@article{KhanChowdhury:205902,
      recid = {205902},
      author = {Khan Chowdhury, Nazea H. and Roberts, David C. and  DeSutter, Thomas and Clay, David E.},
      title = {Developing Decision Criteria for Soil Salinity Management  Options on Cropland: A Case Study in Southeast North  Dakota},
      address = {2015},
      number = {330-2016-13999},
      year = {2015},
      abstract = {Soil salinization is an important research topic in North  Dakota, and the issue may be growing in importance due to  changing cropping patterns throughout the Northern Great  Plains. Soil salinity is generally determined by measuring  the electrical conductivity (EC) of soils. This study is  based on EC measures recorded throughout 40 fields by a  Veris® sensor, and were subsequently mapped. Simulated  yields (based on EC), production costs, and expected  profits were used to determine which of eight crop  rotations maximize expected profit based on a given field’s  average EC, as well as the variance of EC within the field.  Principal components analysis was used to develop a single  measure of EC that incorporates information about both the  mean and variance of EC throughout a field. Results  illustrate that for very low field-level EC (low salinity)  the two most profitable rotations are corn-soy and  continuous corn, while for field-level EC above 4.5 the  most profitable rotation is wheat-barley. Preliminary  results are also presented to indicate how precision  agriculture technologies (mapping, row controlled planters,  and swath controlled sprayers) could increase profit for  each rotation by eliminating input expenditures in portions  of a field where a loss is expected.},
      url = {http://ageconsearch.umn.edu/record/205902},
      doi = {https://doi.org/10.22004/ag.econ.205902},
}