Problematic Observations using Firefly Algorithm and its Variants
Viviliya B1, Vaidhehi V2

1Ms. Viviliya B*, BCA Degree from Bishop Heber College, Bharathidasan University, Tamil Nadu.
2Prof. Vaidhehi V received her MSc Degree from Bharathidasan University, Tamil Nadu and M.Phil Degree from Kamaraj University, TamilNadu

Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 4305-4311 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7219129219/2019©BEIESP | DOI: 10.35940/ijitee.B7219.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

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. 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. 
Keywords: Recommendation System, Naive Bayes, J48, Association rules, Hybrid, Model.
Scope of the Article: Algorithm Engineering