<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Urban Forestry on Formize AI Blog</title><link>https://blog.formize.ai/tags/urban-forestry/</link><description>Recent content in Urban Forestry on Formize AI Blog</description><generator>Hugo</generator><language>en</language><atom:link href="https://blog.formize.ai/tags/urban-forestry/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Form Builder Powers Real Time Citizen Science Tree Identification</title><link>https://blog.formize.ai/ai-form-builder-powers-real-time-tree-identification/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://blog.formize.ai/ai-form-builder-powers-real-time-tree-identification/</guid><description>&lt;h1 id="ai-form-builder-powers-real-time-citizen-science-tree-identification">AI Form Builder Powers Real Time Citizen Science Tree Identification&lt;/h1>
&lt;p>Urban forests are the lungs of our cities, delivering shade, cleaner air, storm‑water mitigation, and a habitat corridor for wildlife. Yet, municipal forestry departments often struggle to keep an up‑to‑date inventory of every tree, especially in sprawling metropolitan areas where resources are limited. Traditional surveys rely on field crews manually recording species, DBH (diameter at breast height), and health status—processes that are time‑consuming, error‑prone, and expensive.&lt;/p></description></item></channel></rss>