Application of Rule Based Fuzzy Inference System in Predicting the Quality and Quantity of Potato Crop Yield in Agra-Reference-Cited by-同舟云学术

Application of Rule Based Fuzzy Inference System in Predicting the Quality and Quantity of Potato Crop Yield in Agra

Published:2014 Issue: Volume: Page:211-223
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Anand Darpan,Singh Manu Pratap,Gupta Manish

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-1771-8_19

Reference8 articles.

1. Chai, Y., Jia, L., Zhang, Z.: Mamdani model based adaptive neural fuzzy inference system and its application. Int. J. Inf. Math. Sci. 5, 1 (2009)

2. Athar, Atifa, et al.: A fuzzy inference system for synergy estimation of simultaneous emotion dynamics in agents. Int. J. Sci. Eng. Res. 2(6), 35–41 (2011)

3. Pandey, Abhishek, et al.: Crop parameters estimation by fuzzy inference system using X-band scatterometer data. Advances in space research (2012)

4. Papageorgiou, E.I., et al.: Yield prediction in apples using fuzzy cognitive map learning approach. Comput. Electron. Agric. 91, 19–29 (2013)

5. http://research.cip.cgiar.org/confluence/display/wpa/India (2013)

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