Abstract
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. Technologybased 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
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science
Cited by
12 articles.
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