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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM20109
Volume:
7 |
4 |
Apr 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The IoT-based smart plant monitoring and irrigation system is a project that utilizes Blynk app, Node MCU ESP8266, soil moisture sensor, DHT11, PIR motion detection sensor, and an automatic plant watering system based on a threshold value. The project aims to address the challenges in plant monitoring and irrigation by collecting data about the plant’s environment and soil moisture levels using IoT technology and sensors. The collected data is analyzed by a microcontroller to trigger an automated irrigation system when the soil moisture level falls below a set threshold value. The system also includes a PIR motion detection sensor to detect motion and indicate the presence of animals or humans in the plant area using the Blynk app. This allows users to monitor and control the irrigation system and take appropriate action when necessary. The project details the hardware and software components of the system, the methodology used in the development process, and the testing and validation results. The system’s effectiveness in providing accurate and timely irrigation to plants, reducing water usage, and improving plant health is evaluated. The proposed project has the potential to provide an efficient and sustainable solution to plant irrigation in both small-scale and large-scale applications, while also addressing concerns related to animal or human intervention in the plant area.
KEYWORDS
Publication Date
2/4/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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