Phenix Tutorials

Learn how to extract valuable metrics of plant growth & health from images captured with inexpensive camera drones. In this session, Anthony Hearst shares tips and examples for automated stand counts, including: • Selecting a drone, camera, & processing hardware • Flight planning • Image stitching • Plot gridding • Data extraction & visualization • Demos from corn & soybean Who is this webinar for? – Agronomists using drones for outdoor small plot research trials, including those at: ► Contract Research Organizations ► University research groups, government agencies, or seed companies conducting Plant Breeding/Variety Trials/Seed Certification ► Any company trialing ag inputs, including: fertilizer, microbials, crop protection products Find more at https://www.plotphenix.com/

This webinar showcases key features of Plot Phenix 2.2 including fast offline stitching with less image overlap and powerful tools for automated batch processing, gridding, and analysis of RGB & multispectral imagery at the plot level - all without needing programming expertise, internet, or high-performance computing. See the full AG2PI webinar here: https://youtu.be/AhGeRh7ShGw

Easily analyze crop development to gain insights on seedling vigor, canopy filling, crop development, and onset of maturity using low-cost drones without the need for ground control targets or enhanced GPS. Find more at https://www.plotphenix.com/

Tips for field trial planning in the digital era, including data acquisition, file/folder naming, and storage for optimizing results. Examples of integration and analyses presented using Genovix's database platform. Find more at https://www.plotphenix.com/

Example of doing corn stand counts for small plot research trials at the V2 and V3-V4 growth stages using Plot Phenix 2.1

Examples of some of the 3D models we've been able to generate with Plot Phenix on a laptop and RGB imagery from an off-the-shelf-drone (no ground control points, RTK GPS, or LIDAR used). We're very excited to see this being used more in agronomic research & plant breeding.