Predicting the Cattle Production Parameters Through Deep Learning Approach: A Review

Harshitha M. Nayak, E. Naresh, S. V.N. Murthy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The requirement of image processing is very much required on the present world. Almost in every field it has a huge application. Detecting and recognizing the face is one of the most trending image processing systems as it is mostly used for the authentication process to identify specific person etc. Along with face detection now-a-days understanding emotions also plays a vital role. These all processing's are not only required in humans but also in animals in order to understand the emotions of them. In this paper, we have endured through various technical papers which have different methods or algorithms used for detecting and recognizing the face and also for detecting the emotions. These reviews helped us in finding the best algorithm in deep learning perception for cattle face detection and recognition and also understanding the emotions so that we can improve the production parameters of cattle which include production of milk, good yield in agricultural land etc.

Original languageEnglish
Title of host publicationProceedings of CONECCT 2021
Subtitle of host publication7th IEEE International Conference on Electronics, Computing and Communication Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665428491
DOIs
Publication statusPublished - 2021
Event7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021 - Bangalore, India
Duration: 09-07-202111-07-2021

Publication series

NameProceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies

Conference

Conference7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021
Country/TerritoryIndia
CityBangalore
Period09-07-2111-07-21

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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