No longer do you have to rely on costly, time-intensive methods of collecting aerial imagery such as satellite or manned aircraft. Drones and the NDVI plant health algorithm enable you to assess plant health, spot variability, and identify crop trends within minutes. Watch this webinar to hear from ag experts from DroneDeploy and SLANTRANGE as we discuss how you can leverage near infrared and multi-spectral imagery on the farm this season.Â
Tune in today to learn:
How to get started with true multi-spectral imagery on the farm
How to use drone imagery to compare data over time and quantify crop trendsÂ
How to use DroneDeploy to create field maps using agriculture sensors from SLANTRANGE
How to perform more accurate, scientific analysis of plant healthÂ
Kyle Miller is part of DroneDeploy's agriculture business development team. Kyle grew up on a corn and soybean farm in Iowa, and has degrees in computer science and agribusiness. He has been researching remote sensing technology for more than 10 years, and creating agriculture drone maps since 2013. Since building his first UAV 7 years ago, Kyle has used historical yield and drone data to understand crop health and create prescription maps to manage his farm.
Matthew Barre
Director of Strategic Development, SLANTRANGE
Matthew Barre joined SLANTRANGE in 2016 and now oversees all sales, marketing, business development, and strategy for the company. Prior to joining SLANTRANGE, he was the Business Development manager for the Commercial Business Unit at Daylight Solutions, providing tunable laser-based instruments for medical, life sciences, and industrial markets. And prior to joining Daylight Solutions, he held several program management and business development positions at General Atomics, producing imaging and optical sensor systems for unmanned aircraft. Mr. Barre holds a B.S. in Mechanical Engineering from the University of California at Santa Barbara and a M.S. in Mechanical Engineering from Stanford University.
Quantifying Crop Trends with Accurate NDVI Mapping
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