Modern techniques for agricultural disease management and crop yield prediction /
| Corporate Author: | |
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| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2019.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Chapter 1. Issues and challenges in smart farming for sustainable agriculture
- Chapter 2. Image processing techniques aiding smart agriculture
- Chapter 3. Expert system Design for diagnosis of diseases for paddy crop
- Chapter 4. Deep learning and computer vision in smart agriculture
- Chapter 5. Computer vision for green plant segmentation and leaf Count
- Chapter 6. Automatic data acquisition and spot disease identification system in plants pathology domain: agricultural intelligence system in plant pathology domain
- Chapter 7. Applications of data mining techniques in smart farming for sustainable agriculture
- Chapter 8. Agro guardian: a smart agriculture framework for precision farming
- Chapter 9. A study on technology-LED solutions for fruit grading to address post-harvest handling issues of horticultural crops
- Chapter 10. Optimized data mining techniques for outlier detection, removal, and management zone delineation for yield prediction.