Sugar Beet Yield and Quality Prediction at Multiple Harvest Dates Using Active‐Optical Sensors

273 Sugar beet is an important source of sugar for human consumption, with 55% of U.S. sugar production coming from sugar beet, and 45% from sugarcane (Saccharum offi cinarum L.) (Bangsund et al., 2012; USDA, 2014). Yield prediction of crops early in the growing season, including sugar beet, is increasingly important for logistical and marketing eff orts of farmers, sugar processors and commodity brokers, as well as for use in precision agriculture (Parke, 2014). Yield prediction is used as a precision agriculture tool because it can be used to identify N defi ciency in crops if an N non-limiting area is present in the fi eld to serve as an active-optical sensor reference (Tubana et al., 2008; Lukina et al., 2001; Raun et al., 2008).

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