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Applied Sciences
Volume 13
Issue 18
10.3390/app131810522
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Article

A Data Analytic Monitoring with IoT System of the Reproductive Conditions of the Red Worm as a Product Diversification Strategy

by
Karla Yohana Sánchez-Mojica
1,
Luis Asunción Pérez-Domínguez
2,*,
Julián Gutiérrez Londoño
1 and
Darwin Orlando Cardozo Sarmiento
3
1
Facultad de Ingeniería, Corporación Universitaria Iberoamericana, Bogotá 110231, Colombia
2
Departamento de Ingeniería Industrial y Manufactura, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez 32210, Chihuahua, Mexico
3
Unidad de Investigaciones, Fundación de Estudios Superiores Comfanorte, Cúcuta 540005, Norte de Santander, Colombia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(18), 10522; https://doi.org/10.3390/app131810522
Submission received: 7 May 2023 / Revised: 16 August 2023 / Accepted: 21 August 2023 / Published: 21 September 2023
(This article belongs to the Special Issue Scalable Distributed Systems Based on Intelligent IoTs)
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Abstract

The Internet of Things (IoT) is becoming increasingly important due to the ability to collect data in real time and monitor the performance of systems. In this sense, the objective of the project is to create an IoT system to monitor and enhance red boll worm farming conditions in California as part of a strategy to diversify annelid-based goods. Therefore, the goal is to expand this animal’s productivity so that additional items can be made from California red worms. Furthermore, the method used implies a research design that uses an experimental approach to obtain data based on the variable conditions identified in the literature review. The analysis of the data will allow determination of the factors that result in optimization of production, and at the same time creation of a production estimation in the network platform. Finally, this project proposes to facilitate the monitoring and control of the variables that interfere in the earthworm reproduction process to increase the production of annelids in pursuit of product diversification. In addition, we put it into practice in real life to demonstrate its applicability and efficacy. In this mode, the results indicate potential findings about IoT application in agriculture situations.
Keywords: California red worms; Internet of Things (IoT); smart agriculture; IT technologies; vermiculture; TODIM California red worms; Internet of Things (IoT); smart agriculture; IT technologies; vermiculture; TODIM

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MDPI and ACS Style

Sánchez-Mojica, K.Y.; Pérez-Domínguez, L.A.; Gutiérrez Londoño, J.; Cardozo Sarmiento, D.O. A Data Analytic Monitoring with IoT System of the Reproductive Conditions of the Red Worm as a Product Diversification Strategy. Appl. Sci. 2023, 13, 10522. https://doi.org/10.3390/app131810522

AMA Style

Sánchez-Mojica KY, Pérez-Domínguez LA, Gutiérrez Londoño J, Cardozo Sarmiento DO. A Data Analytic Monitoring with IoT System of the Reproductive Conditions of the Red Worm as a Product Diversification Strategy. Applied Sciences. 2023; 13(18):10522. https://doi.org/10.3390/app131810522

Chicago/Turabian Style

Sánchez-Mojica, Karla Yohana, Luis Asunción Pérez-Domínguez, Julián Gutiérrez Londoño, and Darwin Orlando Cardozo Sarmiento. 2023. "A Data Analytic Monitoring with IoT System of the Reproductive Conditions of the Red Worm as a Product Diversification Strategy" Applied Sciences 13, no. 18: 10522. https://doi.org/10.3390/app131810522

APA Style

Sánchez-Mojica, K. Y., Pérez-Domínguez, L. A., Gutiérrez Londoño, J., & Cardozo Sarmiento, D. O. (2023). A Data Analytic Monitoring with IoT System of the Reproductive Conditions of the Red Worm as a Product Diversification Strategy. Applied Sciences, 13(18), 10522. https://doi.org/10.3390/app131810522

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