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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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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Razmjooy, Navid, 1987- (Editor); Estrela, Vania Vieira (Editor)
Published: IGI Global,
Publisher Address: Hershey, Pennsylvania :
Publication Dates: [2019]
Literature type: eBook
Language: English
Subjects:
Agriculture > Data processing.
Image processing > Digital techniques.
Soft computing > Industrial applications.
Machine learning > Industrial applications.
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.

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