DOI: 10.3724/SP.J.1219.2013.00778

Information and Control (信息与控制) 2013/42:6 PP.778-784

Planting Decision-making of Tomato for Balanced Supply Using SUMT

To solve the imbalanced tomatoes supply in the season of processing tomato sauce, a nonlinear mathematical decision-theoretic model for tomato planting is presented, and a tomato planting strategy is proposed considering the effects of variables including tomato yields and harvesting time delay by using SUMT (sequential unconstrained minimization technique). The results show that accurately quantitative planting decisions in large-scale planting areas can be achieved via SUMT. In addition, it is shown that harvesting time delay is one of key factors affecting the balanced tomatoes supply, and for given different harvest time delay, the best tomato planting decisions can then be obtained using SUMT. A mathematical optimization model is also built, which explores the application of SUMT in the planting plan of tomatoes and is instructive for both tomatoes planting decisions and balanced tomatoes supply.

Key words:tomato,planting,decision-making,balanced supply,sequential unconstrained minimization technique (SUMT),optimization

ReleaseDate:2015-04-15 18:52:47

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