Sensor-Based Nutrient Recirculation for Aeroponic Lettuce Cultivation

Chowdhury, M. A. H.; Islam, Nafiul; Reza, Nasim; Ali, Mohammod; Rasool, Kamal; Kiraga, Shafik; Lee, Dae-hyun; Chung, Soo Young

doi:10.1007/s42853-021-00089-8

Cited by 14 publications

(5 citation statements)

References 43 publications

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“…Moreover, there is a scarcity of information on how to adjust the dosage of fertilizers using the measured ion concentrations, despite efforts to predict concentrations through artificial intelligence ( Tuan et al., 2021 ). Until the latest researches, researchers have, for the most part, conducted fertilizer dosing calculations through simplex method, considering only limited ion scenarios ( Gieling et al., 2005 ; Jung et al., 2015 ; Xu et al., 2020 ; Chowdhury et al., 2021 ). Although the simplex method is a simple and powerful method for finding solutions with various combinations of nutrient salts, it may yield negative solutions.…”

Section: Discussionmentioning

confidence: 99%

Decision-tree-based ion-specific dosing algorithm for enhancing closed hydroponic efficiency and reducing carbon emissions

Cho,

Gang,

Kim

et al. 2023

Front. Plant Sci.

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The maintenance of ion balance in closed hydroponic solutions is essential to improve the crop quality and recycling efficiency of nutrient solutions. However, the absence of robust ion sensors for key ions such as P and Mg and the coupling of ions in fertilizer salts render it difficult to effectively manage ion-specific nutrient solutions. Although ion-specific dosing algorithms have been established, their effectiveness has been inadequately explored. In this study, a decision-tree-based dosing algorithm was developed to calculate the optimal volumes of individual nutrient stock solutions to be supplied for five major nutrient ions, i.e., NO3, K, Ca, P, and Mg, based on the concentrations of NO3, K, and Ca and remaining volume of the recycled nutrient solution. In the performance assessment based on five nutrient solution samples encompassing the typical concentration ranges for leafy vegetable cultivation, the ion-selective electrode array demonstrated feasible accuracies, with root mean square errors of 29.5, 10.1, and 6.1 mg·L-1 for NO3, K, and Ca, respectively. In a five-step replenishment test involving varying target concentrations and nutrient solution volumes, the system formulated nutrient solutions according to the specified targets, exhibiting average relative errors of 10.6 ± 8.0%, 7.9 ± 2.1%, 8.0 ± 11.0%, and 4.2 ± 3.7% for the Ca, K, and NO3 concentrations and volume of the nutrient solution, respectively. Furthermore, the decision tree method helped reduce the total fertilizer injections and carbon emissions by 12.8% and 20.6% in the stepwise test, respectively. The findings demonstrate that the decision-tree-based dosing algorithm not only enables more efficient reuse of nutrient solution compared to the existing simplex method but also confirms the potential for reducing carbon emissions, indicating the possibility of sustainable agricultural development.

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Section: Discussionmentioning

confidence: 99%

Decision-tree-based ion-specific dosing algorithm for enhancing closed hydroponic efficiency and reducing carbon emissions

Cho,

Gang,

Kim

et al. 2023

Front. Plant Sci.

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“…Furthermore, the nutrient-solution spray not only provides nourishment but also acts as a sterilizing agent, safeguarding the roots against diseases. Additionally, aeroponics maximizes the coverage of the root surface area, surpassing other hydroponic methods in this regard [43,45,52,53].…”

Section: Crop-cultivation Systemmentioning

confidence: 99%

“…Traditionally, farmers rely on visible symptoms in plants to identify nutrient deficiencies or toxicity, which only become apparent after extended periods of inadequate nutrition. Moreover, similar visible symptoms caused by different nutrient deficiencies can often lead to misdiagnosis and incorrect nutrient supplementation [52].…”

Section: Nutrient-sensing Systemsmentioning

confidence: 99%

Technological Trends and Engineering Issues on Vertical Farms: A Review

Kabir,

Reza,

Chowdhury

et al. 2023

Horticulturae

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Vertical farming has emerged as a promising solution to cope with increasing food demand, urbanization pressure, and limited resources and to ensure sustainable year-round urban agriculture. The aim of this review was to investigate the evolving technological landscape and engineering considerations, with a focus on innovative developments and future prospects. This paper presents technological trends in vertical farming, covering advances in sensing technologies, monitoring and control systems, and unmanned systems. It also highlights the growing role of artificial intelligence (AI) in contributing to data-driven decision-making and the optimization of vertical farms. A global perspective on vertical farming is presented, including the current status and advanced technological trends across regions like Asia, the USA, and Europe. Innovative concepts and upcoming enterprises that could shape the future of vertical agriculture are explored. Additionally, the challenges and future prospects of vertical farming are also addressed, focusing on crop production limitations, environmental sustainability, economic feasibility, and contributions to global food security. This review provides guidance on the state of vertical farming, technological advancements, global trends, challenges, and prospects, offering insights into the roles of researchers, practitioners, and policymakers in advancing sustainable vertical agriculture and food security.

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“…Nutrient recycling is important to achieve high resource use efficiency. Simple EC control of nutrient solution concentration would be sufficient for growing vegetables sustainably under recycled hydroponics (Bamsey et al, 2012 ; Jung et al, 2015 ; Chowdhury et al, 2021 ). As EC indicates the total ionic balance of solution, the specific mineral requirement of the plant is usually overlooked.…”

Section: Implications and Future Challenges Of Recycled Hydroponicsmentioning

confidence: 99%

Editorial: Nutrients Recycling in Hydroponics: Opportunities and Challenges Toward Sustainable Crop Production Under Controlled Environment Agriculture

2022

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Sensor-Based Nutrient Recirculation for Aeroponic Lettuce Cultivation

Cited by 14 publications

References 43 publications

Decision-tree-based ion-specific dosing algorithm for enhancing closed hydroponic efficiency and reducing carbon emissions

Decision-tree-based ion-specific dosing algorithm for enhancing closed hydroponic efficiency and reducing carbon emissions

Technological Trends and Engineering Issues on Vertical Farms: A Review

Editorial: Nutrients Recycling in Hydroponics: Opportunities and Challenges Toward Sustainable Crop Production Under Controlled Environment Agriculture

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