Abstract
This article is aimed to present a proposal for Architecture based on Precision Agriculture, using low-cost Internet of Things (IOT) technologies, which allows obtaining, storing, processing, and analyzing data in real time, facilitating the taking of decisions. This proposal is made up of a 4-stage architecture, the data capture layer, whose function is to obtain variables associated to cultivation and control of adequate levels of parameters such as soil moisture, this stage is evaluated with field tests, in order to determine the humidity control capacity, the storage layer, whose function is to save the information obtained from the sensors, the processing layer, structure the data obtained, the query layer, its function is to display the structured data in the form of graphs, where the user through a web or mobile application can access the information, which permits to carry out permanent monitoring, in the management of his agricultural crops to its automatic irrigation system.
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References
FAO Statistical Yearbook 2013: World food and agriculture. Food and Agriculture Organization of the United Nations, p. 307 (2013)
Sector agrario aporta 5.4% del PBI y emplea a más de 4 millones de peruanos. Andina Agencia Peruana de Noticias, p. 1, 11 Noviembre 2019
FAO Statistical Pocketbook 2019: World food and agriculture. Food and Agriculture Organization of the United Nations, p. 254 (2019)
Mosquera, G.C.A.: Mapas de Productividad como Herramienta para entender y gerenciar el Cultivo de Caña de Azúcar, Red de Agricultura de Precisión (2014)
InfoAgro Control Climatico en Invernaderos (2011)
Agricultura de Precisión. INCyTU Oficina de la Infomación Científica y tecnológica para el congreso de la Unión, no. 15, pp. 1–3 (2018)
Silva, C., Moraes, M., Molin, J.: Adoption and use of precision agriculture technologies in the sugarcane industry of São Paulo state, Brazil. Precis. Agric. 12(1), 67–81 (2010)
Bramley, R.: Lessons from nearly 20 years of Precision Agriculture research, development, and adoption as a guide to its appropriate application. Crop. Pasture Sci. 60(3), 197–217 (2009)
Martínez, O., Argüello, G.C., León, J., Cherres, P., Cujilema, G.: Prototype of automated irrigation system improves the yield of potatoes (Solanum tuberosum L.) in Riobamba-Ecuador using wireless network sensors-WSN and 6LoWPAN. MASKAY 6 (2019)
Quiroga Montoya, E.A., Jaramillo Colorado, S.F., Campo Muñoz, W.Y., Chanchí Golondrino, G.E.: Propuesta de una Arquitectura para Agricultura de Precisión Soportada en IOT. Revista lbérica de Sistemas e Tecnologias de Informação 24, 18 (2016)
Nuñez Arturo, D., Benavidez, E., Rodríguez, G., Salazar, D.: Propuesta de una plataforma de bajo costo basada en Internet de las Cosas para Agricultura Inteligente. Cumbres 6(1), 55–66 (2019)
Singh, N., Shaligram, A.D.: NPK measurement in soil and automatic soil fertilizer dispensing robot. Int. J. Eng. Res. Technol. (IJERT) 3, 635–637 (2014)
Marianah, M., Mohamad Syamim, A.R., Rosidah, S., Zuriati, J.: Detection of Nitrogen, Phosphorus, and Potassium (NPK) nutrients of soil using optical transducer. In: IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), no. 4 (2017)
Yang, Q., Baojun, Q.: A new concentration detection system. IEEE Sens. J. 18(9), 3806–3812 (2018)
McKinion, J.M., Jenkins, J.N., Akins, D., Turner, S.B., Willers, J.L., Jallas, E., Whisler, F.D.: Analysis of a precision agriculture approach to cotton production. Comput. Electron. Agric. 32, 213–228 (2001)
Bie, M.Y.: Effect of phase transition temperature and. Appl. Therm. Eng. 201, 218–227 (2018)
Wolfert, S., Goense, D., Sørensen, C.A.G.: A future internet collaboration platform for safe and healthy food from farm to fork. In: Proceedings of 2014 Annual SRII Global Conference, pp. 266–273 (2014)
Strobel, G.: Farming in the era of Internet of Things - an information system architecture for smart farming (2020)
Chebudie, A.B., Minerva, R., Rotondi, D.: Towards a definition of the Internet of Things (IoT). Int. J. Comput. Appl. (0975 8887), 10–11 (2015)
Gutierrez Leon, E., Montiel Arguijo, J.E., Carreto Arellano, C., Menchaca García, F.R.: Propuesta de sistema de gestión inteligente basado en IoT para hidroponia. Res. Comput. Sci. 148, 219–233 (2019)
Nesly Diana Castro, C., Luis Eduardo Chamorro, F., Carlos Andrés Viteri, M.: Una red de sensores inalámbricos para la automatización y control del riego localizado. Revista de Ciencias Agrícolas 33(2), 106–116 (2016)
Ossa Duque, S.I.: Monitoreo y control de variables ambientales mediante mediente una red inalámbrica para agricultura de precisión en invernaderos. Vector 12, 51–60 (2017)
Apaza, G.L., Blanco, C.L.: EVALUACIÓN DE LA UNIFORMIDAD DE UN SISTEMA PRESURIZADO DE RIEGO POR GOTEO PARA CULTIVOS DE ZONAS ALTO-ANDINAS DE BOLIVIA. Revista de Investigación e Innovación Agropecuaria y de Recursos Naturales 3, 7–17 (2016)
Kavitha, M., Srinivasan, R., Shashank Reddy, D., NagaHarshitha, C.: Precision agriculture using fog-edge computing. Int. J. Innov. Technol. Explor. Eng. (IJITEE) 8 (2019)
Antúnez B., A., Mora L., D., Felmer E., S.: EFICIENCIA EN SISTEMAS DE RIEGO POR GOTEO EN EL SECANO. INIA Tierra Adentro 40–42 (2010)
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Velarde Allazo, E., Acuña Melo, E., Aranibar Pumacota, J. (2021). Proposal for Architecture for Precision Agriculture Supported in IoT for an Efficient Automatic Irrigation System. In: Botto Tobar, M., Cruz, H., Díaz Cadena, A. (eds) Recent Advances in Electrical Engineering, Electronics and Energy. CIT 2020. Lecture Notes in Electrical Engineering, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-030-72208-1_3
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