Full Scholarship PhD in Computer Science

普渡哥 · 发表于 2013-1-7 10:02:19

DescriptionCropBase: Economic value prediction system for underutilised crops (I.D Code: CropB1-012)
Project Title:
Economic value prediction system for underutilised crops
Project Description:
This proposal is for the CropBase project call under the Knowledge systems priority with the economic and marketing potential theme. This research will focus on the issues of economic value prediction for underutilised crops. Predicting the characteristics of systems to support underutilised crop value chains is one of the main issues in crop production development and dominates the profitability of the crop market. In order to assess and optimise the economic value of underutilised crops, a hybrid data mining, case based reasoning and crop based modelling framework has been proposed. Despite the many existing projects for crop production study, there is a research gap between cash crops and underutilised crops. The goal of this research is to learn from the existing crop models by exploring and understanding the interactions between crops productions and marketing and then transferring this knowledge for underutilised crops. We can then provide an integrated model to assess the chances of economic success of underutilised crops, not from a biological or agricultural science point of view but from the point of view of the necessary supply chains and infrastructure needed to bring the crop successfully to market. Hence, resources can be concentrated on such kind of crops which have greater potential of economic success. All in all, this framework will be used to aid underutilised crop production, as well as strategy analysis in marketing improvement.
The successful candidate will have a strong background in computer science or economics, must have excellent programming skills and a sound knowledge of economic models. In addition to this, some knowledge of or interest in one or more of the following areas would be highly desirable: AI techniques; Data Mining; Knowledge-based System; Modelling and Agricultural Economics.
Level: PhD
Supervisor names and contact details:

Chen Zhi Yuan, School of Computer Science, UNMC (zhiyuan.chen@nottingham.edu.my)
Dino Isa, Department of Electrical and Electronic Engineering, UNMC (dino.isa@nottingham.edu.my)
Wyn Morgan, School of Economics, UoN (wyn.morgan@nottingham.ac.uk)

Further information:
Crops for the Future Research Centre (CFFRC) is pleased to announce its support for a wide range of scholarship opportunities for postgraduate projects (PhD and MRes) registered at the University of Nottingham Malaysia Campus. Funded studentships will relate to the research themes and programmes of CFFRC.
Applicants should have a good first degree from an accredited institution in a relevant field. Students who do not speak English as a first language must also meet the relevant English language qualifications as determined by theSchool of Biosciences.
Applicants are encouraged to contact the first supervisor listed in each instance for further information about the scholarship, including application details and entry requirements.
Please quote I.D. code on all correspondence.

Posted on 20th December 2012

To applyContact the first supervisor.

[奖学金] Full Scholarship PhD in Computer Science

所属分类: GRE考试

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