Processing Tomato Yield Prediction Model In Multi Constraint Conditions

Processing tomato is an advantageous industry in Xinjiang, the tomato productsplay an important role in regional economic development strategy. With Xinjiang`sprocessing tomato cultivation and production of large-scale industrialization advanceto make scientific planning and manage to breeding-planting-processing,optimization, plant production and variety of processed products on the amount of thebalance, The growth of tomatoes per plant process analysis and yield prediction is animportant foundation to achieve this goal.The growth-model of processing tomato development and dry matteraccumulation model is a powerful tool auxiliary crop cultivation and productionenvironments to optimize control to a processing tomato enterprises in Xinjiang as thebackground, assumptions that other factors as irrigation and fertilization under normalcircumstances, to the temperature and sunshine main influencing factors, theprocessing tomato plant growth and development process and material accumulationprocess analysis, to distill from the uncontrollable factors, the establishment ofprocessing tomato growth and development model, and dry matter accumulationmodel, forecast yield per plant. In addition, for the southern and northern Xinjiangregional differences, consider each factor, a more systematic comparative analysis ofthe processing tomato planting.The results show that the construction of processing tomato growth anddevelopment model has higher credibility between the predictive value and the actualvalue of yield per plant error of about2%, far less than the artificial estimate the valueof the error. Processing tomato cultivar selection, planting area of planning, selectionof planting time and date picking and so play a very good role in guiding, planningand planting varieties of tomato paste processing plant, supporting to meet differenttastes tomato sauce production.