Computer Vision and Machine Learning in Agriculture

Book Overview

Chapter 1. Introduction to Computer Vision and Machine Learning Applications in Agriculture.- Chapter 2. Robots and Drones in Agriculture - A Survey.- Chapter 3. Detection of Rotten Fruits and Vegetables using Deep Learning.- Chapter 4. Deep Learning-Based Essential Paddy Pests Filtration Technique: A Better Economic Damage Management Process.- Chapter 5. Deep CNN-Based Mango Insect Classification.- Chapter 6. Implementation of a Deep Convolutional Neural Network for the Detection of Tomato Leaf Diseases.- Chapter 7. A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network.- Chapter 8. A Deep Learning-Based Approach for Potato Diseases Classification.- Chapter 9. An In-Depth Analysis of Different Segmentation Techniques in Automated Local Fruit Disease Recognition.- Chapter 10. Machine Vision Based Fruit and Vegetable Disease Recognition: A Review.- Chapter 11. An Efficient Bag-of-Features for Diseased Plant Identification.

• Format: Paperback
• Language: English
• ISBN: 9813364262
• ISBN13: 9789813364264
• Release Date: March 2022
• Publisher: Springer
• Length: 172 Pages
• Weight: 0.60 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"