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"--
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Corporate Authors: | |
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Group Author: | ; |
Published: |
IGI Global,
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Publisher Address: | Hershey, Pennsylvania : |
Publication Dates: | [2019] |
Literature type: | eBook |
Language: | English |
Subjects: | |
Online Access: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8027-0 |
Summary: |
"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"-- |
Carrier Form: | 19 PDFs (xxi, 337 pages) |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781522580287 |
Access: | Restricted to subscribers or individual electronic text purchasers. |
Index Number: | S494 |
CLC: | S126-532 |
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. |