Design and Development of Smart Farming Technology for Sweet Charlie Strawberry Using Atmega2560 Microcontroller Board

Authors

DOI:

https://doi.org/10.64807/ttz1gp84

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.

Keywords:

Smart Farming Technology, Strawberry, Automated Greenhouse, Subirrigation method, Quezon City University

References

Astutik, Y., Murad, N., Putra, G.M.D., & Setiawati, D.A. (2019). Remote monitoring systems in greenhouse based on NodeMCU ESP8266 microcontroller and Android. AIP Conference Proceedings. https://doi.org/10.1063/1.5141286

Ba, Q., Lu, D., Kuo, W.H., & Lai, P. (2018). Traditional farming and sustainable development of an Indigenous community in the Mountain Area—A case study of Wutai village in Taiwan. Sustainability, 10(10), 3370. https://doi.org/10.3390/su10103370

Benson, G.A.S., Nofiu, A.O., & Adesina, B.S. (2024). Design and development of a Time Saving and Cost-Effective irrigation Facility for peasants and urban vegetable production. OAlib, 11(03), 2. https://doi.org/10.4236/oalib.1108881

Danita, M., Mathew, B., Shereen, N., Sharon, N., & Paul, J.J. (2018). IoT Based Automated Greenhouse Monitoring System. In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). https://doi.org/10.1109/iccons.2018.8662911

Giua, C., Materia, V.C., & Camanzi, L. (2022). Smart farming technologies adoption: Which factors play a role in the digital transition? Technology in Society, 68, 101869. https://doi.org/10.1016/j.techsoc.2022.101869

Hansen, S., & Porter, W.F. (2006). Using technology to optimize greenhouse control. In 2006 Portland, Oregon, July 9-12, 2006. https://doi.org/10.13031/2013.21118

Idoje, G., Dagiuklas, T., & Iqbal, M. (2021). Survey for smart farming technologies: Challenges and issues. Computers & Electrical Engineering, 92, 107104. https://doi.org/10.1016/j.compeleceng.2021.107104

Islam, A. (2021). Mechanized cultivation increases labour efficiency. Bangladesh Rice Journal, 24(2), 49-66. https://doi.org/10.3329/brj.v24i2.53448

Jiang, Z., Kobayashi, T., Yamanaka, T., & Sandberg, M. (2023). A literature review of cross ventilation in buildings. Energy and Buildings, 291, 113143. https://doi.org/10.1016/j.enbuild.2023.113143

Каландаров, П.И., & Murodova, G. (2024). Study on microprocessor control of agricultural greenhouse microclimate. E3S Web of Conferences, 497, 03026. https://doi.org/10.1051/e3sconf/202449703026

Khan, N.M., Ray, R.L., Sargani, G.R., Ihtisham, M., Khayyam, M., & Ismail, S. (2021). Current progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture. Sustainability, 13(9), 4883. https://doi.org/10.3390/su13094883

Lara, J.C.D., Gutierrez, S., & Rodriguez, F. (2019). Low Cost Greenhouse Monitoring System Based on Internet of Things. IEEE. https://doi.org/10.1109/icev.2019.8920502

Maraveas, C., & Bartzanas, T. (2021). Application of internet of things (IoT) for optimized greenhouse environments. AgriEngineering, 3(4), 954-970. https://doi.org/10.3390/agriengineering3040060

Muimba-Kankolongo, A. (2018). Climates and Agroecologies. In Elsevier eBooks (pp. 5-13). https://doi.org/10.1016/b978-0-12-814383-4.00002-5

Mubarakah, N., Soeharwinto, N., Tanjung, K., & Simanjuntak, A.J. (2023). Monitoring and Control System Design Smart Greenhouse Environmental Conditions in Strawberry Cultivation. In 2023 7th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM). https://doi.org/10.1109/elticom61905.2023.10443148

O’Sullivan, C.A., Bonnett, G.D., McIntyre, C.L., Hochman, Z., & Wasson, A. (2019). Strategies to improve the productivity, product diversity and profitability of urban agriculture. Agricultural Systems, 174, 133-144. https://doi.org/10.1016/j.agsy.2019.05.007

Puglisi, R., Lippolis, M., Starace, G., Arrigoni, P., & Picuno, P. (2023). Efficiency of plastic nets for greenhouse shading. In Lecture notes in civil engineering (pp. 1211-1218). https://doi.org/10.1007/978-3-031-30329-6_125

Yuan, G.N., Marquez, G.P.B., Deng, H., Iu, A., Fabella, M., Salonga, R.B., Ashardiono, F., & Cartagena, J.A. (2022). A review on urban agriculture: technology, socio-economy, and policy. Heliyon, 8(11), e11583. https://doi.org/10.1016/j.heliyon.2022.e11583

Downloads

Published

2024-12-13

How to Cite

Caranyagan, J., Destura, D., Gacias, R. J., Noche, J., Quimiguing, S., & Vicente, J. M. (2024). Design and Development of Smart Farming Technology for Sweet Charlie Strawberry Using Atmega2560 Microcontroller Board. QCU The Star, 2(1). https://doi.org/10.64807/ttz1gp84