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Paper Information

Journal:   JOURNAL OF AGRICULTURAL ENGINEERING RESEARCH   FALL 2006 , Volume 7 , Number 28; Page(s) 93 To 108.
 
Paper: 

DATA FUSION IN TILLAGE TOOLS DSS (DECISION SUPPORT SYSTEM)

 
 
Author(s):  SHARIF NASAB H., ALIMARDANI R.
 
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Abstract: 

Nowadays, using the technology and computer for making decision in specialized fields is one of the subjects which in the levels of industrial management and decisions has been very much noticed. In particular, the decisions which on the base of current specific conditions are required, such as making decision in the selection of primary tillage suitable equipment for a given condition of farm. Tillage consumes more energy than other agricultural operation, in this case, one mistake in optimum selection of tillage equipment, not only will waste the huge amount of energy, but also leads to serious impacts to soil, crop and other farm operation. The optimum selection of tillage quipment is affected by environmental and geographical condition factors and available facilities. In this study an attempt has been made to combine all of the important factors in making decision and to suggest a classified list of equipment that farmer can use, by using the data fusion theory (Ordered Weighted Averaging). Based on, the results obtained from software and experts's suggestions, it can be concluded that the software is compatible with scientific references by 99% confidence whereas experts's suggestions are compatible with scientific references only by 94% confidence.

 
Keyword(s): DATA FUSION THEORY, DECISION SUPPORT SYSTEMS, FUZY RULES, ORDERED WEIGHTED AVERAGING, TILLAGE EQUIPMENT
 
References: 
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