Society 5.0 and the Future of Emerging Computational Technologies

2  An In-Depth Analysis of Convolutional Neural Networks for Agricultural Purposes

Dr. Gurdit Singh and Er. Tanpreet Singh

DOI: 10.1201/9781003184140-2

CONTENTS

2.1 Introduction

2.2 Deep Learning

2.2.1 Role of Computer Vision in Agriculture

2.2.2 The Importance of Deep Learning in Agriculture

2.3 Working of CNN/Deep Neural Network

2.3.1 Convolutional Layers

2.3.2 Non-Linearity Layer

2.3.3 Pooling Layer

2.3.4 Flatten

2.3.5 Fully Connected Layer

2.3.6 The Network’s Training

2.4 Agriculture Implementation of CNNs

2.4.1 Area of Application

2.4.2 Sources of Data

2.4.3 Overall Accuracy and Performance Measurements

2.4.4 Techniques Used

2.5 Comparison of CNN Model with Usage

2.6 Future of Agricultural Profound Learning

2.7 Conclusion

References