Soil nutrient measurement in paddy farming using IoT

  • Abstract
  • Keywords
  • References
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  • Abstract

    In India agriculture is a major factor in the development of an economy. It plays a major role in eradicating the world hunger, but farmers in India still use primitive and old ways to grow their crops especially paddy which even though is not wrong but doesn’t help farmers to get the maximum yield out of their paddy farms. To do that they need to utilize the modern technology that will not only help them increase their paddy yield but also reduce their dependency on weather conditions and also on manual labor. One such technology is discussed in this paper, here we are proposing a way to measure soil nutrients in real time and send that data to the farmer so that he can plan the type of seed for paddy crop he wants to grow for that season. This paper mainly measures nitrogen phosphorous potassium (NPK) in the soil which means nitrogen sodium and potassium which are major micronutrients in the soil. Farmers start using fertilizers which are not only harmful to the environment but also are damaging to the humans and animals who consume them. Not only do we provide a way to avoid this but also help the farmers which variety of seed to a farm to increase their yield. We also send a notification to the farmer’s phone about the values in the soil and also the market values of the paddy crop they are farming in particular season.


  • Keywords

    Arduino; NPK; Paddy; Fertilizers and Soil.

  • References

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      [2] B. Balaji Bhanu, K. Raghava Rao,” Agriculture Field Monitoring and Analysis using Wireless Sensor Networks for improving Crop Production”,IEEE Communications Magazine.

      [3] Deepa V. Ramane, Supriya S. Patil, “Detection of NPK nutrients of soil using Fiber Optic Sensor” International Journal of Research in Advent Technology (E-ISSN: 2321-9637) Special Issue National Conference “ACGT 2015”, 13-14 February 2015.

      [4] Ramalatha marimuthu, M.alamelu, “design and development of a persuasive technology method to encourage smart farming”, 2017 IEEE region 10 humanitarian technology conference (R10-HTC).

      [5] Chit Su Hlaing, Sai Maung Zaw, “Plant deseases recognition for smart farming using model-based statistical features”, 2017 IEEE 6TH Global Conference on Consumer Electronics (GCCE).

      [6] Lukito Edi Nugroho, Andreas Gandhu Hendra Pratama, I Wayan Musika, “ Development of monitoring system for smart framing using progressive Web APP“, 2017 International Conference on Information Technology and Electrical Engineering(ICTIEE).

      [7] Robert Eko Neogroho Sisyanto, Suhardi, Novianto Budi Kumiawan, “Hydroponic Smart Farming using cyber physical social system with telegram messenger”, 2017 International Conference o Information Technology Systems and Innovation(ICITSI).

      [8] Jan Bauer, Nils Aschenbruck, “Measuring and Adapting MQTT in Cellular Networks for Collaboration of Smart Farming”, 2017 IEEE 42nd Conference on Local Computer Networks(LCN).




Article ID: 10718
DOI: 10.14419/ijet.v7i2.7.10718

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