2 Data science, computer vision and machine learning for agriculture and natural resource management: an overview
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Mehul S. Raval
Abstract
The progress of humanity is dependent on agriculture and natural resources. A developed society with modern amenities and infrastructure will be useless without access to food or natural resources. As population and living standards rise, so is the demand for food. On the other hand, the Earth has finite natural resources. Therefore, researchers must develop innovative solutions to improve the yield and effectively manage natural resources. Data science, computer vision and machine learning are spearheading key innovations in agriculture in the present times. In the near future, the farms will be a great source of data. The data obtained from farms will drive digital agriculture. It will help farmers or customers to make optimal decisions in real time. The chapter shows how to best use available voluminous, dynamic and real-time data. In turn, it will drive the effective development of agriculture and proper utilization of natural resources.
Abstract
The progress of humanity is dependent on agriculture and natural resources. A developed society with modern amenities and infrastructure will be useless without access to food or natural resources. As population and living standards rise, so is the demand for food. On the other hand, the Earth has finite natural resources. Therefore, researchers must develop innovative solutions to improve the yield and effectively manage natural resources. Data science, computer vision and machine learning are spearheading key innovations in agriculture in the present times. In the near future, the farms will be a great source of data. The data obtained from farms will drive digital agriculture. It will help farmers or customers to make optimal decisions in real time. The chapter shows how to best use available voluminous, dynamic and real-time data. In turn, it will drive the effective development of agriculture and proper utilization of natural resources.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- About the Editors IX
- List of Contributors XI
- 1 OpenCV libraries for computer vision 1
- 2 Data science, computer vision and machine learning for agriculture and natural resource management: an overview 23
- 3 Image caption generating system using convolutional neural networks and long short-term memory networks 55
- 4 Computer vision for healthcare applications 73
- 5 Mental disorder prediction using facial expression based on machine learning techniques 97
- 6 Neonatal monitoring system using IoT and object detection 109
- 7 Video surveillance fire detection and quick alarm systems 121
- 8 Face mask detection and crowd size estimation using IoT platform 135
- 9 Generative adversary networks novel trends in image processing 147
- 10 Computer vision-based approach for alphabetic recognition and Indian Sign Language recognition system 173
- 11 Automated healthcare system using gamification and AI-based chatbot 199
- 12 Prediction of MRI tumor condition through image segmentation using deep neural network approach 215
- 13 Color constancy adjustment techniques 243
- 14 Hyperspectral imaging and its applications for vein detection: a review 277
- 15 Detection of Augmented Facial Landmarks-based Face Swapping 307
- 16 Factors affecting the accuracy of a laser scanner 327
- Index 355
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- About the Editors IX
- List of Contributors XI
- 1 OpenCV libraries for computer vision 1
- 2 Data science, computer vision and machine learning for agriculture and natural resource management: an overview 23
- 3 Image caption generating system using convolutional neural networks and long short-term memory networks 55
- 4 Computer vision for healthcare applications 73
- 5 Mental disorder prediction using facial expression based on machine learning techniques 97
- 6 Neonatal monitoring system using IoT and object detection 109
- 7 Video surveillance fire detection and quick alarm systems 121
- 8 Face mask detection and crowd size estimation using IoT platform 135
- 9 Generative adversary networks novel trends in image processing 147
- 10 Computer vision-based approach for alphabetic recognition and Indian Sign Language recognition system 173
- 11 Automated healthcare system using gamification and AI-based chatbot 199
- 12 Prediction of MRI tumor condition through image segmentation using deep neural network approach 215
- 13 Color constancy adjustment techniques 243
- 14 Hyperspectral imaging and its applications for vein detection: a review 277
- 15 Detection of Augmented Facial Landmarks-based Face Swapping 307
- 16 Factors affecting the accuracy of a laser scanner 327
- Index 355
