Computer Vision and Machine Learning in Agriculture
portes grátis
Computer Vision and Machine Learning in Agriculture
Bansal, Jagdish Chand; Uddin, Mohammad Shorif
Springer Verlag, Singapore
03/2022
172
Mole
Inglês
9789813364264
15 a 20 dias
296
Descrição não disponível.
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.
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Precision Agriculture;Disease Detection;Pest, Insect, Species Recognition;Product Quality and Defect Assessment;Agricultural Robots and Drones;Computer Vision;Machine Learning;Deep Learning
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
