DATA MANAGEMENT
As sensor data becomes more available and our ability to store and move data increases, our need to manage and extract insights from data increases.
We are turning data into insights – even unassisted action – through artificial intelligence, visualization, and virtual models of physical, biological, chemical and social phenomena. But collecting, moving, managing, visualizing, analyzing, and interpreting data from disparate systems has significant technical as well as social challenges.
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One of the challenges in fully utilizing data from cropping systems is integrating all of the assorted “layers” of data that should accompany yield data. Some of this is public (soil, topography, weather) and much is private (as applied maps, seed, chemical, fertilizer choices, costs,…
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The Purdue University Cooperative Extension Service UAV (Unmanned Aerial Vehicle, aka drones) Initiative started in 2017 with Specialists conducting field-level research and expanded in 2018 with funding support from Dr. Jason Henderson to acquire UAVs for Educators across the state. The initial group was comprised of 17 Educators and has since grown to over 20…
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