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Samborski, S.M
Rains, G
Wang, Y
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Authors
Walsh, O.S
Samborski, S.M
Stępień, M
Gozdowski, D
Lamb, D.W
Gacek, E.S
Drzazga, T
Walsh, O.S
Samborski, S.M
Gozdowski, D
Stępień, M
Leszczyńska, E
Wang, Y
Balmos, A
Krogmeier, J
Buckmaster, D
Krogmeier, J
Buckmaster, D
Ault, A
Wang, Y
Zhang, Y
Layton, A
Noel, S
Balmos, A
Byers, C
Virk, S
Meena, R.K
Rains, G
Topics
Precision Nutrient Management
Big Data, Data Mining and Deep Learning
Profitability and Success Stories in Precision Agriculture
Drone Spraying
Type
Poster
Oral
Year
2016
2018
2024
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1. Use Cases for Real Time Data in Agriculture

Agricultural data of many types (yield, weather, soil moisture, field operations, topography, etc.) comes in varied geospatial aggregation levels and time increments. For much of this data, consumption and utilization is not time sensitive. For other data elements, time is of the essence. We hypothesize that better quality data (for those later analyses) will also follow from real-time presentation and application of data for it is during the time that data is being collected that errors can be... J. Krogmeier, D. Buckmaster, A. Ault, Y. Wang, Y. Zhang, A. Layton, S. Noel, A. Balmos