Design and Development of Smart Farming Technology for Sweet Charlie Strawberry Using Atmega2560 Microcontroller Board
James O. Caranyagan | Dianne G. Destura | Roeve Josuah N. Gacias | Jeeko F. Noche | Shannen P. Quimiguing | Jhon Mark T. Vicente
Discipline: bioengineering, medical and biomedical engineering
Abstract:
Rooted in antiquity and grounded upon time-honored traditions,
traditional farming is an indispensable pillar supporting sustainable communities
across generations. Yet, while lauded for its enduring virtues, it confronts reproach
for its labor-intensive methodologies and the challenge of effectively navigating
environmental variables, pestilence, and diseases. Strawberry (Fragaria ×
ananassa), revered as one of the world's most popular fruits, grapples with
comparable difficulties aggravated by its innate susceptibility to water. Enter Smart
Farming Technology, an automated greenhouse paradigm, poised as a promising
solution in ameliorating the manifold obstacles afflicting both traditional agriculture
and the cultivation of strawberries. Utilizing advanced techniques such as the subirrigation method from Taiwan, the automated greenhouse offers a solution to
combat issues related to water sensitivity and water wastage in strawberry
cultivation. This study demonstrates the successful integration of sensors, modules,
and actuators, resulting in the development of an automated greenhouse system.
Every device employed within the greenhouse has passed strict functionality tests,
while every sensor has commendable accuracy rates, culminating in a rate of
97.22%. As a testament to the efficacy of Smart Farming Technology, strides have
been achieved in urban strawberry cultivation, marked by the growth of
strawberries, their larger size, and their resplendent crimson color. With Smart
Farming Technology, a substantial advancement in cultivating strawberries within
urban environments is made, significantly contributing to modernizing agriculture,
promoting sustainability, and precise farming practices
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ISSN 3027-9852 (Online)
ISSN 3027-9887 (Print)