{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8c9b8b19ca70460aa6ccfcab351b2693\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/8c9b8b19ca70460aa6ccfcab351b2693-b25a4239545e669a.gif","duration":144.271,"title":"Predicting Equipment Failures for Farmers: A Game Changer! 🚜","description":"In this video, I introduce my predictive maintenance dashboard for Docter Technologies, designed to help farmers anticipate equipment failures, like the 100k soli scanner that often breaks down during harvest season. By analyzing sensor data such as battery levels and temperature, the system provides two weeks' notice before a potential failure, achieving a 75% recall rate for actual breakdowns. This means no more surprise breakdowns or crop losses, allowing farmers to plan maintenance effectively. I'm looking for opportunities to scale this solution to thousands of devices, as every farm deserves to know when their equipment needs attention. I invite you to try the live demo linked below and would love to discuss how this tool can fit into your team or region."}