Abstract
In 2016, Ecuador produced 368,181 tons of shrimp Penaeus vannamei and ex-ported 370,780 tons corresponding to $ 2.58 billion, according to ProEcuador (Institute for Export and Investment Promotion). The shrimp exportation represented 22.76% of the country’s non-oil exports. The Ecuadorian shrimp industry invests in technology focused on improving the production of shrimp and the quality of the postlarvae aiming to avoid falls in production, high mortality rates and disparity in the size of shrimp. However, it is necessary that this industry adopts innovative technologies that allow it to improve the quality and production of its products. In this sense, this work presents a case study where a water monitoring system was implemented in a shrimp culture pond of the CAMASIG S.A. company. This system integrates technologies such as Cloud computing, Arduino-based devices, and mobile applications that allow users to remotely monitor a shrimp culture pond, as well as to receive alerts when an out-of-range water parameter (pH, temperature, and dissolved oxygen) is detected. This last module consists of a set of sensors that allows collecting data about the pH, temperature, and dissolved oxygen in the water. This system was evaluated to test its effectiveness in terms of the size, weight, and the percentage of survival of the shrimp achieved when the shrimp culture pond is monitored by this system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Campos-Montes, G.R., Montaldo, H.H., Martínez-Ortega, A., Jiménez, A.M., Castillo-Juárez, H.: Genetic parameters for growth and survival traits in Pacific white shrimp Penaeus (Litopenaeus) vannamei from a nucleus population undergoing a two-stage selection program. Aquac. Int. 21, 299–310 (2013)
Schwartz, B., Baca, A.: Wearables and apps – modern diagnostic frameworks for health promotion through sport. Dtsch. Z. Sportmed. 2016, 131–136 (2016)
Haghi, M., Thurow, K., Stoll, R.: Wearable devices in medical internet of things: scientific research and commercially available devices. Healthc. Inform. Res. 23, 4 (2017)
Ozanne, A., Johansson, D., Hällgren Graneheim, U., Malmgren, K., Bergquist, F., Alt Murphy, M.: Wearables in epilepsy and Parkinson’s disease-a focus group study. Acta Neurol. Scand. 137, 188–194 (2018)
Universities, C.: Technology’s past, present and future role in education. Autumn 41–43 (2017)
Virtual Reality Society: Understanding Sensors: Magnetometers, Accelerometers and Gyroscopes - Virtual Reality
Gómez-Chabla, R., Aguirre-Munizaga, M., Samaniego-Cobo, T., Choez, J., Vera-Lucio, N.: A reference framework for empowering the creation of projects with Arduino in the Ecuadorian Universities. In: Communications in Computer and Information Science (2017)
Domínguez-Aragón, A., Olmedo-Martínez, J.A., Zaragoza-Contreras, E.A.: Colorimetric sensor based on a poly(ortho-phenylenediamine-co-aniline) copolymer for the monitoring of tilapia (Orechromis niloticus) freshness. Sens. Actuators B Chem. 259, 170–176 (2018)
Viseur, R.: From open source software to open source hardware. 378, 286–291 (2012)
Taylor, P., Gayar, O.F., El-gayar, O.F.: The use of information technology in aquaculture management. Aquac. Econ. Manag. 37–41 (2008)
Sun, E., Zhang, X., Li, Z.: The internet of things (IOT) and cloud computing (CC) based tailings dam monitoring and pre-alarm system in mines. Saf. Sci. 50, 811–815 (2012)
Sendra, S., Parra, L., Lloret, J., Llario, F.: Smart wireless sensor network to detect and protect sheep and goats to wolf attacks. Recent Adv. Commun. Netw. Technol. 2, 91–101 (2013)
Wu, H., Aoki, A., Arimoto, T., Nakano, T., Ohnuki, H., Murata, M., Ren, H., Endo, H.: Fish stress become visible: a new attempt to use biosensor for real-time monitoring fish stress. Biosens. Bioelectron. 67, 503–510 (2015)
Hibi, K., Hatanaka, K., Takase, M., Ren, H., Endo, H.: Wireless biosensor system for real-time l-lactic acid monitoring in fish. Sensors (Switzerland) 12, 6269–6281 (2012)
Quality, W., Monitoring, I., Shrimp, F.O.R., Open, U., Hardware, S., Systems, F.I.: Camaronicultura por medio de un hardware de acceso. Biotecnia 45–49 (2016)
Cortez, G.D.: Design of an automated system for administration of food in culture tilapia. Investigatio 1, 33–65 (2014)
Abdelsalam, M., Krishnan, R., Sandhu, R.: Clustering-based IaaS cloud monitoring. In: 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), pp. 672–679. IEEE (2017)
Bhaskar, R.K., Anslow, C., Brosz, J., Maurer, F.: Developing usable APIs with XP and cognitive dimensions. In: 2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp. 101–105. IEEE (2016)
Carbajal-Hernández, J.J., Sánchez-Fernández, L.P., Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F.: Immediate water quality assessment in shrimp culture using fuzzy inference systems. Expert Syst. Appl. 39, 10571–10582 (2012)
Urban, J.: Colormetric experiments on aquatic organisms. In: Rojas, I., Ortuño, F. (eds.) IWBBIO 2017. LNCS, vol. 10208, pp. 96–107. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56148-6_8
Xu, Z., Boyd, C.E.: Reducing the monitoring parameters of fish pond water quality. Aquaculture 465, 359–366 (2016)
Costanzo, A.: An Arduino based system provided with GPS/GPRS shield for real time monitoring of traffic flows. In: AICT 2013 - 7th International Conference on Application of Information and Communication Technologies, Conference Proceedings (2013)
Szydlo, T., Nawrocki, P., Brzoza-Woch, R., Zielinski, K.: Power aware MOM for telemetry-oriented applications using GPRS-enabled embedded devices – levee monitoring use case. In: 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014 (2014)
Al Harrasi, A., Onsy, A., Fragaki, K.: Remotely operated solar panel automated cleaning system. In: Joint Conference: MFPT 2015 and ISA’s 61st International Instrumentation Symposium - Technology Evolution: Sensors to Systems for Failure Prevention (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Gómez-Chabla, R., Real-Avilés, K., Delgado-Vera, C., Chávez, C., Vera-Lucio, N. (2018). Monitoring System for Shrimp Farming: A Case Study of CAMASIG S.A.. In: Valencia-García, R., Alcaraz-Mármol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2018. Communications in Computer and Information Science, vol 883. Springer, Cham. https://doi.org/10.1007/978-3-030-00940-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-00940-3_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00939-7
Online ISBN: 978-3-030-00940-3
eBook Packages: Computer ScienceComputer Science (R0)