This paper presents a PC-based crop yield simulation and risk analysis model for a single farm, with the weather as the stochastic component. The ERM allows the calculation of the distribution of the farm net returns for a specific crop-rotation plan. Compared to other risk analysis models, the ERM does not ask the user to supply recorded farm data related to the past nor does it employ a specific utility function. In the ERM, the farm-specific context is included in having the farmer specify the minimum, maximum and average crop yield for four out of 17 analysed crops. The application of the ERM to an arable farm is demonstrate
Abstract: This paper presents an approach to predicting the impact of future agricultural policies, ...
Farm bioeconomic model th a desirable to manage a farm so that it achieves the maximum possible prof...
Weather-related risks can substantially affect the crop volume depending on time and intensity of ag...
Many studies suggest that farmers frequently show risk averse attitudes, and choose the “riskminimiz...
<div><p>In agricultural production, land-use decisions are components of economic planning that resu...
In agricultural production, land-use decisions are components of economic planning that result in th...
At the plot level, crop simulation models such as STICS have the potential to evaluate risk associat...
halle.de) Copyright 2000 by Oliver Musshoff and Norbert Hirschauer. All rights reserved. Readers may...
This article has been made according to my dissertation in which I present some opportunity of risk ...
The use of alternative probability density functions to specify risk in farm programming models is e...
Abstract — Agricultural production relies to a great ex-tent on biological processes in natural envi...
The goal of this article is to give some guidelines when modeling farmers’ rotation choicesthrough o...
Climate-induced uncertainty in crop yields is introduced in the Norwegian sector model Jordmod. The ...
A risk sensitive model for allocation of crops is considered in this work. The constructed model was...
Generally, agricultural production involves several challenges. In the drylands, it is further compl...
Abstract: This paper presents an approach to predicting the impact of future agricultural policies, ...
Farm bioeconomic model th a desirable to manage a farm so that it achieves the maximum possible prof...
Weather-related risks can substantially affect the crop volume depending on time and intensity of ag...
Many studies suggest that farmers frequently show risk averse attitudes, and choose the “riskminimiz...
<div><p>In agricultural production, land-use decisions are components of economic planning that resu...
In agricultural production, land-use decisions are components of economic planning that result in th...
At the plot level, crop simulation models such as STICS have the potential to evaluate risk associat...
halle.de) Copyright 2000 by Oliver Musshoff and Norbert Hirschauer. All rights reserved. Readers may...
This article has been made according to my dissertation in which I present some opportunity of risk ...
The use of alternative probability density functions to specify risk in farm programming models is e...
Abstract — Agricultural production relies to a great ex-tent on biological processes in natural envi...
The goal of this article is to give some guidelines when modeling farmers’ rotation choicesthrough o...
Climate-induced uncertainty in crop yields is introduced in the Norwegian sector model Jordmod. The ...
A risk sensitive model for allocation of crops is considered in this work. The constructed model was...
Generally, agricultural production involves several challenges. In the drylands, it is further compl...
Abstract: This paper presents an approach to predicting the impact of future agricultural policies, ...
Farm bioeconomic model th a desirable to manage a farm so that it achieves the maximum possible prof...
Weather-related risks can substantially affect the crop volume depending on time and intensity of ag...