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.
|Title of host publication||Proceedings of International Conference on Data Science and Applications, ICDSA 2021|
|Editors||Mukesh Saraswat, Sarbani Roy, Chandreyee Chowdhury, Amir H. Gandomi|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||17|
|State||Published - 2022|
|Event||2nd International Conference on Data Science and Applications, ICDSA 2021 - Virtual, Online|
Duration: 10 Apr 2021 → 11 Apr 2021
|Name||Lecture Notes in Networks and Systems|
|Conference||2nd International Conference on Data Science and Applications, ICDSA 2021|
|Period||10/04/21 → 11/04/21|
Bibliographical noteFunding Information:
Thanks to the Micaela Bastidas National University of Apurímac for supporting the financing for the execution of this project, which was the winner of the III contest of basic and applied research projects for teachers with the funding of mining canon.
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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