@article{Li:252824,
      recid = {252824},
      author = {Li, Xiaofei and Coble, Keith H.},
      title = {A Spatial Econometric Analysis of Within-field Crop Yield  Variability Using Yield Monitor Data from a Mississippi  Farm},
      address = {2017},
      number = {1377-2016-109882},
      pages = {2},
      year = {2017},
      abstract = {It is widely observed that the crop yields vary  significantly within the field, primarily because of the  intra-field variations in soil, landscape, water, and  nutrient conditions.  That variability forms the foundation  for site-specific management in precision agriculture.   However, thus far the studies about the within-field yield  variability are mostly based on one or several sample  fields, while the variability distribution for a real world  farm or a larger region have received less investigations.   In addition, due to the small number of sample fields, the  determining factors of yield variability have not been  fully examined.  This study fill this research gap by  collecting and analyzing high resolution yield monitor data  of over a hundred fields from a large size farm in the  Mississippi Delta.  It quantitatively describes the extent  of the within-field yield variability over a large scale  area, and empirically examines the relationship between the  yield variability and factors such as soil types,  landscapes, weather conditions, management inputs, etc.  A  spatial econometric model is utilized to account for other  unobserved but spatially correlated yield-impacting soil  properties.  This study contributes to exploring the method  of analyzing GIS data from farming and turning the data  into site-specific management decisions.},
      url = {http://ageconsearch.umn.edu/record/252824},
      doi = {https://doi.org/10.22004/ag.econ.252824},
}