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Research Article |

Sustainability of precision agriculture as a proposal for the development of autonomous crops using IoT

Author(s): Pablo Catota, Cesar Minaya, Jenny Alexandra Guzmán Acurio, Efrén Damián Alban Andrade and Ricardo Rosero

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 1

Publisher : FOREX Publication

Published : 26 February 2024

e-ISSN : 2347-470X

Page(s) : 146-153

DOI: https://doi.org/10.37391/IJEER.120121

Abstract

Agricultural activities have experienced a significant increase due to population growth; hence, the demand for food has risen to the point where prioritizing greater efficiency and quality in crop production within a short period is crucial. This paper addresses the contemporary need to design prototypes focused on optimizing natural resources, specifically in the agricultural sector, where recurring wastage of water, fertilizers, and pesticides is evident. This research proposes a comprehensive prototype incorporating a monitoring and control system managed through the IoT Arduino Cloud platform using an ESP32 development board to improve resource management from the initial germination stages to harvest. The planting phase is based on a 3D printer mechanism with three-dimensional movements controlled. The monitoring system includes real-time visualization of variables such as temperature, soil humidity, and electrical magnitudes, as well as the automation of the irrigation and fertilization system. In this regard, the results demonstrated efficient resource management in cultivation. Additionally, the photovoltaic system contributes to a more sustainable and efficient management approach.

Keywords: Cultivation, Germination, Population growth, Statistical analysis, Internet of things.




Pablo Catota, Instituto Tecnológico Superior Rumiñahui ; Email: pablo.catota@ister.edu.ec

Cesar Minaya*, Instituto Tecnológico Superior Rumiñahui; Email: cesar.minaya@ister.edu.ec

Jenny Alexandra Guzmán Acurio, Instituto Superior Tecnológico Ciudad de Valencia; Email: jennyguzman@itscv.edu.ec

Efrén Damián Alban Andrade, Instituto Superior Tecnológico Ciudad de Valencia; Email: efren.alban@ister.edu.ec

Ricardo Rosero, Instituto Tecnológico Superior Rumiñahui; Email: ricardo.rosero@ister.edu.ec

    [1] U. Shafi, R. Mumtaz, J. García-Nieto, S. A. Hassan, S. A. R. Zaidi, y N. Iqbal, Precision Agriculture Techniques and Practices: From Considerations to Applications, Sensors, vol. 19, n.o 17, p. 3796, sep. 2019, doi: 10.3390/s19173796. [CrossRef]
    [2] A. Ribeiro y J. Conesa-Muñoz, Multi-robot Systems for Precision Agriculture, en Innovation in Agricultural Robotics for Precision Agriculture, A. Bechar, Ed., en Progress in Precision Agriculture. , Cham: Springer International Publishing, 2021, pp. 151-175. doi: 10.1007/978-3-030-77036-5_7. [CrossRef]
    [3] A. D. Coelho, B. G. Dias, W. De Oliveira Assis, F. De Almeida Martins, y R. C. Pires, Monitoring of Soil Moisture and Atmospheric Sensors with Internet of Things (IoT) Applied in Precision Agriculture, en 2020 XIV Technologies Applied to Electronics Teaching Conference (TAEE), Porto, Portugal: IEEE, jul. 2020, pp. 1-8. doi: 10.1109/TAEE46915.2020.9163766. [CrossRef]
    [4] R. Akhter y S. A. Sofi, Precision agriculture using IoT data analytics and machine learning, J. King Saud Univ. - Comput. Inf. Sci., vol. 34, n.o 8, pp. 5602-5618, sep. 2022, doi: 10.1016/j.jksuci.2021.05.013. [CrossRef]
    [5] V. Thomopoulos, D. Bitas, K.-N. Papastavros, D. Tsipianitis, y A. Kavga, Development of an Integrated IoT-Based Greenhouse Control Three-Device Robotic System, Agronomy, vol. 11, n.o 2, p. 405, feb. 2021, doi: 10.3390/agronomy11020405. [CrossRef]
    [6] S. Monteleone et al., Exploring the Adoption of Precision Agriculture for Irrigation in the Context of Agriculture 4.0: The Key Role of Internet of Things, Sensors, vol. 20, n.o 24, p. 7091, dic. 2020, doi: 10.3390/s20247091. [CrossRef]
    [7] M. San Emeterio De La Parte, J.-F. Martínez-Ortega, V. Hernández Díaz, y N. L. Martínez, Big Data and precision agriculture: a novel spatio-temporal semantic IoT data management framework for improved interoperability, J. Big Data, vol. 10, n.o 1, p. 52, abr. 2023, doi: 10.1186/s40537-023-00729-0. [CrossRef]
    [8] Y. Bhojwani, R. Singh, R. Reddy, y B. Perumal, Crop Selection and IoT Based Monitoring System for Precision Agriculture, en 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India: IEEE, feb. 2020, pp. 1-11. doi: 10.1109/ic-ETITE47903.2020.123. [CrossRef]
    [9] K. Anil Kumar, Aju. D, y School of Computer Science and Engineering, VIT, Vellore, TN, 632006, India, An Internet of Thing based Agribot (IOT- Agribot) for Precision Agriculture and Farm Monitoring, Int. J. Educ. Manag. Eng., vol. 10, n.o 4, pp. 33-39, ago. 2020, doi: 10.5815/ijeme.2020.04.04. [CrossRef]
    [10] K. S. Krishnan et al., Self-Automated Agriculture System using IoT, Int. J. Recent Technol. Eng. IJRTE, vol. 8, n.o 6, pp. 758-762, mar. 2020, doi: 10.35940/ijrte.F7264.038620.
    [11] Ž. Kavaliauskas, I. Šajev, G. Gecevičius, y V. Čapas, Intelligent Control of Mushroom Growing Conditions Using an Electronic System for Monitoring and Maintaining Environmental Parameters, Appl. Sci., vol. 12, n.o 24, Art. n.o 24, ene. 2022, doi: 10.3390/app122413040. [CrossRef]
    [12] K. Toriyama, Development of precision agriculture and ICT application thereof to manage spatial variability of crop growth, Soil Sci. Plant Nutr., vol. 66, n.o 6, pp. 811-819, nov. 2020, doi: 10.1080/00380768.2020.1791675. [CrossRef]
    [13] K. Bakthavatchalam et al., oT Framework for Measurement and Precision Agriculture: Predicting the Crop Using Machine Learning Algorithms, 2022.
    [14] C. Murugamani et al., Machine Learning Technique for Precision Agriculture Applications in 5G-Based Internet of Things, Wirel. Commun. Mob. Comput., vol. 2022, pp. 1-11, jun. 2022, doi: 10.1155/2022/6534238. [CrossRef]
    [15] I. Beloev, D. Kinaneva, G. Georgiev, G. Hristov, y P. Zahariev, Artificial Intelligence-Driven Autonomous Robot for Precision Agriculture, Acta Technol. Agric., vol. 24, n.o 1, pp. 48-54, mar. 2021, doi: 10.2478/ata-2021-0008. [CrossRef]
    [16] S. J. LeVoir, P. A. Farley, T. Sun, y C. Xu, High-Accuracy Adaptive Low-Cost Location Sensing Subsystems for Autonomous Rover in Precision Agriculture, IEEE Open J. Ind. Appl., vol. 1, pp. 74-94, 2020, doi: 10.1109/OJIA.2020.3015253. [CrossRef]
    [17] S. Atalla et al., IoT-Enabled Precision Agriculture: Developing an Ecosystem for Optimized Crop Management, Information, vol. 14, n.o 4, p. 205, mar. 2023, doi: 10.3390/info14040205. [CrossRef]
    [18] T. A. Khoa, M. M. Man, T.-Y. Nguyen, V. Nguyen, y N. H. Nam, Smart Agriculture Using IoT Multi-Sensors: A Novel Watering Management System, J. Sens. Actuator Netw., vol. 8, n.o 3, Art. n.o 3, sep. 2019, doi: 10.3390/jsan8030045. [CrossRef]
    [19] P. Sanjeevi, S. Prasanna, B. Siva Kumar, G. Gunasekaran, I. Alagiri, y R. Vijay Anand, Precision agriculture and farming using Internet of Things based on wireless sensor network, Trans. Emerg. Telecommun. Technol., vol. 31, n.o 12, p. e3978, dic. 2020, doi: 10.1002/ett.3978. [CrossRef]
    [20] V. Križanović, K. Grgić, J. Spišić, y D. Žagar, An Advanced Energy-Efficient Environmental Monitoring in Precision Agriculture Using Lora-Based Wireless Sensor Networks, Engineering, preprint, jun. 2023. doi: 10.20944/preprints202306.1057.v1. [CrossRef]
    [21] E. F. I. Raj, M. Appadurai, y K. Athiappan, Precision Farming in Modern Agriculture, en Smart Agriculture Automation Using Advanced Technologies, A. Choudhury, A. Biswas, T. P. Singh, y S. K. Ghosh, Eds., en Transactions on Computer Systems and Networks. , Singapore: Springer Singapore, 2021, pp. 61-87. doi: 10.1007/978-981-16-6124-2_4. [CrossRef]
    [22] H. N. Saha, R. Roy, M. Chakraborty, y C. Sarkar, Development of IoT‐Based Smart Security and Monitoring Devices for Agriculture, en Agricultural Informatics, 1.a ed., A. Choudhury, A. Biswas, M. Prateek, y A. Chakrabarti, Eds., Wiley, 2021, pp. 147-169. doi: 10.1002/9781119769231.ch8. [CrossRef]
    [23] V. V, R. A. C, V. S. R. R, A. K. P, S. M. R, y S. B. M, Implementation of IoT in Agriculture: A Scientific Approach for Smart Irrigation, en 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), oct. 2022, pp. 1-6. doi: 10.1109/MysuruCon55714.2022.9972734. [CrossRef]

Pablo Catota, Cesar Minaya, Jenny Alexandra Guzmán Acurio, Efrén Damián Alban Andrade and Ricardo Rosero (2024), Sustainability of precision agriculture as a proposal for the development of autonomous crops using IoT . IJEER 12(1), 146-153. DOI: 10.37391/IJEER.120121.