Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)

Hydroponic NFT-Based Indoor Farming of Red and Green Lettuce Microgreens in Response to Artificial Lighting

Authors
Alifa N. K. Sinaga1, Aryanis M. Zahra1, *, Evita Nugroho1, Hari K. Simatupang1, Novita D. Pitaloka1, Hertiyana N. Annisa1, Muhammad F. R. Pahlawan1
1Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia
*Corresponding author. Email: aryanismutiazahra@ugm.ac.id
Corresponding Author
Aryanis M. Zahra
Available Online 22 May 2023.
DOI
10.2991/978-94-6463-122-7_59How to use a DOI?
Keywords
Plant factory; Hydroponic; Artificial Lighting; Indoor Farming; Lettuce Microgreens; NFT-based
Abstract

The plant factory controls temperature, lighting, plant nutrients, and other environmental factors to provide a consistent, plant-friendly environment for predictable yields. In addition, microgreens can be grown profitably in expensive urban plant factories in a short harvest period. This study uses hydroponics with artificial lighting in the form of a Light-Emitting Diode (LED) with different ratios of lux and Photosynthetic Photon Flux Density (PPFD), i.e., 100 lx and 44.26 mol∙m−2∙s−1 PPFD for 100% blue; 600 lx and 20.32 mol∙m−2∙s−1 PPFD for 100% red; 1000 lx and 95.92 mol∙m−2∙s−1 PPFD for 100% white, with maintained 25–27 ℃ of temperature and 70–80% of relative humidity. Microgreens of red and green lettuce were watered once a day with 250 ppm of plant nutrients using a commercial AB mixture and liquid organic fertilizer. The LED light, plant nutrient, and lettuce variety utilized in this study significantly affected the plant height, color parameters of L*, a, and b, and chlorophyll content of SPAD chlorophyll, chlorophyll a, chlorophyll b, and total chlorophyll content seven days after planting, as determined by the three-way MANOVA and Duncan test. A PCA model with two PCs has 88.0% of the explained variables for a comprehensive analysis of the LED data's variability.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
Series
Advances in Biological Sciences Research
Publication Date
22 May 2023
ISBN
10.2991/978-94-6463-122-7_59
ISSN
2468-5747
DOI
10.2991/978-94-6463-122-7_59How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Alifa N. K. Sinaga
AU  - Aryanis M. Zahra
AU  - Evita Nugroho
AU  - Hari K. Simatupang
AU  - Novita D. Pitaloka
AU  - Hertiyana N. Annisa
AU  - Muhammad F. R. Pahlawan
PY  - 2023
DA  - 2023/05/22
TI  - Hydroponic NFT-Based Indoor Farming of Red and Green Lettuce Microgreens in Response to Artificial Lighting
BT  - Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
PB  - Atlantis Press
SP  - 625
EP  - 634
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-122-7_59
DO  - 10.2991/978-94-6463-122-7_59
ID  - Sinaga2023
ER  -