Exploring machine learning techniques for symptom-based detection of livestock diseases

Exploring machine learning techniques for symptom-based detection of livestock diseases

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Bibliografiske detaljer
Main Authors:	Niloy, Mahir Ahmed, Bhowmik, Tanmay, Abedin, Jennifer, Ferdous, Syeda Jannatul, Jahan, Ishrat
Andre forfattere:	Noor, Jannatun
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Livestock disease Disease detection Neural network Ensemble model Gradient boosting classifier Machine learning Neural networks (Computer science). Livestock > Diseases. Deep learning.
Online adgang:	http://hdl.handle.net/10361/24268

Lignende værker

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Livestock resources in Bangladesh : present status and future potential /
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Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
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