CNN-Based Image Classification of Silkworm for Early Prediction of Diseases

The need to automate the disease identification processes is frequent because manual identification is time-consuming and needs professional skills to be performed; hence, it may improve effectiveness and precision.

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Published
2025-12-25
DOI
https://doi.org/10.3390/cmsf2025012014
Primary Topic
Silkworms and Sericulture Research
Type
article
Field-Weighted Citation Impact
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article

CNN-Based Image Classification of Silkworm for Early Prediction of Diseases

Priyanka Paygude, Shwetambari Chiwhane, Kajal Mungase
Silkworms and Sericulture Research
article

CNN-Based Image Classification of Silkworm for Early Prediction of Diseases

Priyanka Paygude, Shwetambari Chiwhane, Kajal Mungase
article en

Abstract

The need to automate the disease identification processes is frequent because manual identification is time-consuming and needs professional skills to be performed; hence, it may improve effectiveness and precision.

Symbiosis International University (IN), Bharati Vidyapeeth (Deemed to be University) (IN)
Zero hunger
Openalex Percentile: Top 30%
Silkworms and Sericulture Research
DOIOpen Access PDFOpenAlex
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CNN-Based Image Classification of Silkworm for Early Prediction of Diseases — Priyanka Paygude, Shwetambari Chiwhane, et al. · (2025) | TGRS Research Map | TGRS