A Water-saving Irrigation Decision-making Model for Greenhouse Tomatoes based on Genetic Optimization T-S Fuzzy Neural Network |
Chen, Zhili
(College of Information and Electrical Engineering, China Agricultural University)
Zhao, Chunjiang (National Engineering Research Center for Information Technology in Agriculture) Wu, Huarui (National Engineering Research Center for Information Technology in Agriculture) Miao, Yisheng (National Engineering Research Center for Information Technology in Agriculture) |
1 | Wang, F., Du, T., Qiu, R., et al., "Effects of deficit irrigation on yield and water use efficiency of tomato in solar greenhouse[J]," Transactions of the CSAE, vol. 26, no. 9, pp. 46-52, 2010. |
2 | Liu, M., Zhang, S., Liu, X., "Effects of different deficit irrigation periods on yield and fruit quality of tomato[J],"Transactions of the CSAE, vol. 21, no. S12, pp. 92-95, 2005. |
3 | Ji, R., Qi, L., Huo, Z., "Design of Fuzzy Control Algorithm for Precious Irrigation System in Greenhouse[J]," IFIP International Federation for Information Processing, vol. 370, pp. 278-283, 2012. |
4 | Zhang, W., Dang. J., Zhao. L, "Comparison of ET0 Estimated by Penman-Monteith and Modified Penman Methods[J]," Water Saving Irrigation, no. 12, pp. 54-59, 2010. |
5 | Giusti, E., Marsili-Libelli, S., "A Fuzzy Decision Support System for irrigation and water conservation in agriculture[J]," ENVIRON MODELL SOFTW, vol. 63, pp.73-86, 2015. DOI |
6 | Wang, G., Gandomi, A.H., Alavi, A.H., Deb, S., "A hybrid method based on krill herd and quantum-behaved particle swarm optimization[J]," Neural Computing and Applications, vol. 27, no.4, pp. 989-1006, 2016. DOI |
7 | Liu, H., Sun, J., Wang, C., Liu, Z., "Analysis of Water Requirement Characteristics and Influencing Factors of Greenhouse[J]," Water Saving Irrigation, no. 4, pp. 11-14, 2011. |
8 | Zhang, Z., Gao, L., Ren, H., Chen, Q., Wang, Q., Sui, X., "Research Progress on Modern Water-saving Technology for Protected Vegetable Crops[J]," CHINA VEGETABLES, vol. 18, pp. 21-25, 2012. |
9 | Kumar, P.S., Singh, Y., Nangare, D.D., Bhagat, K., Kumar, M., Taware, P.B., Kumari, A., Minhas, P.S., "Influence of growth stage specific water stress on the yield, physico-chemical quality and functional characteristics of tomato grown in shallow basaltic soils[J]," SCI HORTIC-AMSTERDAM, vol. 197, pp. 261-271, 2015. DOI |
10 | Zhang, R., Tao, J., "A Nonlinear Fuzzy Neural Network Modeling Approach Using an Improved Genetic Algorithm[J]," IEEE T IND ELECTRON, vol. 65, no. 7, pp. 5882-5892, 2018. DOI |
11 | Han, M., Sun, Y., Fan, Y., "An improved fuzzy neural network based on T-S model[J]," Expert Systems with Applications, vol. 34, no. 4, pp. 2905-2920, 2008. DOI |
12 | Wang, G., Gandomi, A.H., Alavi, A.H., Hao, G., "Hybrid krill herd algorithm with differential evolution for global numerical optimization[J]," Neural Computing and Applications, vol. 25, no. 2, pp. 297-308, 2014. DOI |
13 | Guo, L., Wang, G., Gandomi, A.H., Alavi, A.H., Duan, H., "A new improved krill herd algorithm for global numerical optimization[J]," NEUROCOMPUTING, vol. 138, pp. 392-402, 2014. DOI |
14 | Safavi, H.R., Rezaei, F., "Conjunctive use of surface and ground water using fuzzy neural network and genetic algorithm[J]", IJST, Transactions of Civil Engineering, vol. 39, no. C2, pp. 365-377, 2015. |
15 | Wang, G., Gandomi, A.H., Zhao, X., Chu, H.C.E., "Hybridizing harmony search algorithm with cuckoo search for global numerical optimization[J]," SOFT COMPUT, vol. 20, no. 1, pp. 273-285, 2016. DOI |
16 | Wang, G., Guo, L., Duan, H., Wang, H., "A New Improved Firefly Algorithm for Global Numerical Optimization[J]," Journal of Computational and Theoretical Nanoscience, vol. 11, no. 2, pp. 477-485, 2014. DOI |
17 | Shen, G., Li, J., Hu, X., Chen, X., "Evaluation and Prediction Model of Agricultural Drought Based on T-S Fuzzy Neural Network[J]," Natural Science Journal of Harbin Normal University, vol. 32, no. 6, pp. 34-37, 2016. |
18 | Tseng, K., Tsai, J.S., Lu, C., "Design of Delay-Dependent Exponential Estimator for T-S Fuzzy Neural Networks with Mixed Time-Varying Interval Delays Using Hybrid Taguchi-Genetic Algorithm[J]," NEURAL PROCESS LETT, vol. 36, no. 1, pp. 49-67, 2012. DOI |
19 | Malek, H., Ebadzadeh, M.M., Rahmati, M., "Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm[J]", APPLIED INTELLIGENCE, vol. 37, no. 2, pp. 280-289, 2012. DOI |
20 | Bai, J., "The application of neural network based on t-s model in the selection of water-saving irrigation technology[J]," Technical Supervision in Water Resources, vol. 24, no. 1, pp. 40-42, 2016. DOI |
21 | Huang, B., Gui, F., Zhang, X., "Study of the suitable water-saving technique model based on fuzzy neural network for Wannian County[J]," Procedia Engineering, vol. 15, pp. 4362-4366, 2011. DOI |
22 | Guan, H., Dai, Z., Zhao, A., He, J., "A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network[J]," PLOS ONE, vol. 13, no. 2, pp. 1-15, 2018. |
23 | Young, C., Liu, W., Chung, C., "Genetic algorithm and fuzzy neural networks combined with the hydrological modeling system for forecasting watershed runoff discharge[J]," Neural Computing and Applications, vol. 26, no. 7, pp. 1631-1643, 2015. DOI |
24 | Li, Y., Xue, X., Zhao, Q., et al., "Automatic measurement of greenhouse tomato evapotranspiration based on negative pressure irrigation system[J]," Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), vol. 33, no. 10, pp. 137-144, 2017. |
25 | Li, Y., Xu, F., Xue, X., et al., "Effects of Negative Pressure Fertigation on Tomato Water Use Efficiency in Solar Greenhouse[J]," Water Saving Irrigation, no. 12, pp. 42-45, 2016. |
26 | Sharifian, A., Ghadi, M.J., Ghavidel, S., Li, L., Zhang, J., "A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data[J]," RENEW ENERG, vol. 120, pp. 220-230, 2018. DOI |
27 | Wang, G., Gandomi, A.H., Alavi, A.H., Deb, S., "A multi-stage krill herd algorithm for global numerical optimization[J]," INT J ARTIF INTELL T, vol. 25, no. 2, pp. 1-17, 2016. |
28 | Singh, K.G., Kumar, S., Nangare, D.D., "Effect of blending fresh-saline water and discharge rate of drip on plant yield, water use efficiency (WUE) and quality of tomato in semi arid environment[J]," African Journal of Agricultural Research, vol. 8, no. 27, pp. 3639-3645, 2013. DOI |
29 | Jin, H., Song, X., Wang, M., Niu Y., Li, K., "A Fast Anti-jamming Decision Method Based on the Rule-Reduced Genetic Algorithm[J]," KSII T INTERNET INF, vol. 10, no. 9, pp. 4549-4567, 2016. |
30 | Wang, G., Gandomi, A.H., Yang, X., Alavi, A.H., "A new hybrid method based on krill herd and cuckoo search for global optimisation tasks[J]," Int J of Bio-Inspired Computation, vol. 8, no. 5, pp. 286-299, 2016. DOI |
31 | Wang, H., Zhang, M., et, al., "Greenhouse Cucumber Irrigation Prediction Model Based on BP Neural Network[J]," Jiangsu Agricultural Sciences, vol. 41, no. 11, pp.407-409, 2013. |
32 | Chen, Z., Song, N., Wang, J., "Water-saving irrigation management and decision support system[J]," Transactions of the CSAE, vol. 25, no. 13, pp. 1-6, 2009. |
33 | Li, C., Gao, L., Li, Y., "An Intelligent Irrigation System Based on Internet of things technology and Fuzzy Control[J]," Water Saving Irrigation, no. 12, pp. 83-86, 2013. |
34 | Qiao, J., Zhou, H., "Prediction of effluent total phosphorus based on self-organizing fuzzy neural network[J]," Control Theory & Applications, vol. 34, no. 2, pp. 224-232, 2017. |
35 | Chen, Y., Cheng, Q., Cheng, Y., Yu, H., Zhang, C., "Short-term Prediction System of Water Temperature in Pond Aquaculture Based on GA-BP Neural Network[J]," Transactions of the Chinese Society for Agricultural Machinery, vol. 48, no. 8, pp. 172-178, 2017. |
36 | Gong, X., Liu, H., Liu, D., Wang, W., Sun, J., "Fuzzy comprehensive evaluation on regulated deficit irrigation scheduling of tomato drip irrigated in solar greenhouse[J]," Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), vol. 33, no. 14, pp. 144-151, 2017. |
37 | Harmanto, Salokhe, V.M., Babel, M.S., Tantau, H.J., "Water requirement of drip irrigated tomatoes grown in greenhouse in tropical environment[J]," Agricultural Water Management, vol. 71, no. 3, pp. 225-242, 2005. DOI |