<?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/7e1af4a50aac4602988fc80a9e8eeef0&quot; frameborder=&quot;0&quot; width=&quot;1660&quot; height=&quot;1245&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1245</height><width>1660</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1245</thumbnail_height><thumbnail_width>1660</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7e1af4a50aac4602988fc80a9e8eeef0-d864d8dc0e6ec36b.gif</thumbnail_url><duration>164.738</duration><title>Optimizing Drone Pesticide Use with AI</title><description>This Loom demonstrates FieldLoop’s platform for using AI to plan pesticide use and drone spraying. Users select farm regions and run analysis to calculate needed pesticides based on vegetation and other satellite-derived bands like vegetation, leaf health, and water. It then generates optimized drone routes that account for drone origins, tank capacity, battery limits, and carrying only one pesticide type per drone. The example claims a 91% pesticide use cut and averted 2.3% yield loss versus spraying the entire plot with one single type, with additional support to source pesticides via Channel 3 if supplies are low.</description></oembed>