&lt;i&gt;In vitro&lt;/i&gt; Micropropagation of &lt;i&gt;Bergenia ligulata&lt;/i&gt; (Hook. f. &amp; Thomson) Engl. through Leaf Explant

Rani, Sapna; Puri, Rajeev K.; Qasim, Abul; Boora, P.; Angmo, Dechan

doi:10.3329/jsr.v15i1.59313

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…Rani et al [113] developed an operative method for in vitro micropropagation of Berginia ligulate consuming various concentrations of growth regulators. The results of this protocol can benefit commercial growers and contribute to the preservation of rare and endangered medicinal plants.…”

Section: Survey Based On Other Leaf Diseasesmentioning

confidence: 99%

“…Although marvelous performance is attained using deep convolutional neural networks, there exist various research challenges [102][103][104][105][106][107][108][109][110][111][112][113]. The following points illustrate various issues and challenges during leaf disease detection through CNN: - As CNNs might be made up of tens or several layers, each layer additionally incorporates a large number of neurons; what number of layers and what number of neurons are ideal at last?…”

Section: Issues and Challengesmentioning

confidence: 99%

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Classification of Image-Based Wheat Leaf Diseases using Deep Learning Approach: A Survey

Sharma,

Sethi

2023

J. Sci. Res.

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This paper focuses on detecting leaf diseases in wheat plants from the beginning to the end of the plant's life cycle. It highlights the best techniques for detecting various types of wheat leaf diseases and emphasizes the use of computer vision, image processing, and machine learning. The main focus is on classifying these diseases through deep convolutional neural networks, a popular image recognition and classification approach. The paper reviews various techniques for classifying image-based wheat leaf diseases, including spot blotch, stripe rust, brown rust, and powdery mildew. The paper aims to summarize the state-of-the-art techniques for detecting wheat leaf diseases.

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Section: Survey Based On Other Leaf Diseasesmentioning

confidence: 99%

Section: Issues and Challengesmentioning

confidence: 99%

Classification of Image-Based Wheat Leaf Diseases using Deep Learning Approach: A Survey

Sharma,

Sethi

2023

J. Sci. Res.

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In vitro propagation of Bergenia stracheyi: an alternative approach for higher production of valuable bioactive compounds

Amin,

Sharma,

Sultan

et al. 2024

Vegetos

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An update on biotechnological intervention mediated by plant tissue culture to boost secondary metabolite production in medicinal and aromatic plants

Prashant,

Bhawana

2024

Physiologia Plantarum

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Since prehistoric times, medicinal and aromatic plants (MAPs) have been employed for various therapeutic purposes due to their varied array of pharmaceutically relevant bioactive compounds, i.e. secondary metabolites. However, when secondary metabolites are isolated directly from MAPs, there is occasionally very poor yield and limited synthesis of secondary metabolites from particular tissues and certain developmental stages. Moreover, many MAPs species are in danger of extinction, especially those used in pharmaceuticals, as their natural populations are under pressure from overharvesting due to the excess demand for plant‐based herbal remedies. The extensive use of these metabolites in a number of industrial and pharmaceutical industries has prompted a call for more research into increasing the output via optimization of large‐scale production using plant tissue culture techniques. The potential of plant cells as sources of secondary metabolites can be exploited through a combination of product recovery technology research, targeted metabolite production, and in vitro culture establishment. The plant tissue culture approach provides low‐cost, sustainable, continuous, and viable secondary metabolite production that is not affected by geographic or climatic factors. This study covers recent advancements in the induction of medicinally relevant metabolites, as well as the conservation and propagation of plants by advanced tissue culture technologies.

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<i>In vitro</i> Micropropagation of <i>Bergenia ligulata</i> (Hook. f. & Thomson) Engl. through Leaf Explant

Cited by 3 publications

References 26 publications

Classification of Image-Based Wheat Leaf Diseases using Deep Learning Approach: A Survey

Classification of Image-Based Wheat Leaf Diseases using Deep Learning Approach: A Survey

In vitro propagation of Bergenia stracheyi: an alternative approach for higher production of valuable bioactive compounds

An update on biotechnological intervention mediated by plant tissue culture to boost secondary metabolite production in medicinal and aromatic plants

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