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