A research on plants for in-situ vitrification of contaminated soils

Paolone, Mario; Berti, R.; Nucci, C.A.; Roda, Giovanni Camera; Rossi, Paola; Bruzzi, Luigi; Bazzi, Aziz Ollah

doi:10.1109/ptc.2003.1304759

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Researchers [18][19][20] devised a CNN-based plant identification tool called CNN codes to collect bottleneck features. Finally, SVM was used to train these CNN codes for classification.…”

Section: Literature Surveymentioning

confidence: 99%

Advanced Medicinal Plant Classification and Bioactivity Identification Based on Dense Net Architecture

Pukhrambam,

Sahayadhas

2022

IJACSA

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Plant species identification helps a wide range of stakeholders, including forestry services, botanists, taxonomists, physicians and pharmaceutical laboratories, endangered species organizations, the government, and the general public. As a result, there has been a spike in interest in developing automated plant species recognition systems. Using computer vision and deep learning approaches, this work proposes a fully automated system for finding medical plants. As a result, work is being done to classify the correct therapeutic plants based on their images. A training data set contains image data; this work uses the Indian Medicinal Plants, Photochemistry, and Therapeutics (IMPPAT) benchmark dataset. Convolutional Neural Network (CNN) with DenseNet algorithm is a classification system for medicinal plants that explains how they work and what they're efficient. This study also suggests a standard dataset for medicinal plants that can be found in various parts of Manipur, India's northwest coast state. On the IMPPAT dataset, the suggested DenseNet model has a recognition rate of 99.56% and on the Manipuri dataset; it has a recognition rate of 98.51%, suggesting that the DenseNet method is a promising technique for smart forestry.

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“…Researchers [18][19][20] devised a CNN-based plant identification tool called CNN codes to collect bottleneck features. Finally, SVM was used to train these CNN codes for classification.…”

Section: Literature Surveymentioning

confidence: 99%

Advanced Medicinal Plant Classification and Bioactivity Identification Based on Dense Net Architecture

Pukhrambam,

Sahayadhas

2022

IJACSA

View full text Add to dashboard Cite

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“…3). The average power supplied was 450 kW resulting in mean current of about 300 A (Paolone et al, 2003). The electrodes were moveable and could be lowered by a motor during the process as the underlying soil melted and the maximum penetration depth into the soil was 120 cm (Fig.…”

Section: Description Of the In-field Scale Plantmentioning

confidence: 99%

In-field remediation of tons of heavy metal-rich waste by Joule heating vitrification

Dellisanti

Rossi

Valdrè

2009

International Journal of Mineral Processing

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Effects of Soil Contamination on the Selection of Remediation Method

Kisić

Handbook of Research on Advancements in Environmental Engineering

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Soil is a thin (up to 50cm) loose top layer of the Earth's surface, located between the lithosphere and atmosphere. Total available land area on Earth is limited, and the soil is extremely important, and in one generation it is a non-renewable natural resource. Unfortunately, nowadays the soil is, next to water, one of the most endangered natural resources. Among the many processes of soil damage, which is not being addressed at this point, is the growing importance placed on soil contamination. Contaminated soil is the soil in which human or natural activity has increased the content of harmful substances whose concentrations may be harmful to human activity, that is, for the production of plants or animals.

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A research on plants for in-situ vitrification of contaminated soils

Cited by 3 publications

References 2 publications

Advanced Medicinal Plant Classification and Bioactivity Identification Based on Dense Net Architecture

Advanced Medicinal Plant Classification and Bioactivity Identification Based on Dense Net Architecture

In-field remediation of tons of heavy metal-rich waste by Joule heating vitrification

Effects of Soil Contamination on the Selection of Remediation Method

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