{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8413cd210cb64dd1837e6442341f00a6\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/8413cd210cb64dd1837e6442341f00a6-529c76298181ac00.gif","duration":296.214,"title":"Revolutionizing Crop Disease Detection with Apollo AI","description":"Hi there, I'm Rusan from Apollo AI, and in this video, I explain our project aimed at addressing crop diseases that cost the global economy around $220 billion each year. Traditional lab analyses take about three days, which is too slow for fast-developing diseases, so we're working to speed up this process with our plant diagnostics model. I demonstrate our AI's ability to detect diseases in plants with a confidence rate of 100% using a dataset of over 70,000 images. We're currently in the MVP stage and plan to expand our capabilities to include thermal detection in the future. I encourage you to watch the demo and share your thoughts on our progress."}