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Ikechukwu-edeh, C. E.
Department of Agricultural and Bio-resources Engineering, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
Ndukwe, G. I.
Department of Computer Engineering, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
ABSTRACT
Greenhouse data acquisition methods have evolved over
the years, leaving behind the time consuming and technologically redundant
manual methods of data collection. This work presents the integration of
wireless sensor network (WSN) in the monitoring and collection of data from a
naturally ventilated green farm. The system employs a wireless sensor network
comprising soil moisture sensors, temperature sensors, and humidity sensors,
all controlled by an ESP32 microcontroller. This network effectively collects
soil and environmental data and transmits it to a MySQL database, where it is
processed and displayed on a custom web-based dashboard developed using HTML,
CSS, JavaScript, and PHP. Data was collected electronically (using the system)
and manually using moisture meters, thermometers and gauges as control. The
soil moisture, soil temperature and greenhouse relative humidity data collected
from both the electronic and manual sources were compared and had data
variations of 1.15%, 0.10% and 0.17% , respectively. The statistical p value of
0.6 shows a weak difference between the two sets of data. The validation of
sensor readings against standard measurement tools confirmed the accuracy and
reliability of the data, demonstrating the system's potential to significantly
contribute to the optimization of the green farm.
Keywords: Greenhouse, green farm, relative humidity, soil temperature, soil moisture
https://doi.org/10.33922/j.ujet_v10i1_23
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View: 31 | Download: 16
Published
Tuesday, April 23, 2024
Issue
Vol. 10 No. 1, June 2024
Article Section
GENERAL
The contents of the articles are the sole opinion of the author(s) and not of UJET.
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