• E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

DEVELOPING A SMART MODEL BASED ON INTERNET OF THINGS (IOT) FOR AN ENHANCED CROP MONITORING SYSTEM TO OBTAIN OPTIMUM YIELDS

Shreya Bhardwaj

Miranda House, University of Delhi, New Delhi, India

127 - 133 Vol. 5, Jan-Dec, 2019
Receiving Date: 2019-09-24;    Acceptance Date: 2019-11-18;    Publication Date: 2019-11-24
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Abstract

India's main economic spine is agriculture. Multiple factors influence the crop's yield. The most important factors are soil moisture, weather conditions, field maintenance, and fencing. An animal is likely to attack the field if the fencing is installed correctly. We use a PIR sensor to detect movements to avoid the above scenario. As a result, when a movement is detected, a buzzer will sound. There are very few situations in which the crop completely ripens under fire. To avoid this dangerous situation, we have implemented a flame sensor and a GSM module to alert the appropriate person whenever the crop comes into contact with fire. Additionally, we monitor the soil moisture level, determining when the motor turns on and off.

Keywords: crop monitoring; IOT; agriculture

    References

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