Tag Archives: Decision Support System

A decision support system for the selection of maize (Zea mays L.) silage hybrids in the northwest of Portugal (Published)

Maize (Zea mays L.) silage is of major importance to milk production in the agricultural system of the Entre-Douro e Minho, a province in the northwest of Portugal. Farmers typically have a variety of maize hybrids to choose from according to cycle length and planting date. The general rule is to use longer cycles for earlier planting dates and vice-versa. These decisions (planting date and maize cycle length) and the particular year’s temperature regime will determine harvesting date. Since weather is unknown at planting date, there is the need to establish decision support rules based on historic weather data to help farmers optimise silage production. Silage production optimisation means a better matching between three variables – planting date, hybrid maize cycle length and harvesting date -, in order to produce more quantity of higher quality silage. Others variables that also need to be considered in this problem, are the available days to perform all crop operations and the field working capacity of the farm machines available to do it. We have used data from a 3-year experiment involving 5 planting dates and 6 length cycles (FAO 200 to 700) in order to establish decision support rules. Those decision rules were than translated and incorporated into a simple and friendly-use graphical manner (abacus) in order to support farm extension services of the Entre-Douro e Minho region.

Keywords: Decision Support System, Portugal, Zea mays L, in northwest, selection of maize, silage hybrids

Conflict Resolution for Jordan River Basin Dispute Considering Coalitions among Riparian States (Published)

This paper aims to establish a practical conflict resolution mechanism and applies it to solve the strategic long-term dispute for Jordan River Basin. The paper starts with a brief history of the Jordan River Basin dispute. The paper then presents a game theoretic approach based on the Graph Model technique for conflict resolution, to investigate the Jordan River Basin dispute, considering the complex socio-political aspects involved. The proposed g model of this paper first defines the courses of actions available to all the involved stakeholders along with their preferences among them. Accordingly, the model applies stability and sensitivity analyses  to propose an optimum resolution to the conflict and to examine the sensitivity of such resolution to the uncertainty in stakeholders’ preferences. In this study, three scenarios were investigated with different coalition possibilities among different countries, as follow: (i) Syria, Lebanon, Israel, and Jordan; (ii) Lebanon, Jordan, Israel, and Palestine; and (iii) Jordan, Israel, and Palestine. The results of the model suggest that the best resolution for all parties is through combined water and peace treaties. The results also indicate that a peace treaty between Israel and Palestine is the best resolution to the conflicts. The application of the Graph model in this paper shows its practicality and ability to provide each decision maker with a simulation environment to examine the moves and countermoves which considered during the negotiation among the different parties.

Keywords: Conflict Resolution, Decision Support System, Graph Model, Jordan River Basin., Multiple Criteria Decision Analysis, Water Disputes