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Nanjing, China

Sun L.,Jiangsu Academy of Agricultural Sciences | Zhu Z.S.,Naval Command College
Applied Mechanics and Materials | Year: 2014

This study investigated a two-round linear programming method for optimizing online assignment of harvesting jobs to trans-regional combines. A two-round biding process was constructed to provide the competitive quotations for the two-round linear programming method. There was a 25 percent limitation of price difference in the second bid versus the first one. It was found that using the two- round linear programming method significantly decreased the cost to hire the trans-regional combines for harvesting jobs by 4% compared with one-round biding process. This indicates that there is a possibility of developing a better online optimal algorithm based on a multi-round biding process and suggests that it is possible to determine the optimal change limitation and round number. © (2014) Trans Tech Publications, Switzerland. Source


Sun L.,Jiangsu Academy of Agricultural Sciences | Zhu Z.S.,Naval Command College
Applied Mechanics and Materials | Year: 2014

The aim of this study was to investigate the use of a model to determine harvest area of Eichhornia crassipes in environmental phytoremediation. A logistic model was constructed to eatimate the area of Eichhornia crassipes and tested in Eichhornia crassipes samples. The area of Eichhornia crassipes was measured nine times in experiment period using GPS and satellite remote sensing images. The measurements were shown to lead to a determination of the parameters of accurate logistic model with an overall Goodness of Fit Index of 0.9753. This indicates that there is a possibility of obtaining maximum harvest area of Eichhornia crassipes from the logistic model and suggests that it is possible to implement environmental phytoremediation with the continuous harvest at the maximum sustainable area of Eichhornia crassipes. © (2014) Trans Tech Publications, Switzerland. Source


Sun L.,Jiangsu Academy of Agricultural Sciences | Zhu Z.S.,Naval Command College
Applied Mechanics and Materials | Year: 2014

The aim of this study was to investigate the use of condition linear programming model to optimize development and ecological restoration of coastal mud flat, in particular maximizing ecosystem service values, minimizing ecological restoration cost and computing return on investment of ecological restoration of coastal mud flat. Such a linear programming model for Dafeng City, Jiangsu Province, China was constructed to represent all ecosystem and ecological restoration services and given the return on optimal investment of ecological restoration for the coastal mud flat. This indicates that there is a possibility of obtaining a decision support system from the linear programming model and suggests that it is possible to improve decisions of restoration programs of the coastal mud flat by the return on investment of ecological restoration in which multiple service benefits can be maximized and ecological restoration cost can be minimized simultaneously. © (2014) Trans Tech Publications, Switzerland. Source


Sun L.,Jiangsu Academy of Agricultural Sciences | Zhu Z.S.,Naval Command College
Applied Mechanics and Materials | Year: 2014

A model to describe an effective statistic index of crop rotation level is particularly appealing for management of large-area crop rotation, because the statistic index of crop rotation level is easy to provide fast and accurate information of large-area crop rotation. We experimentally realized such a statistic index of crop rotation level using a model based on data from satellite remote sensing images. The statistic index of crop rotation level describes the status of large-area crop rotation with a statistic period or frequency. Our analysis indicated that the statistic index of crop rotation level was mediated by processing the remote sensing images of rice and cotton. Taken together with the demonstrated computation of the statistic index of crop rotation level of XingHua City, Jiangsu Province, China, our results establish the application feasibility of the statistic index of crop rotation level in management of large-area crop rotation. © (2014) Trans Tech Publications, Switzerland. Source


Sun L.,Jiangsu Academy of Agricultural Sciences | Zhu Z.S.,Naval Command College
Applied Mechanics and Materials | Year: 2014

The aim of this study was to investigate the use of a remote-sensing model to compute a hybrid rotation period of multi-crop rotation in large area. The model was constructed to compute the hybrid rotation period of cotton-rice and cotton-others of 38 towns in XingHua City, Jiangsu Province, China. The rotation periods for cotton-rice and cotton-others were computed as 2.09 and 3.38 years using the data from satellite remote sensing images. The results were shown to lead to a hybrid rotation period of cotton-rice and cotton-others of 1.24 years. This indicates that there is a possibility of managing multi-crop rotation in large area from hybrid rotation periods and suggests that it is possible to measure crop growth status in large area with hybrid rotation periods to make management decision for crop diseases. © (2014) Trans Tech Publications, Switzerland. Source

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