DESIGN AND DEVELOPMENT OF SEED GERMINATION USING IOT
Keywords:
Blynk IOT, Chamber, Dashboard, DHT11 Sensor, Germination, Humidity, Integration, IOTAbstract
This paper aims to revolutionize traditional farming practices by integrating Internet of Things (IoT) technology and scientific experimentation to enhance plant growth and optimize farmers' performance. Instead of relying solely on anecdotal knowledge, our system employs a comprehensive approach, utilizing a hardware component comprising air, light intensity, and soil moisture sensors, along with actuators such as relays, motor gears, and water pumps, all controlled by microcontrollers. The second component is a management software featuring a user-friendly dashboard for visualizing sensor data and monitoring plant conditions. Users can manually or automatically adjust farming conditions through rule-based control, informed by plant growth data stored in the system's database. This innovative IoT-controlled system offers a precise and efficient means to measure, understand, and regulate critical factors such as air temperature, humidity, light intensity, and soil moisture, ultimately leading to improved farming outcomes.
References
“A seed germination test,” 2023. [Online]. Available: https:// www. aces.edu /blog/topics /lawn-garden/seed-germination-test/
S. Bhattacharya, “IoT Based Smart Agriculture System,” 2022
L. G. Nilsson, “GERMINATION IMPROVING SEED CAPSULE AND METHOD OF PREPARNG THE SAME,” 1983.
M. N. Islam et al., “Design and Development of an Intelligent Seed Germination System Based on IoT,” in Advances in Intelligent Systems and Computing, Springer Verlag, 2019, pp. 146–161. doi: 10.1007/978-3-030-04447-3_10.
A. Q. Mohabuth and D. Nem, “An IoT-Based Model for Monitoring Plant Growth in Greenhouses,” Journal of Information Systems and Informatics, vol. 5, no. 2, pp. 536–549, May 2023, doi: 10.51519/journalisi.v5i2.489.
L. Yu et al., “Review of research progress on soil moisture sensor technology,” International Journal of Agricultural and Biological Engineering, vol. 14, no. 4, pp. 32–42, Jul. 2021, doi: 10.25165/j.ijabe.20211404.6404.
H. Khaeim, Z. Kende, M. Jolánkai, G. P. Kovács, C. Gyuricza, and Á. Tarnawa, “Impact of Temperature and Water on Seed Germination and Seedling Growth of Maize (Zea mays L.),” Agronomy, vol. 12, no. 2, Feb. 2022, doi: 10.3390/agronomy12020397.
H. Y. Riskiawan et al., “Artificial Intelligence Enabled Smart Monitoring and Controlling of IoT-Green House,” Arabian Journal for Science and Engineering, vol. 49, no. 3, pp. 3043–3061, Mar. 2024, doi: 10.1007/s13369-023-07887-6.
K. v. S., S. G., M. K., V. D., and K. M., “Effect of Seed Testing Temperature on Germination of Bhendi Seed,” International Journal of Environment and Climate Change, vol. 13, no. 10, pp. 1659–1666, Aug. 2023, doi: 10.9734/ijecc/2023/v13i102821.
G. Mamani, H. C. Soto, S. L. C. Mateo, C. T. Sahley, A. Alonso, and R. Linares-Palomino, “Substrate, moisture, temperature and seed germination of the threatened endemic tree Eriotheca vargasii (Malvaceae),” Revista de Biologia Tropical, vol. 66, no. 3, pp. 1162–1170, Sep. 2018, doi: 10.15517/rbt.v66i3.29810.
E. Nigussie, T. Olwal, G. Musumba, T. Tegegne, A. Lemma, and F. Mekuria, “IoT-based irrigation management for smallholder farmers in rural Sub-Saharan Africa,” in Procedia Computer Science, Elsevier B.V., 2020, pp. 86–93. doi: 10.1016/j.procs.2020.10.015.
Q. Martin and M. Weyl, “IoT-enabled Smart Agriculture: Innovations and Impact”, doi: 10.13140/RG.2.2.36504.40969.
Y. Tian, B. Guan, D. Zhou, J. Yu, G. Li, and Y. Lou, “Responses of seed germination, seedling growth, and seed yield traits to seed pretreatment in maize (Zea mays L.),” Scientific World Journal, vol. 2014, 2014, doi: 10.1155/2014/834630.
D. Santos Da Cruz et al., “Monitoring and Control System for Seed Germination Using Internet of Things.”
R. S. Upendra, I. M. Umesh, R. B. Ravi Varma, and B. Basavaprasad, “Technology in Indian
agriculture – A review,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 20, no. 2, pp. 1070–1077, Nov. 2020, doi: 10.11591/ijeecs.v20.i2.pp1070-1077.
K. Kutubuddin and S. Liyakat, “Blynk IoT-Powered Water Pump-Based Smart Farming.”
S. S. Shanto, M. Rahman, J. Md. Oasik, and H. Hossain, “Smart Greenhouse Monitoring System Using Blynk IoT App,” Journal of Engineering Research and Reports, vol. 25, no. 2, pp. 94–107, May 2023, doi: 10.9734/jerr/2023/v25i2883.
Q. Peng, L. Tu, Y. Wu, Z. Yu, G. Tang, and W. Song, “Automatic Monitoring System for Seed Germination Test Based on Deep Learning,” Journal of Electrical and Computer Engineering, vol. 2022, 2022, doi: 10.1155/2022/4678316.
A. I. Malik, T. I. Ailewe, and W. Erskine, “Tolerance of three grain legume species to transient waterlogging,” AoB PLANTS, vol. 7, no. 1, 2015, doi: 10.1093/aobpla/plv041.
R. Dawar et al., “Seed Dormancy Dynamics and Germination Characteristics of Malva parviflora L.,” Agriculture (Switzerland), vol. 14, no. 2, Feb. 2024, doi: 10.3390/agriculture14020266.
M. H. Absar, G. F. Mirza, W. Zakai, Y. John, and N. Mansoor, “Novel IoT-Based Plant Monitoring System †,” Engineering Proceedings, vol. 32, no. 1, 2023, doi: 10.3390/engproc2023032012.
A. Haj Sghaier, Á. Tarnawa, H. Khaeim, G. P. Kovács, C. Gyuricza, and Z. Kende, “The Effects of Temperature and Water on the Seed Germination and Seedling Development of Rapeseed (Brassica napus L.),” Plants, vol. 11, no. 21, Nov. 2022, doi: 10.3390/plants11212819.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Shon G.Nemane, Dhiraj P.Tulaskar, Prathmesh Gattani, Dipali Agrawal, Shrushti Nawalkar, Harsh Drona, Sanskar Dube (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
