TY - GEN
T1 - Optimized fuzzy neural network for Jatropha Curcas plant disease identification
AU - Fajri, Diny Melsye Nurul
AU - Saragih, Triando Hamonangan
AU - Hamdianah, Andi
AU - Mahmudy, Wayan Firdaus
AU - Anggodo, Yusuf Priyo
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Jatropha curcas is an important commodity for farmers. The farmers must be aware of the disease caused by pest or virus for the existence and benefits of this plant. The main obstacle is the lack of farmers' knowledge about diseases and a system that utilize plant expert knowledge is needed. This paper proposes Fuzzy Neural Network (FNN) method to identify Jatropha Curcas Disease. To achieve higher accuracy, simulated annealing (SA) is employed to adjust the boundary of membership functions of the FNN. Computational experiments prove that the proposed method produces promising result and the SA is effective to improve the accuracy of the FNS.
AB - Jatropha curcas is an important commodity for farmers. The farmers must be aware of the disease caused by pest or virus for the existence and benefits of this plant. The main obstacle is the lack of farmers' knowledge about diseases and a system that utilize plant expert knowledge is needed. This paper proposes Fuzzy Neural Network (FNN) method to identify Jatropha Curcas Disease. To achieve higher accuracy, simulated annealing (SA) is employed to adjust the boundary of membership functions of the FNN. Computational experiments prove that the proposed method produces promising result and the SA is effective to improve the accuracy of the FNS.
KW - Fuzzy Neural Network
KW - Identification
KW - Jatropha Curcas
KW - Optimization
KW - Simulated Annealing
UR - https://www.scopus.com/pages/publications/85049379666
U2 - 10.1109/SIET.2017.8304152
DO - 10.1109/SIET.2017.8304152
M3 - Conference contribution
AN - SCOPUS:85049379666
T3 - Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
SP - 297
EP - 304
BT - Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
Y2 - 24 November 2017 through 25 November 2017
ER -