LIME visualizations for the 3Conv3Dense model, providing insight into its prediction process.

LIME visualizations for the 3Conv3Dense model, providing insight into its prediction process.

<p>The highlighted regions indicate the key visual features that contributed most to the weight estimation. The visualizations show the model consistently focusing on anatomically relevant areas, such as the rib cage and abdomen.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Md Junayed Hossain (22615268) (author)
مؤلفون آخرون: Jannatul Ferdaus (22140270) (author), Ashraful Islam (1283403) (author), M. Ashraful Amin (22615271) (author)
منشور في: 2025
الموضوعات:
Sociology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
precise feature extraction
mean absolute error
less accurate predictions
error case analysis
demonstrates superior accuracy
input data quality
effective farm management
pretrained efficientnetb3 model
model significantly surpasses
traditional manual methods
associated weight data
livestock weight estimation
explainable cnn framework
traditional regression models
traditional methods
weight estimation
image data
linear regression
framework designed
effective approach
weight prediction
cattle weight
yolov5 algorithm
study emphasizes
results show
recent advances
random forest
provide insights
productivity optimization
one variation
mse ),
making process
low mae
including normalization
histogram equalization
health assessment
first leveraged
face challenges
especially cnn
deep learning
custom cnn
conventional models
computer vision
cnn models
cnn ).
cattle images
based approach
85 kg
02 kg
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