Computer Vision System for Early Detection of Sick Birds in a Poultry Farm Using Convolution Neural Network on Shape and Edge Information

The Computer Vision System for Early Detection of Sick Birds in a Poultry Farm Using Convolution Neural Network on Shape and Edge Information (PDF/DOC)

Chapter One

1.0 INTRODUCTION
This chapter introduces the Computer Vision System for Early Detection of Sick Birds in a Poultry Farm Using Convolution Neural Network on Shape and Edge Information and its relevance, states the research problems, research questions, and objectives, provides a background of the study, and should also include the research hypothesis.

Chapter Two

2.0 LITERATURE REVIEW
2.1 Introduction

The chapter presents a review of related literature that supports the current research on the Computer Vision System for Early Detection of Sick Birds in a Poultry Farm Using Convolution Neural Network on Shape and Edge Information, systematically identifying documents with relevant analyzed information to help the researcher understand existing knowledge, identify gaps, and outline research strategies, procedures, instruments, and their outcomes

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