January 2022 - 39

Figure 3. Rotting tubers from the wettest areas of both farms.
are better than support vector machine
for predicting both in-season N status
and end-of-season yield for potatoes; 2)
petiole nitrate-N can be better predicted
using NDVI and machine learning
models compared to total N in leaves or
vines. We will validate the models and
expand this work using more years of
data on more potato varieties.
The author would like to thank the
Wisconsin Potato and Vegetable Growers
Association, the Wisconsin Department
of Agriculture, Trade and Consumer
Protection, the Wisconsin Fertilizer
Research Council, and the University of
Wisconsin-Madison College of Agricultural
and Life Sciences for funding our research.
- Yi Wang is an assistant professor
in the University of Wisconsin-Madison's
Department of Horticulture. She is a
former winner of Spudman's Emerging
Leader Award.
Spudman * January 2022
37

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