Research And Application On Decision Suspport System Of Farming Plan

As the development of digital of enterprise management, It is significant to im-prove decision-making capacity by using the obtained data ,information and re-sources . Decision Support System was being created, which help managers and lead-ers of enterprise to make a plan scientific and analysis the trend through analyzing the obtained data and integrating data and valuable experiences .In this paper,analysis the material supply imbalance and extract controllable fac-tors during the production period of the tomato sauce under the background of manu-facturer and plant of tomato sauce of some factory in XinJiang,and also study the algorithm of Planting plan decision support system.The actual problem is transformed into fuzzy multi-objective decision making problem of group decision making by us-ing fuzzy theory. Plan for planting tomatoes with regional growth model,applying genetic algorithm to parameter estimation and model validation.At last, a planting plan decision support system was given to solve the problem of balance between planting and manufacturering.The results indicate that the errors of Model predictions are far smaller than the artificial method errors, so it is inductive and significant to balance the planting area, species, time and harvesting capacity and demand for raw materials.