<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/adc27df4cece41a7b0d6fb40b1b15859&quot; frameborder=&quot;0&quot; width=&quot;3416&quot; height=&quot;2562&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2562</height><width>3416</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2562</thumbnail_height><thumbnail_width>3416</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/adc27df4cece41a7b0d6fb40b1b15859-bc6deec789173c8d.gif</thumbnail_url><duration>59.433333</duration><title>Satellite NDVI Insights for Farm Health</title><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.</description></oembed>