The objective of this paper is to develop a dynamic model that may be useful in the analysis of investment in long term tree crop agriculture. The model is based on linear programming as modified by fixed assets theory. The starting point is the Heady-Loftsgard dynamic linear programming model restated in a stochastic form and imbedded in a decision theoretic construct to give a stochastic mixed integer programming model. The paper goes into a discussion of problems associated with agricultural data collection in Nigeria-on the conviction that specific use of any model can only come after the data problem has been reasonably solved.Crop Production/Industries,
This paper outlines a dynamic linear programming (DLP) model for planning a diversified agri-industr...
This article presents a multiperiod mixed integer programming (MMIP) model of optimal machinery deci...
This paper presents a System Dynamics model to analyze the consequences of investments in agricultur...
The objective of this paper is to develop a dynamic model that may be useful in the analysis of inve...
In this paper a dynamic linear programming model for large scale farm development is presented. Spec...
This dissertation investigates farm firm growth using a multiperiod investment portfolio problem tha...
Agricultural production decisions are rooted in the balance of managing finite resources levels with...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.The purpose of this research ...
This paper examines farmland investment decisions using a stochastic dynamic programming framework. ...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
The most common application of linear programming in agricultural situations has been to the problem...
A stochastic dynamic programming model is used to compare the farmland investment impact of a fully ...
This work proposes an exercise-dependent real options model for the valuation and optimal harvest ti...
The attractiveness of agricultural land available in developing countries has markedly increased in ...
This paper outlines a dynamic linear programming (DLP) model for planning a diversified agri-industr...
This article presents a multiperiod mixed integer programming (MMIP) model of optimal machinery deci...
This paper presents a System Dynamics model to analyze the consequences of investments in agricultur...
The objective of this paper is to develop a dynamic model that may be useful in the analysis of inve...
In this paper a dynamic linear programming model for large scale farm development is presented. Spec...
This dissertation investigates farm firm growth using a multiperiod investment portfolio problem tha...
Agricultural production decisions are rooted in the balance of managing finite resources levels with...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.The purpose of this research ...
This paper examines farmland investment decisions using a stochastic dynamic programming framework. ...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
The most common application of linear programming in agricultural situations has been to the problem...
A stochastic dynamic programming model is used to compare the farmland investment impact of a fully ...
This work proposes an exercise-dependent real options model for the valuation and optimal harvest ti...
The attractiveness of agricultural land available in developing countries has markedly increased in ...
This paper outlines a dynamic linear programming (DLP) model for planning a diversified agri-industr...
This article presents a multiperiod mixed integer programming (MMIP) model of optimal machinery deci...
This paper presents a System Dynamics model to analyze the consequences of investments in agricultur...