Using adaptive neuro-fuzzy inference system for classify date fruits
نویسندگان
چکیده
The date fruit, which is produced mostly in the hot arid regions of Southern Asia and North Africa, in large quantities, is marketed all over the world as an important crop. Date grading is an important process for producers and affects the fruit quality evaluation and export market. In this research Adaptive Network Fuzzy Inference System (ANFIS) was applied as a decision making technique to classify the Mozafati dates based on geometric parameters. Three date parameters including the length, width and thickness were measured for 1000 date fruits. These dates were graded by both a human expert and ANFIS. Grading results obtained from fuzzy system showed 93% general conformity with the experimental results.
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