Smart Crop Monitor using Internet of Things, Cloud, Machine Learning and Android App
Yamini U.1, Taha Sufiyan2, Thankam Paul3, Suyash Gupta4, R. Chinnaiyan5
1Yamini U., Department of Information Science and Engineering, CMR Institute of Technology, Bengaluru, Karnataka, India.
2Taha Sufiyan, Department of Information Science and Engineering, CMR Institute of Technology, Bengaluru, Karnataka, India.
3Suyash Gupta, Department of Information Science and Engineering, CMR Institute of Technology, Bengaluru, Karnataka, India.
4Thankam Paul, Department of Information Science and Engineering, CMR Institute of Technology, Bengaluru, Karnataka, India.
5Dr. R. Chinnaiyan, Associate Professor, Department of Information Science and Engineering, CMR Institute of Technology, Bengaluru, India.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 3213-3217 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6090029320/2020©BEIESP | DOI: 10.35940/ijeat.C6090.029320
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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: This paper describes a Smart Crop Monitoring system implemented using Internet of Things (IoT) for sensing environmental conditions and forwarding the data, Machine Learning to generate decisions for crop management based on the data, Cloud for storage and an Android application interface for operation of the system.
Keywords: Smart Crop Monitoring, IoT, Machine Learning, Cloud, Android.