Internet of Things in Agriculture for Smart Farming

Authors

  • Takudzwa Fadziso Chinhoyi University of Technology

DOI:

https://doi.org/10.18034/mjmbr.v5i2.565

Keywords:

IoT, Smart Farm, Agriculture, Machine Learning, Artificial Intelligence, Automation

Abstract

Internet of Things in Agricultural Farming’ deals with the use IoTs in providing farmers the means to do multiple parallel things with wifi connected and increase their productivity in turn increasing their yearly revenue and profits. This will not only help the farmer but the raw materials which come out will be more than what would have yielded if the farmer had done all by themselves. The IoT network comprises systems and a network of web-connected intelligent devices that employ encoded networks like sensors, processors, and interactive hardware to receive, send and store data. The use of IoT in Agricultural Farming is no doubt going to greatly enhance farming and improve yields.

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Author Biography

  • Takudzwa Fadziso, Chinhoyi University of Technology

    Institute of Lifelong Learning and Development Studies, Chinhoyi University of Technology, ZIMBABWE

References

Ganapathy, A. (2015). AI Fitness Checks, Maintenance and Monitoring on Systems Managing Content & Data: A Study on CMS World. Malaysian Journal of Medical and Biological Research, 2(2), 113-118. https://doi.org/10.18034/mjmbr.v2i2.553 DOI: https://doi.org/10.18034/mjmbr.v2i2.553

Ganapathy, A. (2016a). Blockchain Technology Use on Transactions of Crypto Currency with Machinery & Electronic Goods. American Journal of Trade and Policy, 3(3), 115-120. https://doi.org/10.18034/ajtp.v3i3.552

Ganapathy, A. (2016b). Speech Emotion Recognition Using Deep Learning Techniques. ABC Journal of Advanced Research, 5(2), 113-122. https://doi.org/10.18034/abcjar.v5i2.550

Ganapathy, A. (2017). Friendly URLs in the CMS and Power of Global Ranking with Crawlers with Added Security. Engineering International, 5(2), 87-96. https://doi.org/10.18034/ei.v5i2.541

Ganapathy, A., & Neogy, T. K. (2017). Artificial Intelligence Price Emulator: A Study on Cryptocurrency. Global Disclosure of Economics and Business, 6(2), 115-122. https://doi.org/10.18034/gdeb.v6i2.558 DOI: https://doi.org/10.18034/gdeb.v6i2.558

Neogy, T. K., & Paruchuri, H. (2014). Machine Learning as a New Search Engine Interface: An Overview. Engineering International, 2(2), 103-112. https://doi.org/10.18034/ei.v2i2.539

Paruchuri, H. (2015). Application of Artificial Neural Network to ANPR: An Overview. ABC Journal of Advanced Research, 4(2), 143-152. https://doi.org/10.18034/abcjar.v4i2.549

Paruchuri, H. (2017). Credit Card Fraud Detection using Machine Learning: A Systematic Literature Review. ABC Journal of Advanced Research, 6(2), 113-120. https://doi.org/10.18034/abcjar.v6i2.547

Vadlamudi, S. (2015). Enabling Trustworthiness in Artificial Intelligence - A Detailed Discussion. Engineering International, 3(2), 105-114. https://doi.org/10.18034/ei.v3i2.519

Vadlamudi, S. (2016). What Impact does Internet of Things have on Project Management in Project based Firms?. Asian Business Review, 6(3), 179-186. https://doi.org/10.18034/abr.v6i3.520

Vadlamudi, S. (2017). Stock Market Prediction using Machine Learning: A Systematic Literature Review. American Journal of Trade and Policy, 4(3), 123-128. https://doi.org/10.18034/ajtp.v4i3.521

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Published

2018-12-31

Issue

Vol. 5 No. 2 (2018): July - December Issue

Section

Peer-reviewed Article

License

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How to Cite

Fadziso, T. (2018). Internet of Things in Agriculture for Smart Farming. Malaysian Journal of Medical and Biological Research, 5(2), 147-156. https://doi.org/10.18034/mjmbr.v5i2.565
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