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Hardware and Software System for Hydric Estimation and Crop Irrigation Scheduling

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Abstract

In hydroponic crops located in underdeveloped countries, the hydric estimation is usually done manually and empirically; however, based on tropical climate, the ideal factors regarding temperature and humidity for each plant can be different. Thus, hydric estimation must be different depending on the plants because it depends on the plants species, type of soil, variety in the diameter of the roots, among others. Therefore, the hydric estimation must be done plant by plant in order to achieve a right development of every plant in a desired crop. In this paper, we present an approach based on software and hardware components integration, which is able to calculate the crops evapotranspiration and to make hydric estimation based on the ideal factors of each plant and the experimental data collected from each species in order to minimize the use of water in irrigation processes and to ensure the right development of plans.

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Notes

  1. 1.

    https://nodejs.org/en/.

  2. 2.

    https://www.mongodb.com/.

  3. 3.

    https://vuejs.org/.

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Correspondence to Hector Florez .

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Daza, K., Hernandez, J., Florez, H. (2019). Hardware and Software System for Hydric Estimation and Crop Irrigation Scheduling. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11623. Springer, Cham. https://doi.org/10.1007/978-3-030-24308-1_13

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  • DOI: https://doi.org/10.1007/978-3-030-24308-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24307-4

  • Online ISBN: 978-3-030-24308-1

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