A Comparison of Cultivation Techniques NFT-I, FR and Soil: An IoT Monitoring Approach

Manuel J. Ibarra, Edgar W. Alcarraz, Olivia Tapia, Yalmar Ponce, Hugo D. Calderon-Vilca, Carlos R. Quispe

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Hydroponics is an agricultural method where plants grow with water and mineral nutrient solutions. For a good production of vegetables, it is essential to keep within an optimal range the values of the variables that influence growth: temperature, pH, electrical conductivity and frequency of irrigation. This article compares three cultivation sub-systems NFT-I, FR and Soil. Additionally, it describes the IoT computing for monitoring the principal variables: temperature, pH, electrical conductivity and frequency of irrigation. This prototype allows notifying the farmer about the current status of each variable through Telegram social network and a Web site. The methodology was as follows: start planting the same day in the three sub-systems, controlling the values of the variables obtained by the sensors, and notifying the farmer when the values exceed the established limits, then the weight, the number of leaves, length and width were measured. The results have shown that this system can reduce electricity consumption by 97.9%, furthermore, use green computing approach with solar panel energy supply. Finally, lettuce production was good, and in terms of weight, the number of leaves, length and width, followed the relationship FR > NFT-I > Soil.

Idioma originalInglés
Título de la publicación alojadaProceedings of International Conference on Data Science and Applications, ICDSA 2021
EditoresMukesh Saraswat, Sarbani Roy, Chandreyee Chowdhury, Amir H. Gandomi
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas331-347
Número de páginas17
ISBN (versión impresa)9789811651199
DOI
EstadoPublicada - 2022
Evento2nd International Conference on Data Science and Applications, ICDSA 2021 - Virtual, Online
Duración: 10 abr. 202111 abr. 2021

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen288
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia2nd International Conference on Data Science and Applications, ICDSA 2021
CiudadVirtual, Online
Período10/04/2111/04/21

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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