Aviculture Oversight System

April 2024
Vol-10, Issue-2
Paper ID: 23037
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Record management Production analysis Flock Management Bird availability tracking Health status Feeding schedules Future production outcomes Bird populations breeding programs Advanced search
Abstract
The Aviculture Oversight System is a comprehensive web-based platform designed to streamline the management and analysis of aviculture operations. This system is specifically tailored to address the unique challenges and requirements of bird farms, encompassing a wide range of technical processes that are integral to the daily operations of these facilities. The primary objectives of the Aviculture Oversight System include the efficient handling of record management, the analysis of production data based on daily entries, and the facilitation of common aviculture processes such as flock registration and bird availability tracking. The system is designed to support the meticulous documentation and analysis of bird farming activities, ensuring that all relevant data is accurately recorded and easily accessible. This includes detailed records of bird species, their health status, feeding schedules, and environmental conditions. The system also provides tools for analyzing production data, allowing for the identification of trends, the optimization of farming practices, and the prediction of future production outcomes. Furthermore, the Aviculture Oversight System incorporates features for flock registration and management, enabling bird farmers to maintain up-to-date records of their bird populations. This includes the ability to track the availability of birds, manage breeding programs, and monitor the health and genetic diversity of the flocks. The system is equipped with advanced search and reporting capabilities, enabling users to generate detailed reports on various aspects of their aviculture operations.

Author Information

# Name Institute / Affiliation
1 Buvaneshwaran G Bannari Amman Institute of Technology
2 Mohammed Yameen S M Bannari Amman Institute of Technology
3 Rohith S Bannari Amman Institute of Technology
4 Harish Kumaar P Bannari Amman Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
G, Buvaneshwaran, M, Mohammed Yameen S, S, Rohith, & P, Harish Kumaar (2024). Aviculture Oversight System. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 2161-2167.
MLA Style
G, Buvaneshwaran, et al. "Aviculture Oversight System." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 2161-2167.
IEEE Style
Buvaneshwaran G, Mohammed Yameen S M, Rohith S, and Harish Kumaar P, "Aviculture Oversight System," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 2161-2167, 2024.
Vancouver Style
G Buvaneshwaran, M Mohammed Yameen S, S Rohith, P Harish Kumaar. Aviculture Oversight System. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):2161-2167.
Harvard Style
G, Buvaneshwaran, M, Mohammed Yameen S, S, Rohith, & P, Harish Kumaar (2024) 'Aviculture Oversight System', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 2161-2167.
Chicago Style
G, Buvaneshwaran, et al. "Aviculture Oversight System." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2161-2167.
Turabian Style
G, Buvaneshwaran, et al. "Aviculture Oversight System." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2161-2167.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable