Open AccessThe Design of Hybrid Crop Recommendation System using Machine Learning Algorithms
Author(s) -
Ms. Viviliya*,
Prof. Vaidhehi V
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7219.129219
Subject(s) - c4.5 algorithm , recommender system , computer science , machine learning , naive bayes classifier , agriculture , crop , collaborative filtering , artificial intelligence , crop yield , algorithm , agricultural engineering , data mining , support vector machine , engineering , geography , agronomy , forestry , archaeology , biology
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