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Title: :  Cattle disease identification using Prediction Techniques
PaperId: :  14670
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14670
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sai Trinath Y Dayananda Sagar Academy of Technology and Management
Noone Vijay KishanDayananda Sagar Academy of Technology and Management
Sangamesha VDayananda Sagar Academy of Technology and Management
Sandeep Kavalur Dayananda Sagar Academy of Technology and Management

Abstract

Computer Science Engineering
IOT, Data Mining, dairies, health monitoring system, healthcare, economy
As one of the earlier methods of occupation, non-industrial nations such as India, Bangladesh, Nepal and a lot more have dairy farming. Dairy farm automation plays a major role in the expansion of productivity in dairy production. Cattle animals are prone to many diseases, some of which can decrease productivity and lower the quality of dairy products and, if not identified at an early stage, can also contribute to the death of cattle, which is greatly impeded by the sustainable development of the national economy.

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IJARIIE Sai Trinath Y, Noone Vijay Kishan, Sangamesha V, and Sandeep Kavalur. "Cattle disease identification using Prediction Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 2764-2770
MLA Sai Trinath Y, Noone Vijay Kishan, Sangamesha V, and Sandeep Kavalur. "Cattle disease identification using Prediction Techniques." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 2764-2770.
APA Sai Trinath Y, Noone Vijay Kishan, Sangamesha V, & Sandeep Kavalur. (2021). Cattle disease identification using Prediction Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 2764-2770.
Chicago Sai Trinath Y, Noone Vijay Kishan, Sangamesha V, and Sandeep Kavalur. "Cattle disease identification using Prediction Techniques." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 2764-2770.
Oxford Sai Trinath Y, Noone Vijay Kishan, Sangamesha V, and Sandeep Kavalur. 'Cattle disease identification using Prediction Techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 2764-2770. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Cattle_disease_identification_using_Prediction_Techniques_ijariie14670.pdf (Accessed : ).
Harvard Sai Trinath Y, Noone Vijay Kishan, Sangamesha V, and Sandeep Kavalur. (2021) 'Cattle disease identification using Prediction Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 2764-2770IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Cattle_disease_identification_using_Prediction_Techniques_ijariie14670.pdf (Accessed : )
IEEE Sai Trinath Y, Noone Vijay Kishan, Sangamesha V, and Sandeep Kavalur, "Cattle disease identification using Prediction Techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 2764-2770, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Cattle_disease_identification_using_Prediction_Techniques_ijariie14670.pdf [Accessed : ].
Turabian Sai Trinath Y, Noone Vijay Kishan, Sangamesha V, and Sandeep Kavalur. "Cattle disease identification using Prediction Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 ().
Vancouver Sai Trinath Y, Noone Vijay Kishan, Sangamesha V, and Sandeep Kavalur. Cattle disease identification using Prediction Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(3) : 2764-2770. Available from: https://ijariie.com/AdminUploadPdf/Cattle_disease_identification_using_Prediction_Techniques_ijariie14670.pdf
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