Use of machine learning and IoT for monitoring and tracking of livestock

Use of machine learning and IoT for monitoring and tracking of livestock

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Aunindita, Rudaba Farhin, Misbah, Muhammed Shiam, Joy, Sibbir Bin, Rahman, Md. Ashikur, Mahabub, Sad Ibn
Άλλοι συγγραφείς:	Mukta, Jannatun Noor
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Livestock monitoring IoT THI Wi-Fi module Decision Tree Classifier SVM Machine learning Livestock > Handling
Διαθέσιμο Online:	http://hdl.handle.net/10361/21807

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The activities of accounts and finance department of the dairy and livestock program of SOJAG
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Forecasting electricity demand of Bangladesh and its relation with physical and natural variables using group method of data handling model
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Statistical report: Rural Development Programme (RDP) and Rural Credit Project (RCP), December 1990
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Assessing the impact of ERP module in recruitment process to make the functionality of an organization more efficient
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Implementation of Li-Fi based home automation system
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