Optimized ReXNet variants with spatial pyramid pooling, CoordAttention, and convolutional block attention module for money plant disease detection

Optimized ReXNet variants with spatial pyramid pooling, CoordAttention, and convolutional block attention module for money plant disease detection

Abstract Money plants, widely appreciated for their ornamental appeal and air-purifying capabilities, are susceptible to several diseases most notably Bacterial Wilt Disease and Manganese Toxicity—that can significantly impact their vitality and aesthetic value. This study explores the effectiveness...

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Bibliographic Details
Main Authors: Parul Nasra, Jaibir Singh, Suman Rani, Gunjan Shandilya, Salil Bharany, Sandeep Sood, Ateeq Ur Rehman, Seada Hussen
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Sustainability
Subjects:
Money plant disease detection
ReXNet
Convolutional neural network (CNN)
Deep learning (DL)
CoordAttention
Spatial pyramid pooling (SPP)
Online Access:https://doi.org/10.1007/s43621-025-01241-6
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https://doi.org/10.1007/s43621-025-01241-6

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