<?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/45fb4aeb20e94e518bb7debe64a12103&quot; frameborder=&quot;0&quot; width=&quot;1290&quot; height=&quot;967&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>967</height><width>1290</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>967</thumbnail_height><thumbnail_width>1290</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/45fb4aeb20e94e518bb7debe64a12103-24a4c0be53f87694.gif</thumbnail_url><duration>117.267</duration><title>Optimizing Crop Management with Satellite Technology 🌾</title><description>In this video, I discuss how FarmScout utilizes satellite change detection to help farmers prioritize their scouting efforts by identifying areas of crop stress. By analyzing Sentinel-2 satellite imagery, we can compute the NDVI and determine that the worst decline in vegetation health was 10%, with an average decline of 7%. We&apos;ve isolated stress zones, allowing us to focus on high-risk areas, such as zone A, which has a cost risk of $14,000. I encourage you to consider how this technology can optimize your farming operations and improve decision-making in the field.</description></oembed>