Crop Yield Prediction based on Indian Agriculture Using Machine Learning

[1]. Ananthara, M. G., Hemavathy, R., & Arunkumar, T. (2013, February). CRY is a more accurate model for predicting crop yields from
agricultural data sets utilizing bee hive clustering .In 2013 International Conference on Informatics, Mobile Engineering and Pattern
Recognition.
[2]. Sap, M. N. M., and Awan, A. M. (2006, April). a kernel-based intelligent system for forecasting crop yields, Conference on knowledge
Discovery and Data Mining in Pacific-Asia.
[3]. S. Bang, R. Bishnoi, A. S. Chauhan, A. K. Dixit, & I. Chawla (2019, August). Crop Yield Prediction Based on Fuzzy Logic Using
Predicted Temperature and Rainfall Parameters from ARMA, SARIMA, and ARMAX Models. The 12th International Conference on
Contemporary Computing (IC3) will be held in 2019.
[4] R. Jaikla, S. Auephanwiriyakul, & A. Jintrawet (2008, May) .Using support vector regression, estimate rice yield. The Fifth International
Conference on Electrical Engineering/Electronics, Computer, Telecommunication, and Information Technology was held in 2008.
[5] Miniappan, N., Kadir, M. K. A., and Ayob, M. Z. (August 2014). Prediction of wheat yield using artificial neural networks. The fourth
International Conference on Engineering, Technology, and Entrepreneurship (ICE2T) was held in 2014.
[6]. KM Meheta (January 2015). XCYPF: A adaptable and scalable framework for crop yield prediction in agriculture. 9th International
Conference on Intelligent Systems and Control (ISCO) of the IEEE was held in 2015.
[7]. Paul, M., S. K. Vishwakarma, and A. Verma (2015, December). Data mining approach for soil behavior analysis and crop yield
prediction. 2015's Computational Intelligence and Communication Networks International Conference (CICN) (pp. 766-771). IEEE.
[8]. Shah A, Dubey A, Hemnani V, Gala D, and Kalbande D. R. (2018) .Crop Yield Prediction Using Regression Techniques in a Smart
Farming System. International Conference on Wireless Communication Proceedings (pp. 49-56). Singapore's Springer.
[9]. Ramalatha, M., Suresh, A., and Kumar, P. G. (2018, October). Tamil Nadu's main agricultural yields are predicted using K-means and
Modified KNN. The third International Conference on Communication and Electronics Systems (ICCES) was held in 2018. (pp. 88-93).
IEEE.
[10]. Misra, B., Veenadhari, S., and Singh, C. C. (2014, January). A method using machine learning for predicting crop yield based on
climate factors .Global Conference on Computer Communication and Informatics in 2014.