Automation in Agriculture Using IoT and Machine Learning
Abhishek L1, Rishi Barath B2
1Abhishek L, School of Computing Science and Engineering, Vellore Institute of Technology Chennai, Chennai (Tamil Nadu), India.
2Rishi Barath B, School of Computing Science and Engineering, Vellore Institute of Technology Chennai, Chennai (Tamil Nadu), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1520-1524 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6651058719/19©BEIESP
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 (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The purpose of this project is to improve the efficiency of the agriculture sector. In India, agriculture plays a vital role for development in food production. Internet of Things (IoT) is a milestone in evolution of technology. IoT helps us in many fields among which agriculture is one of the primary ones. With the help of IoT along with Machine Learning in the field of agriculture, we can increase the efficiency of crop production.Different weather parameters are taken into consideration with which the best suitable crop to be grown are predicted with the help of supervised learning like Decision Tree Classifier, Regression. With help of different sensors, the soil and atmospheric conditions are determined and transferred through multi-hop communication to the server in which monitoring of crops’ health and control of irrigation system takes place. TDMA is used for the above purpose.
Keyword: Internet of Things, Machine Learning, ZigBee, Wireless Sensor Networks, Smart Agriculture, Multi-hop communication, TDMA.
Scope of the Article: Machine Learning.