A Comprehensive Study on Role of Environmental Factors on Sericulture and Silkworm Disease Detection Techniques

As environmental factors directly affect the health and production of silkworms, they must be monitored for sericulture to be successfully cultivated. In order to maximize sericulture conditions, this research paper provides a thorough examination of many monitoring strategies for variables including temperature, humidity, light, and air quality. The combination of Internet of Things (IoT) sensors and advanced techniques like as image processing and machine learning algorithms may be used to create a comprehensive system for real-time monitoring and management of sericulture settings. The proposed solutions increase sericulture operations' productivity and efficiency while also promoting ecologically responsible and sustainable farming practices. Based on the findings, both commercial and small-scale silk producers can benefit from the adoption of modern monitoring and disease detection technology, which can result in significant increases in the quantity and quality of silk produced.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/icmnwc63764.2024.10872288
Citations
1
Primary Topic
Silkworms and Sericulture Research
Type
article
Field-Weighted Citation Impact
0.54
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article

A Comprehensive Study on Role of Environmental Factors on Sericulture and Silkworm Disease Detection Techniques

Sandeep Kumar S, Usha Divakarla
1 citations
Silkworms and Sericulture Research
0.54
article

A Comprehensive Study on Role of Environmental Factors on Sericulture and Silkworm Disease Detection Techniques

Sandeep Kumar S, Usha Divakarla
article en
1 citations

Abstract

As environmental factors directly affect the health and production of silkworms, they must be monitored for sericulture to be successfully cultivated. In order to maximize sericulture conditions, this research paper provides a thorough examination of many monitoring strategies for variables including temperature, humidity, light, and air quality. The combination of Internet of Things (IoT) sensors and advanced techniques like as image processing and machine learning algorithms may be used to create a comprehensive system for real-time monitoring and management of sericulture settings. The proposed solutions increase sericulture operations' productivity and efficiency while also promoting ecologically responsible and sustainable farming practices. Based on the findings, both commercial and small-scale silk producers can benefit from the adoption of modern monitoring and disease detection technology, which can result in significant increases in the quantity and quality of silk produced.

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Openalex Percentile: Top 26%
Silkworms and Sericulture Research
0.54
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A Comprehensive Study on Role of Environmental Factors on Sericulture and Silkworm Disease Detection Techniques — Sandeep Kumar S, Usha Divakarla · (2024) | TGRS Research Map | TGRS