Error case analysis using LIME visualization on cattle’s weight prediction.

<p>Error case analysis using LIME visualization on cattle’s weight prediction.</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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