Estimation of Lettuce Growth Characteristics Under Different LED Light Intensities in a Closed-type Plant Factory

Cho, Byeong Hyo; Kang, Tae Hwan; Han, Chung Su; Lee, Jung Hyun; Lee, Dong Il; Noh, Hyun Kwon

doi:10.12972/kjhst.20180034

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…1A). However, a significant and progressive increase was observed over time, reaching a maximum of 1,753 cm 2 with 150 kg ha -1 N + 6 kg ha -1 Mg at 60 dat, and the treatments in general had a significant average value of 1,533 cm 2 , which is higher than the 902.3 cm 2 reported by Cho et al (2018) in 'Cheongchima' lettuce subjected to a light intensity of 200 μmol m -2 s -1 . It should be noted that one of the main functions of leaves is the interception of solar radiation to carry out the photosynthesis process, where a greater LA allows a greater absorption of radiation and thus achieve maximum physiological development (Frąszczak and Kula-Maximenko, 2021).…”

Section: Leaf Area (La) and Leaf Area Ratio (Lar)mentioning

confidence: 57%

“…In this regard, Liu et al (2014) stated that the application of 200 kg ha -1 N (0.39 g/plant) in lettuce saw a higher value than the dose of 400 kg ha -1 N (0.12 to 0.31 g/plant) and the control (0.14 g/ plant) in terms of accumulated dry biomass at 50 dat. Similarly, Cho et al (2018) reported that the dry mass at 20 dat reached values of 3.03 g/plant under light intensities of 200 μmol m -2 s -1 .…”

Section: Dry Biomassmentioning

confidence: 81%

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Growth and production of crisp lettuce (Lactuca sativa L.) using different doses of nitrogen and magnesium

Preciado-Mongui,

Reyes-Medina,

Romero-Barrera

et al. 2023

Rev. Colomb. Cienc. Hortic

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Lettuce is part of the group of leafy vegetables that sees high consumption worldwide. However, population increases have forced excessive increases in fertilization, raising N levels both in the water and the soil and leading to serious environmental problems. As a result, appropriate fertilization management must be carried out; therefore, this study aimed to determine the effect of nitrogen and magnesium on the growth and yield of crisp lettuce. A randomized complete block design was carried out with 10 treatments: a control plus nine treatments with a central compound and different combinations of nitrogen and magnesium doses. The variables leaf area ratio, SPAD chlorophyll index and relative growth rate decreased throughout the crop cycle. The application of 150 kg ha-1 of N + 18 kg ha-1 of Mg generated the highest production values and net assimilation rate. The response surface graph yielded a model with a maximum yield of 21 t ha-1 using fertilization with 93.8 kg ha-1 of nitrogen and 12.4 kg ha-1 of magnesium. The lower doses of both nitrogenous and magnesium fertilization showed the highest values of agronomic efficiency and partial productivity.

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Section: Leaf Area (La) and Leaf Area Ratio (Lar)mentioning

confidence: 57%

Section: Dry Biomassmentioning

confidence: 81%

Growth and production of crisp lettuce (Lactuca sativa L.) using different doses of nitrogen and magnesium

Preciado-Mongui,

Reyes-Medina,

Romero-Barrera

et al. 2023

Rev. Colomb. Cienc. Hortic

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“…The reflectance spectrum of 648-683 nm increased during the maturity process of the oriental melons, while the reflectance spectrum of 770-818 nm decreased. It is known that a reflectance spectrum of approximately 670 and 800 nm is related to the chlorophyll absorption of crops [44,45]. Thus, these changes are considered to be due to the progressive change in the color of the oriental melons from green to yellow.…”

Section: Hyperspectral Data and Vipmentioning

confidence: 99%

Determination of Internal Quality Indices in Oriental Melon Using Snapshot-Type Hyperspectral Image and Machine Learning Model

et al. 2022

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In this study, we aimed to develop a prediction model of the solid solutions concentration (SSC) and moisture content (MC) in oriental melon with snapshot-type hyperspectral imagery (Visible (VIS): 460–600 nm, 16 bands; Red-Near infrared (Red-NIR): 600–860 nm, 15 bands) using a machine learning model. The oriental melons were cultivated in a hydroponic greenhouse, Republic of Korea, and a total of 91 oriental melons that were harvested from March to April of 2022 were used as samples. The SSC and MC of the oriental melons were measured using destructive methods after taking hyperspectral imagery of the oriental melons. The reflectance spectrum obtained from the hyperspectral imagery was processed by the standard normal variate (SNV) method. Variable importance in projection (VIP) scores were used to select the bands related to SSC and MC. As a result, ten (609, 736, 561, 849, 818, 489, 754, 526, 683, and 597 nm) and six (609, 736, 561, 818, 849, and 489 nm) bands were selected for the SSC and MC, respectively. Four machine learning models, support vector regression (SVR), ridge regression (RR), K-nearest neighbors regression (K-NNR), and random forest regression (RFR), were used to develop models to predict SSC and MC, and their performances were compared. The SVR showed the best performance for predicting both the SSC and MC of the oriental melons. The SVR model achieved a relatively high accuracy with R2 values of 0.86 and 0.74 and RMSE values of 1.06 and 1.05 for SSC and MC, respectively. However, it will be necessary to carry out more experiments under various conditions, such as differing maturities of fruits and varying light sources and environments, to achieve more comprehensive predictions and apply them to monitoring robots in the future. Nevertheless, it is considered that the snapshot-type hyperspectral imagery aided by SVR would be a useful tool to predict the SSC and MC of oriental melon. In addition, if the maturity classification model for the oriental melon can be applied to fields, it could lead to less labor and result in high-quality oriental melon production.

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“…Lettuce (Lactuca sativa L.) is an important leafy vegetable because of its high production and consumption in Korea [1]. It is one of the most suitable crops for closed-type plant factory research [2], and growing lettuce in controlled closed environments is gaining popularity because it offers up to 100 times higher annual productivity than field growing [3].…”

Section: Introductionmentioning

confidence: 99%

Growth Characteristics of Lettuce Relative to Generation Position of Air Anions in a Closed-Type Plant Factory

et al. 2022

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(1) Background: We studied how the generation position of air anions in a closed-type plant factory affects the growth characteristics of lettuce and identified the optimal position. (2) Methods: We used LEDs (red/green/blue = 8:1:1) as a light source and set the temperature and RH of the plant factory to 20 ± 2 ℃ and 50% ± 5%, respectively. We grew lettuce under three air anion conditions—sideward, upward, and downward—and compared the growth characteristics to those of a control grown without air anions. We measured the growth characteristics of the lettuce at 3 and 4 weeks after sowing, and the measurement items were shoot fresh weight (FW) and dry weight (DW); leaf area (LA), length (LL), and width (LW); SPAD; antioxidant capacity; and total phenol content. (3) Results: At 4 weeks, FW in the downward treatment condition was 25.3% higher than in the control, and DW showed a similar difference. LA was about 1943.94 cm²/plant in the downward treatment condition, which was about 15.5% higher than in the control. (4) Conclusions: We conclude that air anion generation has a positive effect on lettuce growth, and the optimal generation position for air anions is downward.

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Estimation of Lettuce Growth Characteristics Under Different LED Light Intensities in a Closed-type Plant Factory

Abstract: This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cited by 5 publications

References 13 publications

Growth and production of crisp lettuce (Lactuca sativa L.) using different doses of nitrogen and magnesium

Growth and production of crisp lettuce (Lactuca sativa L.) using different doses of nitrogen and magnesium

Determination of Internal Quality Indices in Oriental Melon Using Snapshot-Type Hyperspectral Image and Machine Learning Model

Growth Characteristics of Lettuce Relative to Generation Position of Air Anions in a Closed-Type Plant Factory

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