A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments

Optimizing light conditions in controlled-environment agriculture is critical for enhancing crop yield and energy efficiency, particularly in high-value crops like strawberries, where precise spectral tuning can significantly influence both vegetative growth and fruit production. In this study, a wi...

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Main Authors: Jun Zou, Zihan Wang, Haitong Huang, Xiaohua Huang, Mingming Shi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agronomy
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Online Access:https://www.mdpi.com/2073-4395/15/5/1130
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author Jun Zou
Zihan Wang
Haitong Huang
Xiaohua Huang
Mingming Shi
author_facet Jun Zou
Zihan Wang
Haitong Huang
Xiaohua Huang
Mingming Shi
author_sort Jun Zou
collection DOAJ
description Optimizing light conditions in controlled-environment agriculture is critical for enhancing crop yield and energy efficiency, particularly in high-value crops like strawberries, where precise spectral tuning can significantly influence both vegetative growth and fruit production. In this study, a windmill-style vertical farming system was developed to facilitate efficient strawberry cultivation under low-light conditions. A custom LED lighting fixture, measuring 3 m in length, was suspended 30 cm above the canopy to uniformly illuminate a planting zone of 3.0 m × 0.3 m. The lighting system, which combines red (655–665 nm) and full-spectrum white LEDs, was optimized using a particle swarm optimization (PSO) algorithm to enhance spatial light distribution. The uniformity of photosynthetic photon flux density (PPFD) improved from 71% to 85%, and the standard deviation decreased from 75 to 15. Under a 16 h optimized lighting regime, strawberry plants exhibited a 55% increase in height compared to the non-supplemented control group (Group D), a 40% increase in leaf width, and a 36% increase in fruit weight (69.76 g per plant) relative to the 12 h supplemental lighting group (Group A). The system operates at a fixture-level power consumption of just 160 W, with its spectral output aligned with the absorption characteristics of strawberry foliage and fruit. These results demonstrate that an algorithm-driven lighting layout can significantly enhance both vegetative and reproductive performance in vertical strawberry farming while maintaining high energy efficiency.
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spelling doaj-art-c3eb97336a05409c96d50df950d85abe2025-08-20T01:56:55ZengMDPI AGAgronomy2073-43952025-05-01155113010.3390/agronomy15051130A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled EnvironmentsJun Zou0Zihan Wang1Haitong Huang2Xiaohua Huang3Mingming Shi4College of Science, Shanghai Institute of Technology, No. 100, Haiquan Road, Fengxian District, Shanghai 201418, ChinaCollege of Science, Shanghai Institute of Technology, No. 100, Haiquan Road, Fengxian District, Shanghai 201418, ChinaCollege of Science, Shanghai Institute of Technology, No. 100, Haiquan Road, Fengxian District, Shanghai 201418, ChinaCollege of Science, Shanghai Institute of Technology, No. 100, Haiquan Road, Fengxian District, Shanghai 201418, ChinaCollege of Science, Shanghai Institute of Technology, No. 100, Haiquan Road, Fengxian District, Shanghai 201418, ChinaOptimizing light conditions in controlled-environment agriculture is critical for enhancing crop yield and energy efficiency, particularly in high-value crops like strawberries, where precise spectral tuning can significantly influence both vegetative growth and fruit production. In this study, a windmill-style vertical farming system was developed to facilitate efficient strawberry cultivation under low-light conditions. A custom LED lighting fixture, measuring 3 m in length, was suspended 30 cm above the canopy to uniformly illuminate a planting zone of 3.0 m × 0.3 m. The lighting system, which combines red (655–665 nm) and full-spectrum white LEDs, was optimized using a particle swarm optimization (PSO) algorithm to enhance spatial light distribution. The uniformity of photosynthetic photon flux density (PPFD) improved from 71% to 85%, and the standard deviation decreased from 75 to 15. Under a 16 h optimized lighting regime, strawberry plants exhibited a 55% increase in height compared to the non-supplemented control group (Group D), a 40% increase in leaf width, and a 36% increase in fruit weight (69.76 g per plant) relative to the 12 h supplemental lighting group (Group A). The system operates at a fixture-level power consumption of just 160 W, with its spectral output aligned with the absorption characteristics of strawberry foliage and fruit. These results demonstrate that an algorithm-driven lighting layout can significantly enhance both vegetative and reproductive performance in vertical strawberry farming while maintaining high energy efficiency.https://www.mdpi.com/2073-4395/15/5/1130particle swarm optimizationLED supplemental lightingvertical farmingstrawberry cultivationurban agriculturelight distribution uniformity
spellingShingle Jun Zou
Zihan Wang
Haitong Huang
Xiaohua Huang
Mingming Shi
A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments
Agronomy
particle swarm optimization
LED supplemental lighting
vertical farming
strawberry cultivation
urban agriculture
light distribution uniformity
title A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments
title_full A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments
title_fullStr A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments
title_full_unstemmed A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments
title_short A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments
title_sort low energy lighting strategy for high yield strawberry cultivation under controlled environments
topic particle swarm optimization
LED supplemental lighting
vertical farming
strawberry cultivation
urban agriculture
light distribution uniformity
url https://www.mdpi.com/2073-4395/15/5/1130
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