Improving an Active‐Optical Reflectance Sensor Algorithm Using Soil and Weather Information

2541 Nitrogen fertilizer recommendations for corn generated by AORS algorithms have proven to be inaccurate across a broad geographical region (Bean et al., 2018). Accounting for site-specific spatial and temporal variability may enhance AORS algorithm performance. Weather factors such as precipitation and temperature greatly influence crop N response and growth directly as well as affect soil conditions (Tremblay and Bélec, 2006), which ultimately impact plant available N supply and yield. Many evaluations have demonstrated how corn yield as well as within-field yield variability fluctuate in response to N management and rainfall (Teigen and Thompson, 1995; Tremblay, 2004; Kyveryga et al., 2007; Shanahan et al., 2008). Corn generally responds more to applied N fertilizer during years of above-average rainfall than years of below-average rainfall (Yamoah et al., 1998; Tremblay et al., 2012). Additionally, across North America N fertilizer response is most affected by precipitation during June and July and by temperatures during July and August (Jeutong et al., 2000). Some have identified the distribution or evenness of rainfall as being significant in describing responsiveness to N fertilizer (Shaw, 1964; Reeves et al., 1993; Tremblay et al., 2012). As an example, increased responsiveness to N fertilizer observed at North American sites was attributed to earlyand frequent rainfall events resulting in high soil moisture early in the growing season that promoted N loss through denitrification and Improving an Active-Optical Reflectance Sensor Algorithm Using Soil and Weather Information

[1]  D. W. Reeves,et al.  Timing nitrogen applications for corn in a winter legume conservation-tillage system , 1993 .

[2]  J. Sawyer,et al.  Factors Affecting Active Canopy Sensor Performance and Reflectance Measurements , 2013 .

[3]  D. Sylvia.  Principles and Applications of Soil Microbiology , 1997 .

[4]  Walter C. Bausch,et al.  Strategies to evaluate goodness of reference strips for in-season, field scale, irrigated corn nitrogen sufficiency , 2011, Precision Agriculture.

[5]  A. Zhu,et al.  Updating Conventional Soil Maps through Digital Soil Mapping , 2011 .

[6]  Steven R. Silva,et al.  Movement of nitrate fertilizer to glacial till and runoff from a claypan soil , 1996 .

[7]  Earl D. Vories,et al.  Corn response to nitrogen is influenced by soil texture and weather , 2012 .

[8]  Peter M. Kyveryga,et al.  Alternative benchmarks for economically optimal rates of nitrogen fertilization for corn , 2007 .

[10]  J. Schepers,et al.  Responsive in-season nitrogen management for cereals , 2008 .

[11]  W. Rawls,et al.  Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions , 2006 .

[12]  J. Hanway.  Corn Growth and Composition in Relation to Soil Fertility: II. Uptake of N, P, and K and Their Distribution in Different Plant Parts during the Growing Season1 , 1962 .

[13]  James S. Schepers,et al.  Use of a virtual-reference concept to interpret active crop canopy sensor data , 2013, Precision Agriculture.

[14]  Hangsheng Lin,et al.  Hydropedological processes and their implications for nitrogen availability to corn , 2009 .

[15]  Milt G. Thomas,et al.  Weather and Yield, 1950-94: Relationships, Distributions, and Data , 1995 .

[16]  P. Motavalli,et al.  Soil Waterlogging and Nitrogen Fertilizer Management Effects on Corn and Soybean Yields , 2017 .

[17]  N. Kitchen,et al.  Topsoil Thickness Effects on Corn, Soybean, and Switchgrass Production on Claypan Soils , 2017 .

[18]  David W. Franzen,et al.  Algorithms for In-Season Nutrient Management in Cereals , 2016 .

[19]  K. Eskridge,et al.  Comparison of bioclimatic indices for prediction of maize yields , 2000 .

[20]  Lawrence H. Shaw.  The Effect of Weather on Agricultural Output: A Look at Methodology , 1964 .

[21]  Kenneth A. Sudduth,et al.  Sensor‐Based Nitrogen Applications Out‐Performed Producer‐Chosen Rates for Corn in On‐Farm Demonstrations , 2011 .

[22]  E. V. Lukina,et al.  Improving Nitrogen Use Efficiency in Cereal Grain Production with Optical Sensing and Variable Rate Application , 2002 .

[23]  Gary W. Petersen,et al.  Soil survey mapping unit accuracy in forested field plots in Northern Pennsylvania , 2003 .

[24]  D. W. Franzen,et al.  Active‐Optical Reflectance Sensing Corn Algorithms Evaluated over the United States Midwest Corn Belt , 2018, Agronomy Journal.

[25]  David W. Franzen,et al.  A Public–Industry Partnership for Enhancing Corn Nitrogen Research and Datasets: Project Description, Methodology, and Outcomes , 2017 .

[26]  R Wiese,et al.  Managing farming systems for nitrate control: a research review from management systems evaluation areas. , 2001, Journal of environmental quality.

[27]  A. Kravchenko,et al.  Correlation of Corn and Soybean Grain Yield with Topography and Soil Properties , 2000 .

[28]  J. Six,et al.  Does the combined application of organic and mineral nutrient sources influence maize productivity? A meta-analysis , 2011, Plant and Soil.

[29]  G. E. Varvel,et al.  Weather and Management Impact on Crop Yield Variability in Rotations , 1998 .

[30]  D. Bouldin,et al.  Spatial and temporal processes affecting nitrogen availability at the landscape scale , 2001 .

[31]  D. W. Nelson,et al.  Total Carbon, Organic Carbon, and Organic Matter , 1983, SSSA Book Series.

[32]  W. Cox,et al.  Spatial Analysis of Maize Response to Nitrogen Fertilizer in Central New York , 2004, Precision Agriculture.

[33]  Kenneth A. Sudduth,et al.  Field-scale variability in optimal nitrogen fertilizer rate for corn , 2005 .

[34]  Roger Armstrong,et al.  Advances in precision agriculture in south-eastern Australia. III. Interactions between soil properties and water use help explain spatial variability of crop production in the Victorian Mallee. , 2009 .

[35]  Nicolas Tremblay,et al.  Guidelines for in-season nitrogen application for maize (Zea mays L.) based on soil and terrain properties , 2011 .

[36]  S. G. Pandalai,et al.  Determining nitrogen requirements from crops characteristics. Benefits and challenges. , 2004 .

[37]  D. Weindorf,et al.  Field‐Truthing of USDA‐Natural Resources Conservation Service Soil Survey Geographic Data on Hunewell Ranch, Erath County, Texas , 2005 .

[38]  Nicolas Tremblay,et al.  Adapting Nitrogen Fertilization to Unpredictable Seasonal Conditions with the Least Impact on the Environment , 2006 .

[39]  Earl D. Vories,et al.  Ground‐Based Canopy Reflectance Sensing for Variable‐Rate Nitrogen Corn Fertilization , 2010 .