IoT based smart agriculture monitoring, automation and intrusion detection system
Manual irrigation is still widely used in agricultural field using traditional drip and can watering. However, traditional irrigation systems are inefficient and inexact, leading to either insufficient or excessive watering. Moreover, it is difficult for farmers to predict suitable quantities at...
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| Main Authors: | , , , , , , , |
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| Format: | Proceeding Paper |
| Language: | en en |
| Published: |
IOP Publishing
2021
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/92327/13/92327_IoT%20based%20smart%20agriculture%20monitoring.pdf http://irep.iium.edu.my/92327/15/92327_IoT%20Based%20Smart%20Agriculture%20Monitoring%2C%20Automation%20and%20Intrusion%20Detection%20System_Scopus.pdf http://irep.iium.edu.my/92327/ https://iopscience.iop.org/article/10.1088/1742-6596/1962/1/012016/meta |
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| Summary: | Manual irrigation is still widely used in agricultural field using traditional drip and
can watering. However, traditional irrigation systems are inefficient and inexact, leading to either
insufficient or excessive watering. Moreover, it is difficult for farmers to predict suitable
quantities at the appropriate time. Manual monitoring of the crop field may also lead to human
error and is potentially risky for rural areas. Farmers may also not be aware of intrusions if they
are not on location. Therefore, this project is designed to develop a smart monitoring and
automated irrigation system to provide not only efficient water consumption based on specific
conditions, but also enables real-time monitoring of the environment. Furthermore, this system
prevents damage to plants and reduces the likelihood of plant theft. This system uses NodeMCU
ESP32 as a microcontroller that collects environmental data such as humidity, temperature, soil
moisture levels from sensors. The NodeMCU is integrated with a relay and RTC module to
irrigate plants at specific times and is also equipped with a passive infrared sensor to detect
intruders near the crop-field. Upon detection, an ESP32 camera is used to automatically capture
the current conditions and farmers will be subsequently notified. Warnings are also sent to
farmers upon detection of unwanted circumstances such as extreme temperature, which could
prevent instances of open burning. The utility of the developed prototype is evident in the way
it automatically irrigates the crop field without human intervention. Farmers may monitor and
manually control the irrigation process using an attached Android application. Additionally, they
may manually activate a buzzer warn off any potential malicious actors. |
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