Applications of image processing and soft computing systems in agriculture
"This book examines the main uses of the shape analysis on some agricultural products, such as relationships between form and genetics, adaptation, product characteristics, and product sorting"--
| 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: | https://www.lib.tsu.ru/mminfo/2023/EBSCO/2046053.pdf |
Table of Contents:
- Chapter 1. A survey of potatoes image segmentation based on machine vision
- Chapter 2. WT-MO algorithm: automated hematological software based on the watershed transform for blood cell count
- Chapter 3. Identification of good one from the damaged crops/fruits using decision-level information matching
- Chapter 4. Soft-computing-based approaches for plant leaf disease detection: machine-learning-based study
- Chapter 5. Identification of agricultural crop residues using non-destructive methods
- Chapter 6. Prognosis for crop yield production by data mining techniques in agriculture
- Chapter 7. Examination of plant/weed image dataset using a hybrid image processing tool
- Chapter 8. Application of software in soil and groundwater recharge estimation in Ilorin, Nigeria
- Chapter 9. Applications of image compression on agricultural image data analysis
- Chapter 10. Deep learning-based mobile application for plant disease diagnosis: a proof of concept with a case study on tomato plant
- Chapter 11. Intelligent farming with surveillance agribot.