269 minS4
Wildfires are getting faster and more unpredictable. In this episode, Lucas and Luna explore how a network of IoT sensors—dense, low-power, and solar-powered—is giving firefighters a real-time picture of fire behavior. They zero in on a pilot program in the Sierra Nevada that uses hundreds of ground-level sensors to measure temperature, humidity, and wind every ten seconds, feeding a model that predicts where a fire will likely move in the next hour. The hosts break down the hardware, the data pipeline, and the tough trade-offs: battery life vs. sampling rate, edge computing vs. cloud, and the reality that sensors can't replace human judgment. They also talk about the cost—around a hundred and fifty dollars per node—and how that scales for a state like California. If you've ever watched wildfire coverage and wondered how crews know where to drop water, this episode gives you the nuts and bolts. #IoT #Wildfire #SensorNetworks #FireTech #ClimateTech #SierraNevada #EdgeComputing #SolarPower #PublicSafety #DataScience #Technology #Business #FexingoBusiness #BusinessPodcast #ConnectedDevices #IndustrialIoT #RealTimeData #FirePrevention Keep every episode free: buymeacoffee.com/fexingo
How IoT Sensors Are Detecting Landfill Gas Migration
Aug 17, 20266 minS4
Landfills don't just sit there. They generate methane and other gases that can seep through soil, drift into basements, and even cause explosions. In this episode, Lucas and Luna look at how IoT sensors are turning passive gas monitoring into an active, real-time safety net. They drill into a 2019 incident where a landfill's methane migrated into nearby homes, and how regulators changed the rules because of it. They also break down the sensor stack — the catalytic bead sensors, infrared detectors, and wireless mesh networks — and explain why the cost of a sensor node dropped from thousands of dollars to a few hundred. Plus, the role of machine learning in distinguishing normal gas fluctuations from genuine migration events. If you've ever wondered what happens under a capped landfill, this episode gives you the details. #LandfillGas #MethaneDetection #IoT #SensorTechnology #EnvironmentalMonitoring #GasMigration #WirelessSensors #MachineLearning #Safety #Regulation #SubsurfaceMonitoring #SmartCity #FexingoBusiness #BusinessPodcast #Technology #Innovation #DataAnalytics #CleanTech Keep every episode free: buymeacoffee.com/fexingo
In this episode of Internet of Things with Fexingo, Lucas and Luna explore the growing role of IoT sensors in monitoring methane emissions from landfills. With the EPA's updated landfill methane rules set to take effect later this year, operators are turning to continuous monitoring to detect leaks early and reduce greenhouse gas emissions. The hosts discuss how a typical landfill deploys a network of wireless sensors, what the data looks like, and why this technology is becoming a standard part of compliance. They also touch on the economics—how sensor networks can save money by preventing costly fines and even generate revenue through carbon credits. Tune in for a practical look at how IoT is helping one of the oldest industries go green. #IoT #MethaneMonitoring #LandfillTechnology #EnvironmentalTech #SmartSensors #GreenTech #IndustrialIoT #ClimateAction #EPA #Sustainability #SensorNetworks #WirelessSensors #DataAnalytics #CarbonCredits #TechPodcast #BusinessPodcast #FexingoBusiness #InternetOfThings Keep every episode free: buymeacoffee.com/fexingo
How IoT Sensors Are Stopping Food Waste Before It Starts
Aug 15, 20268 minS4
In this episode of Internet of Things with Fexingo, Lucas and Luna explore how IoT sensors are tackling the staggering $1 trillion food waste problem. They dive into a specific case: a mid-sized grocery chain that deployed wireless temperature and humidity sensors across its cold chain, from delivery trucks to store shelves. The sensors send real-time alerts when temperatures drift, catching problems before produce spoils. The episode unpacks the surprising data: most waste happens not in transit, but in the store's backroom and on the sales floor, where open refrigerators and human error cause temperature swings. Lucas explains how machine learning models turn raw sensor data into actionable predictions, flagging which pallets are at risk days before they'd fail. Luna adds perspective on the economics, noting that the chain cut spoilage by 23 percent in the first year, saving millions. They also discuss the challenges: sensor calibration, battery life, and the need for staff buy-in. Tune in for a concrete look at how connected devices are making food fresher and waste smaller. #IoT #FoodWaste #ColdChainMonitoring #SmartSensors #SupplyChainTech #MachineLearning #GroceryRetail #Sustainability #Technology #Business #FexingoBusiness #BusinessPodcast #ConnectedDevices #IndustrialIoT #SensorData #WasteReduction #FreshFood #RetailTech Keep every episode free: buymeacoffee.com/fexingo
How IoT Sensors Are Predicting Corn Yield Before Harvest
Aug 14, 202611 minS4
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 marketing decisions and prevent bottlenecks, while Luna challenges the cost barrier for small farms. They also touch on the growing role of agtech startups and data cooperatives. If you're curious about how IoT is quietly transforming one of the oldest industries, this episode gives you a concrete example you can bring up at dinner. #IoT #PrecisionAgriculture #CornYield #AgTech #LoRaWAN #MachineLearning #SmartFarming #SoilSensors #SatelliteImagery #EdgeComputing #IowaFarming #GrainElevators #DataDrivenFarming #Technology #Business #FexingoBusiness #BusinessPodcast #ConnectedDevices Keep every episode free: buymeacoffee.com/fexingo
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