Drone Data Provides Early Identification of Southern Rust in Corn #drone #droneday
Texas A&M researchers use drones and algorithms to predict southern rust outbreaks:
This study used UAS field-based high-throughput phenotyping to collect high-resolution aerial imagery of elite corn hybrids planted in the 2020 and 2021 growing seasons, with 13 UAS flights obtained from 2020 and 17 from 2021.
The team was able to extract vegetation indicators, such as color appearances, from UAS images throughout growth that were useful as predictors for southern rust scored in the field, as well as senescence as scored using UAS-acquired mosaic images.
Welcome to drone day on the Adafruit blog. Every Monday we deliver the latest news, products and more from the Unmanned Aerial Vehicles (UAV), quadcopter and drone communities. Drones can be used for video & photography (dronies), civil applications, policing, farming, firefighting, military and non-military security work, such as surveillance of pipelines. Previous posts can be found via the #drone tag and our drone / UAV categories.
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