Data-Driven Agriculture: Integrating Android and Cloud Computing in Smart Hydroponic Systems
Abstract
This study delves into the fusion of Android-based cloud computing and RESTful cloud services to elevate the precision and management capabilities of hydroponic plant cultivation. Employing a RESTful API as a pivotal communication interface, our research embraces a prototype methodology for software development. Thorough API testing validates the system's responsiveness, underlining its alignment with user queries. The resultant application not only furnishes real-time environmental monitoring but also offers the flexibility of automated or manual misting control for hydroponic crops. Unique in its adoption of the hydroponic floating raft technique, this research harnesses Android Studio as the user-centric front-end interface, while RESTful APIs serve as the backbone for seamless data exchange. This pioneering amalgamation of technology and methodology has the potential to redefine hydroponic agriculture, endowing it with data-driven insights and precise control mechanisms.
References
A. Khudoyberdiev, S. Ahmad, I. Ullah, and D. Kim, “An Optimization Scheme Based on Fuzzy Logic Control for Efficient Energy Consumption in Hydroponics Environment,” Energies, vol. 13, no. 2, p. 289, Jan. 2020, doi: 10.3390/en13020289.
G. M. Broad, “Know Your Indoor Farmer: Square Roots, Techno-Local Food, and Transparency as Publicity,” Am. Behav. Sci., vol. 64, no. 11, pp. 1588–1606, Oct. 2020, doi: 10.1177/0002764220945349.
R. Tapiawala, “Inequity in Homeownership: Closing America’s Racial Wealth Gap,” JOURney, p. 122.
M. E. H. Chowdhury et al., “Design, Construction and Testing of IoT Based Automated Indoor Vertical Hydroponics Farming Test-Bed in Qatar,” Sensors, vol. 20, no. 19, p. 5637, Oct. 2020, doi: 10.3390/s20195637.
S. Morelli et al., “Parametric sweep simulation for greenhouse temperature field optimization: An Italian case study,” Energy Reports, vol. 8, pp. 881–895, Nov. 2022, doi: 10.1016/j.egyr.2022.07.105.
N. Mattson and J. H. Lieth, “Liquid Culture Hydroponic System Operation,” Soil. Cult., pp. 567–585, 2019, doi: 10.1016/B978-0-444-63696-6.00012-8.
C. El-Nakhel et al., “Protein Hydrolysate Combined with Hydroponics Divergently Modifies Growth and Shuffles Pigments and Free Amino Acids of Carrot and Dill Microgreens,” Horticulturae, vol. 7, no. 9, p. 279, Sep. 2021, doi: 10.3390/horticulturae7090279.
J. Dyśko, W. Kowalczyk, and S. Kaniszewski, “The Influence of pH of Nutrient Solution On Yield and Nutritional Status of Tomato Plants Grown in Soilless Culture System,” J. Fruit Ornam. Plant Res., vol. 70, no. 1, pp. 59–69, Jan. 2009, doi: 10.2478/v10032-009-0006-y.
M. B. Fernandes, B. A. Costa, and J. M. Lemos, “Hydroponic Greenhouse Crop Optimization,” in 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO), Jun. 2018, pp. 270–275, doi: 10.1109/CONTROLO.2018.8514264.
D.-C. Aktsoglou et al., “Protein Hydrolysates Supplement in the Nutrient Solution of Soilless Grown Fresh Peppermint and Spearmint as a Tool for Improving Product Quality,” Agronomy, vol. 11, no. 2, p. 317, Feb. 2021, doi: 10.3390/agronomy11020317.
S. Khan, A. Purohit, and N. Vadsaria, “Hydroponics: current and future state of the art in farming,” J. Plant Nutr., vol. 44, no. 10, pp. 1515–1538, Jun. 2021, doi: 10.1080/01904167.2020.1860217.
B. Rabbi, Z.-H. Chen, and S. Sethuvenkatraman, “Protected Cropping in Warm Climates: A Review of Humidity Control and Cooling Methods,” Energies, vol. 12, no. 14, p. 2737, Jul. 2019, doi: 10.3390/en12142737.
R. Junge, N. Antenen, M. Villarroel, T. Griessler Bulc, A. Ovca, and S. Milliken, Aquaponics textbook for higher education. Zenodo, 2020.
A. Prasetio, “Alat Penyiram Tanaman Hidroponik Menggunakan RTC-DS3231 dan Android Sebagai Kontrol.” Universitas Gadjah Mada, 2016.
H. Farooq, H. U. Rehman, A. Javed, M. Shoukat, and S. Dudely, “A Review on Smart IoT Based Farming,” Ann. Emerg. Technol. Comput., vol. 4, no. 3, pp. 17–28, Jul. 2020, doi: 10.33166/AETiC.2020.03.003.
P. Srinivasulu, M. S. Babu, R. Venkat, and K. Rajesh, “Cloud service oriented architecture (CSoA) for agriculture through internet of things (IoT) and big data,” in 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE), Apr. 2017, pp. 1–6, doi: 10.1109/ICEICE.2017.8191906.
F. Kapojos, “Implementasi Service-Oriented Architecture dengan web service untuk aplikasi informasi akademik,” J. Tek. Elektro dan Komput., vol. 1, no. 1, 2012.
T. Le Vinh, S. Bouzefrane, J.-M. Farinone, A. Attar, and B. P. Kennedy, “Middleware to Integrate Mobile Devices, Sensors and Cloud Computing,” Procedia Comput. Sci., vol. 52, pp. 234–243, 2015, doi: 10.1016/j.procs.2015.05.061.
M. Nazari Jahantigh, A. Masoud Rahmani, N. Jafari Navimirour, and A. Rezaee, “Integration of Internet of Things and cloud computing: a systematic survey,” IET Commun., vol. 14, no. 2, pp. 165–176, Jan. 2020, doi: 10.1049/iet-com.2019.0537.
A. Gulati and R. Juneja, “Innovations in Production Technologies in India,” in From Food Scarcity to Surplus, Singapore: Springer Singapore, 2021, pp. 23–82.
C. Verdouw, B. Tekinerdogan, A. Beulens, and S. Wolfert, “Digital twins in smart farming,” Agric. Syst., vol. 189, p. 103046, Apr. 2021, doi: 10.1016/j.agsy.2020.103046.
H. Kendall et al., “Precision agriculture technology adoption: a qualitative study of small-scale commercial ‘family farms’ located in the North China Plain,” Precis. Agric., vol. 23, no. 1, pp. 319–351, Feb. 2022, doi: 10.1007/s11119-021-09839-2.
I. Haris, A. Fasching, L. Punzenberger, and R. Grosu, “CPS/IoT Ecosystem: Indoor Vertical Farming System,” in 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT), Jun. 2019, pp. 47–52, doi: 10.1109/ISCE.2019.8900974.
S. Rudrakar and P. Rughani, “IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics,” Inf. Process. Agric., Sep. 2023, doi: 10.1016/j.inpa.2023.09.002.
S. Mohammed Othman and M. Bahjat Abdulrazzaq, “Fuzzy logic system for drug storage based on the internet of things: a survey,” Indones. J. Electr. Eng. Comput. Sci., vol. 29, no. 3, p. 1382, Mar. 2023, doi: 10.11591/ijeecs.v29.i3.pp1382-1392.
Y. Fan et al., “A digital-twin visualized architecture for Flexible Manufacturing System,” J. Manuf. Syst., vol. 60, pp. 176–201, Jul. 2021, doi: 10.1016/j.jmsy.2021.05.010.
C. Cambra, S. Sendra, J. Lloret, and R. Lacuesta, “Smart System for Bicarbonate Control in Irrigation for Hydroponic Precision Farming,” Sensors, vol. 18, no. 5, p. 1333, Apr. 2018, doi: 10.3390/s18051333.
K. Küçük, C. Bayılmış, and D. L. Msongaleli, “Designing real-time IoT system course: Prototyping with cloud platforms, laboratory experiments and term project,” Int. J. Electr. Eng. Educ., vol. 58, no. 3, pp. 743–772, Jul. 2021, doi: 10.1177/0020720919862496.
DOI: https://doi.org/10.31315/cip.v2i1.10798
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