@article{Gali:117838,
      recid = {117838},
      author = {Gali, Jyothi and Brown, Colin G.},
      title = {Assisting decision-making in Queensland barley production  through chance constrained programming},
      journal = {Australian Journal of Agricultural and Resource Economics},
      address = {2000},
      number = {428-2016-27649},
      pages = {19},
      year = {2000},
      abstract = {A chance constrained programming model is developed to  assist Queensland barley growers make varietal and  agronomic decisions in the face of changing product demands  and volatile production conditions. Unsuitable or  overlooked in many risk programming applications, the  chance constrained programming approach nonetheless aptly  captures the single‐stage decision problem faced by barley  growers of whether to plant lower‐yielding but potentially  higher‐priced malting varieties, given a particular  expectation of meeting malting grade standards. Different  expectations greatly affect the optimal mix of malting and  feed barley activities. The analysis highlights the  suitability of chance constrained programming to this  specific class of farm decision problem.},
      url = {http://ageconsearch.umn.edu/record/117838},
      doi = {https://doi.org/10.22004/ag.econ.117838},
}