Jatropha Curcas Disease Identification With Extreme Learning Machine
Jatropha is a plant that has many functions, but this plant can be attacked by various diseases. Expert systems can be applied in identifying so that can help both farmers and extension workers to identify the disease. one of method that can be used is Extreme Learning Machine. Extreme Learning Mach...
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| פורמט: | EJournal Article |
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Institute of Advanced Engineering and Science,
2018-11-01.
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| גישה מקוונת: | Get fulltext |
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| LEADER | 01989 am a22003373u 4500 | ||
|---|---|---|---|
| 001 | ijeecs12414_9539 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Saragih, Triando Hamonangan |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Fajri, Diny Melsye Nurul |e author |
| 700 | 1 | 0 | |a Mahmudy, Wayan Firdaus |e author |
| 700 | 1 | 0 | |a Abadi, Abdul Latief |e author |
| 700 | 1 | 0 | |a Anggodo, Yusuf Priyo |e author |
| 245 | 0 | 0 | |a Jatropha Curcas Disease Identification With Extreme Learning Machine |
| 260 | |b Institute of Advanced Engineering and Science, |c 2018-11-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12414 | ||
| 520 | |a Jatropha is a plant that has many functions, but this plant can be attacked by various diseases. Expert systems can be applied in identifying so that can help both farmers and extension workers to identify the disease. one of method that can be used is Extreme Learning Machine. Extreme Learning Machine is a method of learning in Neural Network which has a one-time iteration concept in each process. In this study get a maximum accuracy of 66.67% with an average accuracy of 60.61%. This proves the identification using Extreme Learning Machine is better than the comparison method that has been done before. | ||
| 540 | |a Copyright (c) 2018 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |a Jatropha Curcas; Extreme Learning Network; Detection | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 2: November 2018; 883-888 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v12.i2 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12414/9539 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12414/9539 |z Get fulltext |