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FERTILIZER QUALITY CONTROL OF A BULK-BLENDING PLANT USING INTELLIGENT SYSTEMS |
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| รหัสดีโอไอ | |
| Creator | 1. Wichian Srichaipanya 2. Pramin Artrit 3. Anucha Sangrung |
| Title | FERTILIZER QUALITY CONTROL OF A BULK-BLENDING PLANT USING INTELLIGENT SYSTEMS |
| Publisher | Suaranaree University of Technology |
| Publication Year | 2557 |
| Journal Title | Suranaree Journal of Science and Technology |
| Journal Vol. | 21 |
| Journal No. | 3 |
| Page no. | 137-146 |
| Keyword | Neural networks, fuzzy logic, fertilizer, process control |
| ISSN | 0858849X |
| Abstract | This research aims to improve the quality of fertilizer which is produced as an important material for agriculture. Errors and loss of production often occur because of human judgment in mixing 4 types of raw materials including urea, di-ammonium phosphate, muriate of potash, and filler. In order to control the ratio of raw materials, feeding systems have to be adjusted by increasing or decreasing the conveyer speed. Therefore, intelligent systems have been developed as a supporting tool to decide how to set the parameters in the fertilizer production process. This system is built by employing artificial neural networks and fuzzy logic controllers. The results show that the overall errors of fertilizer (N-P-K) 16-16-8 and 21-7-18 have been improved by 3.22% and 10.12%, respectively. |
