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Development of Internet of Things based smart multi-sensors system for early prediction of plant growth

Authors: Ghavami, Maryam;

Development of Internet of Things based smart multi-sensors system for early prediction of plant growth

Abstract

The application of Internet of Things (IoT) has become an important part of our daily lives in diverse areas. IoT provides the ability to integrate and communicate between different objects using smart sensors, cameras, and actuators through an Internet connection. In recent years, a combination of IoT technologies have begun to play an important role in monitoring plant health and growth condition in agricultural systems. Monitoring plant conditions and the effect of abiotic stresses in the early stages is very crucial since it can maximize crop productivity and enable producers to provide products of superior quality. The objective of this research study was to design, develop, and deploy a Raspberry Pi-based smart multi-sensor system for real-time monitoring of plant health conditions at various soil moisture levels. The developed prototype was successfully tested by conducting a series of calibration tests at known soil moisture and temperature conditions. The results obtained from five calibration tests demonstrated that the temperature and soil moisture sensors were accurate and robust over the selected period. The Raspberry Pi-based smart imaging enabled capturing images of plants in real-time for predicting their health and growth condition. To predict the critical time for irrigation, mathematical models were developed that established a relationship between the number of green (i.e., healthy) areas of the plant and soil moisture condition for each soil moisture content (i.e., 0, 20, 40, 60, and 80%). It was observed that the value of the green area of plants decreased with a decrease in soil moisture content. These models could be applied for integrating IoT-based systems in various environmental conditions.

Country
Canada
Related Organizations
Keywords

smart sensors, Internet of Things, green area of plant, Monitoring plant conditions, Raspberry Pi-based smart multi-sensor system

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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