How IoT Sensors Are Preventing Pest Infestations in Food Warehouses

In episode 57 of Internet of Things with Fexingo, Lucas and Luna explore how IoT sensor networks are transforming pest management in food storage facilities. They focus on a specific case: a major grain storage operator in the Midwest that deployed vibration sensors and temperature-humidity nodes across 200 silos. The system uses machine learning to detect rodent gnawing patterns and insect heat signatures weeks before visible infestation. Lucas explains how the sensors reduced pesticide use by 70 percent and cut grain losses from pests by 85 percent in the first year. The conversation covers the sensor technology, the data pipeline, and the economic return on investment — roughly $2 million saved annually on a $400,000 system. Luna asks about false positives, scalability for smaller warehouses, and whether the same approach could work for urban food banks. The episode also touches on how this fits into broader precision agriculture trends and regulatory pressure from the FDA to reduce chemical fumigants. #IoT #PestDetection #FoodWarehouses #GrainStorage #SensorNetworks #MachineLearning #PrecisionAgriculture #PestManagement #FumigationAlternatives #FoodSafety #FDA #Technology #IndustrialIoT #Sustainability #RodentDetection #InfestationPrevention #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo