Design of an Autonomous System Applying IoT for the Correct Monitoring of the Municipal Nursery of the District of Mi Perú – Callao
Design of an Autonomous System Applying IoT for the Correct Monitoring of the Municipal Nursery of the District of Mi Perú – Callao |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-9 |
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| Year of Publication : 2023 | ||
| Author : Jeffry Ricaldi -Cerdan, Laberiano Andrade-Arenas |
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| DOI : 10.14445/22315381/IJETT-V71I9P226 | ||
How to Cite?
Jeffry Ricaldi -Cerdan, Laberiano Andrade-Arenas, "Design of an Autonomous System Applying IoT for the Correct Monitoring of the Municipal Nursery of the District of Mi Perú – Callao," International Journal of Engineering Trends and Technology, vol. 71, no. 9, pp. 294-305, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I9P226
Abstract
The contamination of the biodiversity that exists in the Peruvian territory has caused the authorities and the Ministry of the Environment to promote the implementation of various nurseries in the municipalities and regions, among others, whose objective is to produce various species of plants to meet the demands of reforestation programs due to global warming that the planet welcomes. That is why the Municipality of the commune of Mi Perú, located in the Callao region, committed itself in recent years to implement a nursery, in which it has generated more than 100 species of plants, where it was observed that the process could be optimized of insemination and production, using a system that provides a more efficient and practical follow-up. That is why, faced with this problem, the design of an autonomous system applying IoT using renewable energies for the correct nursery inspection is proposed. It is intended to use the ESP32 platform and environmental sensors, such as temperature (DHT11), humidity of the soil (FC-28), hydrogen energy (Ph4502C) and ultraviolet radiation (ML8511), in which they will work with actuators that will simulate ventilation and automatic irrigation pumping. Finally, the system is intended to serve as an economic and universal instrument to monitor the various biodiversity according to the requirement or case studies. In addition, IoT technology will facilitate more autonomous control through the GRAFANA virtual platform that is used to monitor in real-time and store in the Influx DB database.
Keywords
Nurseries, Biodiversity, Sensors, IoT, ESP32, Database.
References
[1] Vasanthakumari Roshni, and Variampally Sankar Harikumar, “Fluoride Contamination in Wetlands of Kuttanad, India: Predisposing Edaphic Factors,” Eurasian Journal of Soil Science, vol. 10, no. 1, pp. 61-68, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Villegas Yarleque Mario, Hidalgo Armestar Ronald, and Gretel Fiorella Villegas Aguilar, “Effects of Climate Change on the Production and Yield of Two Agricultural Crops in Piura, Peru 1973-2018,” Universidad Ciencia y Tecnología, vol. 24, no. 106, pp. 27-33, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Chavez Quispe Alejandro, “Determination of Lead Levels in Adult Residents of the "Virgen de Guadalupe" Human Settlement, MiPerú District, in the Constitutional Province of Callao,” Thesis EP Toxicología, Universidad Nacional Mayor de San Marcos, 2018.
[Google Scholar] [Publisher Link]
[4] Maria Custodio et al., “Ecological Risk due to Heavy Metal Contamination in Sediment and Water of Natural Wetlands with Tourist Influence in the Central Region of Peru,” Water, vol. 13, no. 16, p. 2256, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Asmae El Mezouari, Aziz El Fazziki, and Mohammed Sadgal, “Smart Irrigation System,” IFAC-Papers Online, vol. 55, no. 10, pp. 3298–3303, 2022.
[CrossRef] [Publisher Link]
[6] Jens Breckling, The Analysis of Directional Time Series: Applications to Wind Speed and Direction, Lecture Notes in Statistics, Springer-Verlag Berlin Heidelberg, vol. 61, 1989.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Nugroho Adi Pramono et al., “Application of Arduino Programming Using ML8511 UV Sensor Hookup Guide to Learning the Effect of Ultraviolet’s Level,” Journal of Disruptive Learning Innovation, vol. 2, no. 1, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Sakshi Lahabar, Ajinkya Barapatre, and Lokesh Heda, “IOT - Powered Smart Photovoltaic Charge Controller,” SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 1, pp. 219-225, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Salgado José Alberto Fernandes et al., “Design and Experimental Validation of a Compact LowCost Weather Station for Solar Photovoltaic Applications,” EAI Endorsed Transactions on Energy Web, vol. 8, no. 34, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[10] M. Anisha et al., “Arduino-based Low-Cost Greenhouse Monitoring System for Small Scale Farmers,” Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), pp. 1120-1127, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] T. Godhavari et al., "An Intelligent System for Monitoring Various Parameters in Irrigation System using IoT," SSRG International Journal of Electrical and Electronics Engineering, vol. 9, no. 12, pp. 120-125, 2022.
[CrossRef] [Publisher Link]
[12] Alem Huayta Uribe et al., “Nursery with Automation and Control Systems to Produce White Chuño (Tunta),” IEEE International IOT, Electronics and Mechatronics Conference, pp. 1-5, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[13] C. T. Kalaivani et al., “Environmental Monitoring and Control System for Greenhouse with Node MCU and GSM Using IoT Devices,” 8th International Conference on Smart Structures and Systems, pp. 1-4, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Namrata P. Mohanty et al., “Cultivation of Cash Crops under Automated Greenhouse using Internet of Things (IoT),” International Conference on Communication and Signal Processing, pp. 235-239, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Kamweru Paul Kuria, Owino Ochieng Robinson, and Mutinda Mutava Gabriel, “Monitoring Temperature and Humidity using Arduino Nano and Module-DHT11 Sensor with Real Time DS3231 Data Logger and LCD Display,” International Journal Of Engineering Research & Technology, vol. 9, no. 12, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Rajendra Akhil Kumar et al., "Crop Monitoring using Visual Sensors and IOT," SSRG International Journal of Electronics and Communication Engineering, vol. 4, no. 4, pp. 42-47, 2017.
[CrossRef][Publisher Link]
[17] M. Hafizuddin et al., "Development of UV Monitoring System Using Metal Oxide-Based Sensor," 8th International Conference on Mechatronics Engineering, pp. 120-124, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Murry Raditya et al., "Schematics Monitoring System Temperature, PH and Turbidity Based on LORA (Long Range) to Improve the Quality of the Harvest,” 3rd International Conference on Research and Academic Community Services, pp. 7-11, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Ruby Jon M. Kagalingan, Bernard Piolo M. Tolentino, and Jessie Jaye R. Balbin, “Aiding Plant Growth Difference for Indoor Vertical Garden against Traditional Outdoor Vertical Garden Setup using DHT11 and Capacitive Soil Moisture Sensor,” IEEE International Conference on Automatic Control and Intelligent Systems, pp. 96-101, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Levente Manases, and Daniel Zinca, “Automation of Network Traffic Monitoring using Docker images of Snort3, Grafana and a Custom API,” 21st RoEduNet Conference: Networking in Education and Research (RoEduNet), pp. 1-4, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Matsobane K Mahomela et al., “Self-Diagnostic Vital Sign Monitoring System,” International Conference on Electrical, Computer, Communications and Mechatronics Engineering, pp. 1-6, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Yuliya Zatsarinnaya, Denis Amirov, and Maksim Elaev, “Solar Panel Cleaning System Based on the Arduino Microcontroller,” Ural Smart Energy Conference, pp. 17-20, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Anshu Behera, and Prakash S. Kulkarni, “Smart Temperature-Dependent Cooling of Solar Panel using Arduino,” 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing, pp. 1-6, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Seok-Oh Yun et al., “Flexible pH Sensor and System Fabricated using PET Film,” IEEE Sensors, pp. 1-3, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Chenglang Li et al., “A Design of Batch Electronic Thermometers Automatic Verification System Based on LabVIEW,” IEEE 11th Conference on Industrial Electronics and Applications, pp. 1365-1368, 2016.
[CrossRef] [Google Scholar] [Publisher Link]