Published April 10, 2021 | Version v1
Journal article Open

IOT BASED SMART PLANT INCUBATOR

  • 1. Assistant Professor, Dhanalakshmi Srinivasan Institute of Technology, Samayapuram, Trichy, Tamilnadu
  • 2. UG Scholar, Dhanalakshmi Srinivasan Institute of Technology, Samayapuram, Trichy, Tamilnadu

Description

Smart Plant Incubator has been designed to simulate the optimum atmospheric conditions like temperature, soil moisture, air humidity and light intensity required for the prime growth of the specific plant. We have come up with a unit which is fully automated thereby increasing the efficiency of growing plants. In today’s world farmers are depleting the soil fertility and productivity while trying to obtain optimum condition results with the crops by using more and more synthetic fertilizers and pesticides. In contrast to this, our product already provides the favourable conditions for the plants thus eliminating such soil destruction. This an inexpensive solution to solve other problems like growing rare or exotic plants, plants with medicinal values and others that cannot be grown due to unfavorable atmospheric conditions of the areas. It has an IoT enabled system enabling the device to be controlled from any place any time. Our product provides increased automation with no human requirement to monitor changes as it automatically utilizes the stored data from the database thus simulating the climatic conditions. For monitoring the parameters as the human intervention is not involved, errors are reduced to a greater extent thereby enhancing the accuracy. Furthermore, we have integrated AWS cloud with the plant incubator to make it possible for any user to remotely access.

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References

  • 1. CC3200 Simple Link Wi-Fi and Internet-of Things Solution, a Single Chip Wireless MCU Technical Reference Manual. 2. OASIS–MQTTVersion3.1.1plusErrata01, November 7, 2016. 3. N. Yadav, "CPCB Real time Water Quality Monitoring", Report: Center for Science and Environment, 2012. 4. P. NR and D. M. Padma, "Design of Low Cost System for Real Time Monitoring of Water Quality Parameters in IOT Environment", International Journal of Advanced Research in Computer Science and Application, May 2016, Vol. 4. 5. Q. Y. C. Z. Young Hua Ling, Jiabin Tang, "Wireless Communication for IOT (Internet of Things)", IBM Research, December 17, 2016.