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Yost, M
Gilson, A
Yang, M
Quirós, J.J
Li, K
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Authors
Maldaner, L
Canata, T
Molin, J
Passalaqua, B
Quirós, J.J
Conway, L
Yost, M
Kitchen, N
Sudduth, K
Myers, B
Bobryk, C.W
Yost, M
Kitchen, N
Skouby, D
Schumacher, L
Yost, M
Kitchen, N.R
Stewart, S
Kitcken, N
Yost, M
Conway, L
Martello, M
Quirós, J.J
Khot, L
Flint, E.A
Yost, M
Hopkins, B.G
Scholz, O
Uhrmann, F
Weule, M
Meyer, T
Gilson, A
Makarov, J
Hansen, J
Henties, T
Gilson, A
Meyer, L
Killer, A
Keil, F
Scholz, O
Kittemann, D
Noack, P
Pietrzyk, P
Paglia, C
Yang, M
Yang, M
Li, K
Yang, M
Yang, M
Topics
Engineering Technologies and Advances
Spatial Variability in Crop, Soil and Natural Resources
Agricultural Education
Site-Specific Nutrient, Lime and Seed Management
Decision Support Systems
In-Season Nitrogen Management
Robotics and Automation with Row and Horticultural Crops
Precision Horticulture
Type
Poster
Oral
Year
2016
2018
2022
2024
2025
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1. Field Potential Soil Variability Index to Identify Precision Agriculture Opportunity

Precision agriculture (PA) technologies used for identifying and managing within-field variability are not widely used despite decades of advancement. Technological innovations in agronomic tools, such as canopy reflectance or electrical conductivity sensors, have created opportunities to achieve a greater understanding of within-field variability. However, many are hesitant to adopt PA because uncertainty exists about field-specific performance or the potential return on investment. These concerns... C.W. Bobryk, M. Yost, N. Kitchen