Cite

2. L. Jain, S. C. Tan, C.-P. Lim, Eds. An Introduction to Computational Intelligence Paradigms. - Computational Intelligence Paradigms: Innovative Applications. Germany, Springer-Verlag, 2008, 1-23. ISBN-9-7835-4079-4738.10.1007/978-3-540-79474-5_1Search in Google Scholar

3. Kandel, A. Fuzzy Expert Systems. Boca Raton, CRC Press, 1991, p. 19.Search in Google Scholar

4. Li u, K. F. R., J. H. La i. Decision-Support for Environmental Impact Assessment: A Hybrid Approach Using Fuzzy Logic and Fuzzy Analytic Network Process. - Journal of Expert Systems with Applications, Vol. 36, 2009, Issue 3, No 1, 5119-5136.10.1016/j.eswa.2008.06.045Search in Google Scholar

5. Huan g, Y., Y. La n, S. J. Th omson, A. Fang, W. C. Hoffmann, R. E. Lace y. Development of Soft Computing and Applications in Agricultural and Biological Engineering. - Journal of Computers and Electronics in Agriculture, Vol. 71, 2010, No 2, 107-127.10.1016/j.compag.2010.01.001Search in Google Scholar

6. Sile r, W., J. J. Buckle y. Fuzzy Expert Systems and Fuzzy Reasoning. USA, John Wiley & Sons, Inc., 2005. ISBN-9-7804-7138-8593.Search in Google Scholar

7. Reshmidevi, T. V., T. I. Eldh o, R. Jana. A GIS-Integrated Fuzzy Rule-Based Inference System for Land Suitability Evaluation in Agricultural Watersheds. - Journal of Agricultural Systems, Vol. 101, 2009, 101-109.10.1016/j.agsy.2009.04.001Search in Google Scholar

8. Schere r, P., K. Le hmann, O. Sc hmidt, B. Demire l. Application ofa Fuzzy Logic Control System for Continuous Anaerobic Digestion of Low Buffered, Acidic Energy Crops as Mono-Substrate. - Journal of Biotechnology and Bioengineering, Vol. 102, 2009, No 3, 736-748.10.1002/bit.2210818988261Search in Google Scholar

9. Male kmohammadi, B., M. Ramezani Mehria n, R. J. Hami d. Site Selection for Managed Aquifer Recharge Using Fuzzy Rules: Integrating Geographical Information System (GIS) Tools and Multi-Criteria Decision Making. - Hydrology Journal, 2012. DOI 10.1007/s10040-012-0869-8.10.1007/s10040-012-0869-8Search in Google Scholar

10. Ki a, P. J., A. Tabatabaee Fa r, M. Omid, R. Alimardani, L. Naderloo. Intelligent Control Based Fuzzy Logic for Automation of Greenhouse Irrigation System and Evaluation in Relation to Conventional Systems. - World Applied Sciences Journal, Vol. 6, 2009, No 1, 16-23.Search in Google Scholar

11. Papageorgiou, E. I., A. Markinos, T. Gempto s. Application of Fuzzy Cognitive Maps for Cotton Yield Management in Precision Farming. - Journal of Expert Systems with Applications, Vol. 36, 2009, 12399-12413.10.1016/j.eswa.2009.04.046Search in Google Scholar

12. Ferrar o, D. O. Fuzzy Knowledge-Based Model for Soil Condition Assessment in Argentinean Cropping Systems. - Journal of Environmental Modelling & Software, Vol. 24, 2009, 359-370.10.1016/j.envsoft.2008.07.006Search in Google Scholar

13. Sharma, D. K., R. K. Jana. Fuzzy Goal Programming Based Genetic Algorithm Approach to Nutrient Management for Rice Crop Planning. - International Journal of Production Economics, Vol. 121, 2009, 224-232.10.1016/j.ijpe.2009.05.009Search in Google Scholar

14. Omid, M., M. Lashgari, H. Mobl i, R. Al imardan i, S. Mohtaseb i, R. Hesamifard. Design of Fuzzy Logic Control System Incorporating Human Expert Knowledge for Combine Harvester. - Journal of Expert Systems with Applications, Vol. 37, 2010, 7080-7085.10.1016/j.eswa.2010.03.010Search in Google Scholar

15. Cayand, T., F. Isca n. Fuzzy Expert System for Land Reallocation in Land Consolidation. - Journal of Expert Systems with Applications, Vol. 38, 2011, 11055-11071.10.1016/j.eswa.2011.02.150Search in Google Scholar

16. Duru, N., F. Dokmen, M. Mucella Canbay, C. Kurtulus. Soil Productivity Analysis Based ona Fuzzy Logic System. - Journal of Science of Food and Agriculture, Vol. 90, 2010, No 13, 2220-2227.10.1002/jsfa.407420648553Search in Google Scholar

17. Jansse n, J. A. E. B., M. S. Krol, R. M. J. Schielen, A.Y. Hoekstra, J. L.de Ko k. Assessment of Uncertainties in Expert Knowledge, Illustrated in Fuzzy Rule-Based Models. - Journal of Ecological Modelling, Vol. 221, 2010, 1245-1251.10.1016/j.ecolmodel.2010.01.011Search in Google Scholar

18. Huil i, T., Y. Jiya o, Z. Lianqing, S. Zhou. Agriculture Disease Diagnosis Expert System Based on Knowledge and Fuzzy Reasoning: A Case Study of Flower. - In: 6th International Conference on Fuzzy Systems and Knowledge Discovery, Tianjion, China, 14-16 August 2009, 39-43.Search in Google Scholar

19. Mazloumzadeh, S. M., M. Sh ams i, H. Nezamabadi-Pour. Fuzzy Logic to Classify Date Palm Trees Based on Some Physical Properties Related to Precision Agriculture. - Journal of Precision Agriculture, Vol. 11, 2010, 258-273.10.1007/s11119-009-9132-2Search in Google Scholar

20. Xiaohong, P., M. Zh i, X. Laisheng, L. Guodon g. A Water-Saving Irrigation System Based on Fuzzy Control Technology and Wireless Sensor Network. - In: 5th International Conference on Wireless Communications, Network and Mobile Computing, Beijing, China, 24-26 September 2009, 1-4.Search in Google Scholar

21. Chio u, A., X. Yu. Remote Sensing in Decision Support Systems: Using Fuzzy Post Adjustment in Localisation of Weed Prediction. - In: Symposium on Computational Intelligence for Sensor Networks, Melbourne Australia, 3-6 December 2007, 533-538.10.1109/ISSNIP.2007.4496899Search in Google Scholar

22. Kolh e, S., R. Kama l, H. S. Sain i, G. K. Gupt a. A Web-Based Intelligent Disease- Diagnosis System Usinga New Fuzzy-Logic Based Approach for Drawing the Inferences in Crops. - Journal of Computers and Electronics in Agriculture, Vol. 76, 2011, 16-27.10.1016/j.compag.2011.01.002Search in Google Scholar

23. Kohl e, S., R. Kama l, H. S. Sain i, G. K. Gupt a. Rule Promotion: Anew Fuzzy Logic Approach for Drawing the Inferences in Rule Based Expert System. - Journal of the Indian Society of Agricultural Statistics, Vol. 65, 2011, No 3, 359-365.Search in Google Scholar

24. Jain, L., H. Kuma r, R. K. Singla. A Review of Fuzzy Rule Promotion Techniques in Agriculture Information System. - International Journal of Computer Applications, Special Issue on IP Multimedia Communications, 2011, 61-64.Search in Google Scholar

25. Glüe r, C. -C. G. Blak e, Y. Lu, B. A. Blun t, M. Jergas, H. K. Genant. Accurate Assessment of Precision Errors: How to Measure the Reproducibility of Bone Densitometry Techniques. - Osteoporosis International, Vol. 5, 1995, No 4, 262-270.10.1007/BF017740167492865Search in Google Scholar

26. Anonymous. Package of Practice of Kharif Crops. - Punjab Agricultural University, Ludhiana, Vol. 29, 2012, No 1, 1-18.Search in Google Scholar

27. Kagale, S., T. Marimuth u, B. Thayumanavan, R. Nandakumar, R. Samiyappan. Anti-Microbial Activity and Induction of Systemic Resistance in Rice by Leaf Extract of Datura Metel Against Rhizoctonia Solani and Xanthomonas Oryzae Pv. Oryzae. - Journal of Physiological and Molecular Plant Pathology, Vol. 65, 2004, No 2, 91-100, ISSN 0885-5765.10.1016/j.pmpp.2004.11.008Search in Google Scholar

28. Microsoft Corporation. Microsoft Excel Support, About Statistical Analysis Tools. 2012 (last seen on 22-11-2012). http://office.microsoft.com/en-us/excel-help/about-statistical-analysis-tools-HP005203873.aspxSearch in Google Scholar

eISSN:
1314-4081
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology