{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/adc27df4cece41a7b0d6fb40b1b15859\" frameborder=\"0\" width=\"3416\" height=\"2562\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":2562,"width":3416,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":2562,"thumbnail_width":3416,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/adc27df4cece41a7b0d6fb40b1b15859-bc6deec789173c8d.gif","duration":59.433333,"title":"Satellite NDVI Insights for Farm Health","description":"This Loom demonstrates how Cat uses satellite imagery to help farmers detect crop stress earlier. It notes that only 27% of U.S. farms use tools to catch these problems and that such issues cost farmers $290 billion worldwide per year. Users can map their farm areas, then click analyze to pull the latest cloud-free Sentinel-2 data. The tool overlays NDVI to calculate plant stress and includes weather analysis, flagging red areas for review."}