An Advanced LSTM Framework for Pest Detection and Classification in Agricultural Settings

According to this, an innovative system to classify pest is proposed based on LSTM networks, taking into consideration the increased challenges in agricultural pest management. Crop productivity, especially in regions dependent on agriculture for their livelihood, can, however, be threatened by pest...

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Bibliographic Details
Main Authors: Bhoi Manjulata, Sharma Priti
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2025/07/shsconf_iciaites2025_01032.pdf
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