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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Nithin Raghunathan, research scientist, and Chariloas Mousoulis, senior research scientist, from Purdue University recently presented as part of the Data Driven Agriculture webinar series. Their presentation featured an overview of the sensors and the IoT networks being used in ag and manufacturing deployments in the 10 counties around Purdue that make up the Wabash Heartland…
READ MOREDuring the Spring 2021 semester, Purdue Agriculture hosted a weekly webinar series featuring experts in data science and digital agriculture at Purdue University. Each Thursday from February through May, the Data Driven Agriculture webinars explored ways digital agriculture and data science can impact agriculture today and into the future. “Building on the momentum of last…
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