A model of crop planning under uncertainty in agricultural management

Takeshi Itoh, Hiroaki Ishii, Teruaki Nanseki

Research output: Contribution to journalArticlepeer-review

76 Citations (Scopus)


The crop planning problem is often formulated as a linear programming problem. But, in many actual cases, the profit coefficients for agricultural products are not certain values because of the influence of the future weather, so a linear programming model with constant coefficients does not describe the environment of decision making properly. Therefore, we propose a model of crop planning with uncertain (stochastic) values which may support decision making of agricultural farms. In this paper, we treat such uncertain elements as the values with the fuzziness and randomness.

Original languageEnglish
Pages (from-to)555-558
Number of pages4
JournalInternational Journal of Production Economics
Publication statusPublished - 2003 Jan 11
Externally publishedYes


  • Crop planning
  • Discrete random variable
  • Fuzzy constraint
  • Linear programming problem

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


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