Crop Recommendation System for agriculture is based on various input parameters. This paper proposes a hybrid model for recommending crops to south Indian states by considering various attributes. The recommender model is built as a hybrid model using the classifier algorithm such as Naive Bayes, J48 and association rules. Based on the appropriate parameters, the system will recommend the crop. Technology-based crop recommendation system for agriculture helps the farmers to increase the crop yield by recommending a suitable crop for their land with the help of geographic and the climatic parameters. The proposed hybrid recommender model is found to be effective in recommending a suitable crop.
CITATION STYLE
Ms. Viviliya*, & V, Prof. V. (2019). The Design of Hybrid Crop Recommendation System using Machine Learning Algorithms. International Journal of Innovative Technology and Exploring Engineering, 9(2), 4305–4311. https://doi.org/10.35940/ijitee.b7219.129219
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