Modeling the Dynamic Response of Plant Growth to Root Zone Temperature in Hydroponic Chili Pepper Plant Using Neural Networks

Aji, Galih Kusuma; Hatou, Kenji; Morimoto, Takeshi

doi:10.3390/agriculture10060234

Cited by 18 publications

(11 citation statements)

References 47 publications

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“…The different approaches in modeling and simulation exhibit the path that can generate a usual model at a particular temperature by evaluating all physical and chemical attributes based on the partition function amounts [ 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 ].…”

Section: Methodsmentioning

confidence: 99%

Structural and Functional Characterization of Medicinal Plants as Selective Antibodies towards Therapy of COVID-19 Symptoms

Mollaamin

2024

Antibodies

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Considering the COVID-19 pandemic, this research aims to investigate some herbs as probable therapies for this disease. Achillea millefolium (Yarrow), Alkanet, Rumex patientia (Patience dock), Dill, Tarragon, and sweet fennel, including some principal chemical compounds of achillin, alkannin, cuminaldehyde, dillapiole, estragole, and fenchone have been selected. The possible roles of these medicinal plants in COVID-19 treatment have been investigated through quantum sensing methods. The formation of hydrogen bonding between the principal substances selected in anti-COVID natural drugs and Tyr-Met-His (the database amino acids fragment), as the active area of the COVID protein, has been evaluated. The physical and chemical attributes of nuclear magnetic resonance, vibrational frequency, the highest occupied molecular orbital energy and the lowest unoccupied molecular orbital energy, partial charges, and spin density have been investigated using the DFT/TD-DFT method and 6-311+G (2d,p) basis set by the Gaussian 16 revision C.01 program toward the industry of drug design. This research has exhibited that there is relative agreement among the results that these medicinal plants could be efficient against COVID-19 symptoms.

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Section: Methodsmentioning

confidence: 99%

Structural and Functional Characterization of Medicinal Plants as Selective Antibodies towards Therapy of COVID-19 Symptoms

Mollaamin

2024

Antibodies

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“…The different approaches in modeling and simulation exhibit the path which can generate a usual model at a particular temperature by evaluating all physical and chemical attributes based on the partition function amounts [68][69][70][71][72][73][74][75][76] .…”

Section: Methodsmentioning

confidence: 99%

Characterizing the structural and physicochemical properties of medicinal plants as a proposal for treating of viral malady

Mollaamin

2023

Trends Immunother

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Regarding coronavirus disease (COVID-19) pandemic, this research article wants to study some herbals as the probable therapy for this disease. Cinnamon leaves, curcuma longa (turmeric), ginger, mentha pulegium (pennyroyal), rosemary, salvia divinorum and thyme including some principal chemical compounds of cynnamil, curcumin, gingerol, pulegone, rosmarinic acid, salvinorina A and thymol, respectively, as a probable anti COVID-19 receptor have been selected. The possible roles of these medicinal plants in COVID-19 treatment have been carried out through quantum sensing methods. Formation of hydrogen bonding between principal substances selected in COVID-19 natural drugs bound to Tyrosine-Methionine-Histidine (Tyr-Met-His) or (TMH) (the database amino acids fragment) as the active area of the COVID-19 protein has been evaluated. In fact, it has been exhibited the role of oxygen, nitrogen, and hydrogen atoms in the active sites of these anti-virus medications towards hydrogen bonding in the active site if “TMH” protein. The physical and chemical attributes of nuclear magnetic resonance, vibrational frequency, the highest occupied molecular orbital energy and the lowest unoccupied molecular orbital energy, partial charges and spin density and have been accomplished using density functional theory (DFT) method and 6-311+G (2d,p) basis set by Gaussian 16 revision C.01 program toward the industry of drug design. This research has exhibited that there is a relative agreement among the results that these medicinal plants could be efficient against COVID-19 symptoms.

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“…Where RST as ANN input can increase the growth of hydroponic chilies. The modeling used is to assist ANN-based systems in input-single-output (SISO) systems [55]. Research on nitrogen uptake in chicory plants has also been carried out using ANN.…”

Section: The Use Of Artificial Neural Network In Agricultural Plant G...mentioning

confidence: 99%

The Use of Artificial Neural Networks in Agricultural Plants

Susanti

Nofendra

Zaini

et al. 2023

AJEEET

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Artificial Neural Networks use high-performance computing and big data technology, opportunities for science to create new opportunities in agriculture. The purpose of writing this article is to analyze the use of artificial neural networks on (a) plant diseases based on plant leaf diseases, (b) plant pests, (c) growth or quality, and (d) agricultural products. The writing method used is a literature study of the research that has been done. The keywords used in the search for references include ANN, plant, diseases, pests, growth or quality, and agricultural products. Publishers for the reference in this article are ScienceDirect and IEEE. The years of publication of the references are restricted from 2015 to 2022. Based on the literature study results, it was concluded that Artificial Neural Networks' deep learning models are accurate for detecting and classifying leaf diseases and pests, detecting growth, and application to agricultural plant products.

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Modeling the Dynamic Response of Plant Growth to Root Zone Temperature in Hydroponic Chili Pepper Plant Using Neural Networks

Cited by 18 publications

References 47 publications

Structural and Functional Characterization of Medicinal Plants as Selective Antibodies towards Therapy of COVID-19 Symptoms

Structural and Functional Characterization of Medicinal Plants as Selective Antibodies towards Therapy of COVID-19 Symptoms

Characterizing the structural and physicochemical properties of medicinal plants as a proposal for treating of viral malady

The Use of Artificial Neural Networks in Agricultural Plants

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