Agriculture Based Recommender System using IoT – A Research
Manoj Athreya A1, Hrithik Gowda S2, S Madhu3, Ravikumar V4
1Manoj Athreya A, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
2Hrithik Gowda S, Department of Computer Science and Engineering,Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
3S Madhu, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
4Ravikumar V, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
Manuscript received on 24 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1817-1821 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B11610882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1161.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In today’s world, IoT (Internet of Things) plays an important role in human life simply by allowing objects to be sensed or remotely controlled through other existing networks. Traditional farming methods with some recommendations will save time and effort. In this paper, we have planned to use technologies such as IoT, Machine Learning and Cloud computing to recommend to farmers the type of crop to be grown on the basis of available resources, climate, rainfall, temperature, market prices, area of land, past crop yield and other parameters, thereby reducing the effort and time required for different agricultural processes. In considering the above parameters, it is recommended that farmers grow and the type of pesticides and water supply be used from time to time. The system can help farmers produce suitable crops. As a result, they can improve their lifestyles and help society more. In this paper, we present an attempt to predict the yield and price of crops that a farmer can obtain from his land by analyzing past data patterns. It gives them an overview of the recommendation to grow the plant until the crop is sold. Therefore, provide a comprehensive guide to help farmers in their agricultural work.
Keywords: Agriculture, Recommender System, Machine Learning, IoT.
Scope of the Article: IoT