IMPACT OF LIGHT INTENSITY AND LUMINAIRE TYPE ON BASIL YIELD: INSIGHTS FROM A HYDROPONIC URBAN AGRICULTURE SYSTEM

This study investigates the impact of different artificial lighting systems on the growth and yield of basil (Ocimum basilicum L.) within a controlled hydroponic environment. Aimed at comparing the effectiveness of several luminaire types, the research is identifying the optimal lighting conditions that enhance plant growth and productivity in an urban agriculture setting. The experiment was conducted in a 40" HQ shipping container using a Nutrient Film Technique (NFT) system. Basil plants were grown under five different luminaire types (A, B, C, D, E) at varying light intensities (200, 230, 250, 260, and 275 μmol/m²/s) with 3 repetitions. Plant growth parameters, including weight, green plant part length, and total yield per square meter, were measured from 11 plants per growth board (55 plants in each test) after a cultivation period of 27 days post-transplantation. The findings demonstrated significant variations in plant yield and growth characteristics across the different lighting setups. Luminaire C consistently provided the highest yields, particularly at the 260 μmol/m²/s intensity, suggesting its lighting configuration offers optimal conditions for basil production. In contrast, Luminaires D and B showed lower yields, indicating less favourable growth environments under their specific lighting conditions. Statistical analysis revealed that there were observable trends in yield enhancement under specific lamps. Additionally, the study highlighted variations in plant uniformity. In terms of plant uniformity, the standard deviations in length and weight were lowest under Luminaire B, emphasizing its potential for producing uniform crops, a crucial factor in commercial horticulture. The study underscores the critical role of selecting appropriate lighting technologies to maximize plant growth in controlled environment agriculture. By identifying the most effective luminaire types and light intensities, the research contributes valuable insights toward optimizing urban agricultural practices and enhancing the sustainability of food production systems.

Authors

Institutions

Publication Details

Journal
Environment Technology Resources Proceedings of the International Scientific and Practical Conference
Published
2025-06-08
DOI
https://doi.org/10.17770/etr2025vol4.8399
Citations
1
Primary Topic
Innovations in Aquaponics and Hydroponics Systems
Type
article
Field-Weighted Citation Impact
2.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IMPACT OF LIGHT INTENSITY AND LUMINAIRE TYPE ON BASIL YIELD: INSIGHTS FROM A HYDROPONIC URBAN AGRICULTURE SYSTEM

Linda Valkovska, Ansis Avotiņš, Anta Sparinska, Martins Marcinkevics et al.
1 citations
Environment Technology Resources Proceedings of the International Scientific and Practical Conference
Innovations in Aquaponics and Hydroponics Systems
2.27
article

IMPACT OF LIGHT INTENSITY AND LUMINAIRE TYPE ON BASIL YIELD: INSIGHTS FROM A HYDROPONIC URBAN AGRICULTURE SYSTEM

Linda Valkovska, Ansis Avotiņš, Anta Sparinska, Martins Marcinkevics, Amélie Canon, Olivier Dal Zuffo
article en
1 citations

Abstract

This study investigates the impact of different artificial lighting systems on the growth and yield of basil (Ocimum basilicum L.) within a controlled hydroponic environment. Aimed at comparing the effectiveness of several luminaire types, the research is identifying the optimal lighting conditions that enhance plant growth and productivity in an urban agriculture setting. The experiment was conducted in a 40" HQ shipping container using a Nutrient Film Technique (NFT) system. Basil plants were grown under five different luminaire types (A, B, C, D, E) at varying light intensities (200, 230, 250, 260, and 275 μmol/m²/s) with 3 repetitions. Plant growth parameters, including weight, green plant part length, and total yield per square meter, were measured from 11 plants per growth board (55 plants in each test) after a cultivation period of 27 days post-transplantation. The findings demonstrated significant variations in plant yield and growth characteristics across the different lighting setups. Luminaire C consistently provided the highest yields, particularly at the 260 μmol/m²/s intensity, suggesting its lighting configuration offers optimal conditions for basil production. In contrast, Luminaires D and B showed lower yields, indicating less favourable growth environments under their specific lighting conditions. Statistical analysis revealed that there were observable trends in yield enhancement under specific lamps. Additionally, the study highlighted variations in plant uniformity. In terms of plant uniformity, the standard deviations in length and weight were lowest under Luminaire B, emphasizing its potential for producing uniform crops, a crucial factor in commercial horticulture. The study underscores the critical role of selecting appropriate lighting technologies to maximize plant growth in controlled environment agriculture. By identifying the most effective luminaire types and light intensities, the research contributes valuable insights toward optimizing urban agricultural practices and enhancing the sustainability of food production systems.

Environment Technology Resources Proceedings of the International Scientific and Practical ConferenceVol. 4
Riga Technical University (LV), Kinderkrankenhaus auf der Bult (DE), Russian State University for Physical Education Sport Youth and Tourism (RU), Hydrogenics (Belgium) (BE)
Openalex Percentile: Top 12%
Innovations in Aquaponics and Hydroponics Systems
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.