Exploring the landscape of controlled environment agriculture research: A systematic scoping review of trends and topics

Dsouza, Ajwal; Newman, Lenore; Graham, Thomas; Fraser, Evan D. G.

doi:10.1016/j.agsy.2023.103673

Cited by 21 publications

(5 citation statements)

References 87 publications

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“…Smart indoor agriculture has recently attracted significant attention thanks to its ability to produce high-quality crops using fewer resources [ 17 ]. Artificial grow lights represent the key component of indoor agriculture; they play the critical role of providing light energy needed by plants for their growth and development processes [ 28 , 29 ]. Nevertheless, controlling the grow lights manually can be imprecise, time-consuming, and laborious, especially in large production facilities containing multiple products in different developmental stages.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient IoT-Based Light Control System in Smart Indoor Agriculture

Hadj Abdelkader,

Bouzebiba,

Pena

et al. 2023

Sensors

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Indoor agriculture is emerging as a promising approach for increasing the efficiency and sustainability of agri-food production processes. It is currently evolving from a small-scale horticultural practice to a large-scale industry as a response to the increasing demand. This led to the appearance of plant factories where agri-food production is automated and continuous and the plant environment is fully controlled. While plant factories improve the productivity and sustainability of the process, they suffer from high energy consumption and the difficulty of providing the ideal environment for plants. As a small step to address these limitations, in this article we propose to use internet of things (IoT) technologies and automatic control algorithms to construct an energy-efficient remote control architecture for grow lights monitoring in indoor farming. The proposed architecture consists of using a master–slave device configuration in which the slave devices are used to control the local light conditions in growth chambers while the master device is used to monitor the plant factory through wireless communication with the slave devices. The devices all together make a 6LoWPAN network in which the RPL protocol is used to manage data transfer. This allows for the precise and centralized control of the growth conditions and the real-time monitoring of plants. The proposed control architecture can be associated with a decision support system to improve yields and quality at low costs. The developed method is evaluated in emulation software (Contiki-NG v4.7),its scalability to the case of large-scale production facilities is tested, and the obtained results are presented and discussed. The proposed approach is promising in dealing with control, cost, and scalability issues and can contribute to making smart indoor agriculture more effective and sustainable.

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Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient IoT-Based Light Control System in Smart Indoor Agriculture

Hadj Abdelkader,

Bouzebiba,

Pena

et al. 2023

Sensors

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“…Over the years, the demand for highquality to matoes has led to the development and implementa tion of controlled cultivation methods in greenhouses, growth rooms or vertical farms with regulated envi ronments -the socalled controlled environment ag riculture (CEA) (Dsouza et al 2023). These indoor methods aim to optimize growth conditions, improve crop productivity, and enhance fruit quality through the precise manipulation of various environmental factors, including temperature, humidity, light, carbon dioxide (CO 2 ) level, and nutrient availability (Sotelo Cardona et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Light spectrum affects growth, metabolite profile, and resistance against fungal phytopathogens of Solanum lycopersicum L. seedlings

Tymoszuk,

Kulus,

Kowalska

et al. 2024

Journal of Plant Protection Research

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Tomato is a widely cultivated and economically important crop worldwide. This study aimed to test the effect of light spectra used in indoor cultivation on the growth, biochemical profile, and resistance of Solanum lycopersicum ‘Bawole Serce’ seedlings against Alternaria alternata, Alternaria solani and Botrytis cinerea. During the phase of first leaf emergence, the seedlings were transferred to a semi-sterile growth room with a controlled environment (20°C, 18-h photoperiod, 50 μmol · m−2 · s−1 PPFD, 65% RH) for a 3-week cultivation period. Five light treatments differing in red/blue (R/B) light ratio were tested: I (LED tube; R/B 5.55), II (fluorescent tube; R/B 0.72), III (fluorescent tube; R/B 1.19), IV (LED panel; R/B 0.51), V (LED panel; R/B 0.20). The best parameters in terms of shoot length, shoot fresh and dry weights, and number of leaves were obtained in treatment I, in contrast to IV and V. Plants from treatments IV and V had the smallest leaf area, perimeter, vertical length, and horizontal width. As for the root system, the highest fresh weight, area, length of the longest root, total length, and the number of root tips and forks were found in treatments I and II. The least developed root systems were observed in IV and V. The greatest chlorophyll, carotenoids and anthocyanins accumulation was enhanced by treatment II. Treatments I−III stimulated the biosynthesis of phenolic compounds. The highest superoxide dismutase activity was detected in plants from treatments I and II. As for A. alternata and A. solani, the level of disease symptoms was significantly higher for treatments IV and V than for I-III. The highest/lowest level of B. cinerea infection was found in treatments II/I, respectively. The least susceptible to infection by all tested pathogens were leaves from treatment I. Light spectrum composition is of practical importance for tomato seedling production.

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“…Moreover, CEA is promising for the high reproducibility and quality of plant-based products. CEA facilities can operate year-round regardless of seasonal variations in the weather conditions; consistent plant access to water, nutrients, and light promotes uniform growth and minimizes variability in plant characteristics [24]; and the enclosed environments in CEA provide protection against pests and diseases [25], minimizing the risk of crop damage and contamination of PDEN preparations.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Genotype and Controlled Environment Cultivation Parameters on Tomato-Leaf-Derived Exosome-like Nanoparticle Yield and Properties

Viršilė,

Samuolienė,

Laužikė

et al. 2024

Horticulturae

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Horticultural plant material offers several advantages for isolating exosomes and other natural plant-derived exosome-like nanoparticles (PDENs) due to the accessibility and affordability of plant material for widespread applications. This study aims to explore the impacts of the tomato genotype (‘Admiro’, ‘Roma’, ‘Brooklyn’, ‘Marmande’ and ‘Betalux’) and the main cultivation parameters in controlled environment agriculture on the yield and properties of their PDENs for pharmaceutical and cosmeceutical applications. The PDEN yield, size distribution, and antioxidative properties of young tomato seedlings were evaluated. The ‘Betalux’ tomato was distinguished by a remarkably higher nanoparticle concentration and a uniform size distribution and was selected for further experiments. The impact of cultivation temperature (18, 22, and 26 °C), nitrogen nutrition (0, 250, and 500 mg L−1), and the lighting photosynthetic photon flux density (PPFD; 150, 250, and 450 µmol m−2 s−1) on nanoparticle properties was investigated. Optimal conditions consisting of a temperature of 22 °C, 250 mg L−1 nitrogen nutrition, and 250 µmol m−2 s−1 lighting PPFD were used as a reference. Optimal temperature, nitrogen nutrition, and lighting intensity resulted in the highest nanoparticle yield, the most uniform particle distribution, and the highest impact of PDEN preparations on keratinocyte metabolic activity. Deviation from optimal cultivation conditions reduced the tomato biomass and the PDEN protein and yield.

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Exploring the landscape of controlled environment agriculture research: A systematic scoping review of trends and topics

Cited by 21 publications

References 87 publications

Energy-Efficient IoT-Based Light Control System in Smart Indoor Agriculture

Energy-Efficient IoT-Based Light Control System in Smart Indoor Agriculture

Light spectrum affects growth, metabolite profile, and resistance against fungal phytopathogens of Solanum lycopersicum L. seedlings

The Impact of Genotype and Controlled Environment Cultivation Parameters on Tomato-Leaf-Derived Exosome-like Nanoparticle Yield and Properties

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