<?xml version="1.0" encoding="UTF-8"?><item href="/news/2025/05/plant-height-estimation-in-soybean.php" dsn="news"><featured/><pubDate>05/23/2025</pubDate><title>KSU Alumnus Identifies the Most Effective Sensor for Plant Height Estimation in Soybean</title><author/><summary/><image><img src="" alt="Placeholder"/></image><caption/><description>Kentucky State University (KSU) alumnus, Lalit Pun Magar, is pioneering a new study in soybean. His research primarily focuses on integrating manual and high throughput aerial phenotyping to identify the most effective sensor, indices, and timing to study morphophysiological parameters and yield prediction in soybean. His research utilizes Unmanned Aerial Vehicles or drones (DJI Mavic 3M and DJI Matrice 300 RTK) mounted with advanc...</description></item>