Author(s): Manoj Kumar Reddy Mittapalli

Abstract: Now a days many farmers have adopted various means in the context of good farming practices to ensure the health of their livestock in good condition and healthy. Failure to ensure the health of livestock would cause to the death of animals and lead to decreased in productivity. Conventional methods by incorporating livestock data information on paper is a huge waste of time and not safe, therefore not effective for a good farming practiced. Hence, the electronic-based livestock management systems are needed to help farmers and livestock veterinary to share information for the purpose of early prevention of dangerous diseases from infected their livestock. In this project, the extensively use of Machine Learning algorithms for livestock health management in the preparation of animal dataset has created a fast and efficient method. In current practice, even though the Machine Learning systems in animal rearing is not a new approach, but this project has successfully demonstrated the effectiveness of Machine Learning technology comes to solve daily problems on farms.

DOI: 10.33545/27076636.2020.v1.i2a.14

Pages: 29-31 | Views: 1742 | Downloads: 1346

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