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Green House Effect and Internet of Things: A Review

Author

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  • Qammar Shabbir Rana

    (National Defence University, Islamabad)

Abstract

This article summarisesthe current state of knowledge concerning Internet of Things (IoT) systems for ideal greenhouse conditions. Descriptive and statistical methods were applied to the data in order to draw conclusions regarding the connections between the IoT, new technologies, precision farming, Agriculture 4.0, and productive commercial agriculture. This is discussed within the broader context of the Internet of Things (IoT) and its role in reducing the negative impacts of climate change and global warming on agriculture through the optimization of key parameters like temperature and humidity, intelligent data acquisition, rule-based control, and removing obstacles to the widespread use of IoT in this sector of the economy. Low agricultural yields and losses have been exacerbated by recent unexpected and severe weather events; this is a challenge that can be overcome with technology-mediated precision agriculture. Over time, technological advancements have led to the creation of sensors that can detect and warn of impending frost, monitor crops remotely, protect against fire hazards, precisely regulate nutrient levels in soilless greenhouse cultivation, eliminate the need for grid power by relying solely on solar power, and control feeding, shading, and lighting systems intelligently to maximize crop output while minimizing overhead expenses. The limited adoption of smart technologies in commercial agriculture, the price, and the accuracy of the sensors are just some of the specific challenges. Future R&D initiatives and commercial applications can be aided by considering the obstacles and challenges.

Suggested Citation

  • Qammar Shabbir Rana, 2023. "Green House Effect and Internet of Things: A Review," International Journal of Agriculture & Sustainable Development, 50sea, vol. 5(1), pages 23-31, March.
  • Handle: RePEc:abq:ijasd1:v:5:y:2023:i:1:p:23-31
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    References listed on IDEAS

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    1. Mohammad Nishat Akhtar & Abdurrahman Javid Shaikh & Ambareen Khan & Habib Awais & Elmi Abu Bakar & Abdul Rahim Othman, 2021. "Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A Review," Agriculture, MDPI, vol. 11(6), pages 1-37, May.
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