发明名称 METHOD OF PREDICTING CROP YIELD LOSS DUE TO N-DEFICIENCY
摘要 A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Pixel values from the aerial photograph, expressed relative to pixel values from well fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.
申请公布号 US2016042232(A1) 申请公布日期 2016.02.11
申请号 US201514886712 申请日期 2015.10.19
申请人 The Curators of the University of Missouri 发明人 Scharf Peter Clifton;Hubbard Victoria Cacnio
分类号 G06K9/00;G06Q10/04;G06Q50/02;G06T7/40;A01C21/00 主分类号 G06K9/00
代理机构 代理人
主权项 1. A method for determining a crop yield loss due to nitrogen deficiency in at least one or more crop fields based on an analysis of at least one or more remote sensing images, the method comprising: a. obtaining the one or more remote sensing images of the at least one or more crop fields; b. assigning spatial coordinates to the at least one or more remote sensing images, represented by pixels or polygons comprised of aggregated pixels, from the at least one or more remote sensing images; c. calculating a combination index value comprising at least two wavelengths at each pixel; d. selecting a reference index value from the combination index values; e. calculating a relative index value of each pixel in the at least one or more remote sensing images by dividing the combination index value by the reference index value; f. estimating a yield loss of each pixel from a function of the relative index values; and, g. constructing a yield loss map from a spatially referenced yield loss of each pixel; wherein the yield loss comprises a decrease in crop yield per acre of a crop.
地址 Columbia MO US