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Applications of image processing and soft computing systems in agriculture[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	338.10285
書名/作者:	Applications of image processing and soft computing systems in agriculture/ Navid Razmjooy and Vania Vieira Estrela, editors.
其他作者:	Razmjooy, Navid,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2019]
面頁冊數:	1 online resource (xxi, 337 p.)
標題:	Agriculture - Data processing.
標題:	Image processing - Digital techniques.
標題:	Soft computing - Industrial applications.
標題:	Machine learning - Industrial applications.
ISBN:	9781522580287 (e-book)
ISBN:	9781522580270 (hardback)
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、提要註:	"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"--Provided by publisher.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8027-0

Applications of image processing and soft computing systems in agriculture[electronic resource] /
Applications of image processing and soft computing systems in agriculture[electronic resource] /Navid Razmjooy and Vania Vieira Estrela, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxi, 337 p.)

Includes bibliographical references and index.

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.

Restricted to subscribers or individual electronic text purchasers.

"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"--Provided by publisher.

ISBN: 9781522580287 (e-book)Subjects--Topical Terms:

487616
Agriculture
--Data processing.

LC Class. No.: S494.5.D3 / A66 2019e

Dewey Class. No.: 338.10285

Applications of image processing and soft computing systems in agriculture[electronic resource] /
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245 0 0 $a Applications of image processing and soft computing systems in agriculture $h [electronic resource] / $c Navid Razmjooy and Vania Vieira Estrela, editors.
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300 $a 1 online resource (xxi, 337 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "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"--Provided by publisher.
650 0 $a Agriculture $x Data processing. $3 487616
650 0 $a Image processing $x Digital techniques. $3 365611
650 0 $a Soft computing $x Industrial applications. $3 571112
650 0 $a Machine learning $x Industrial applications. $3 690360
700 1 $a Razmjooy, Navid, $d 1987- $e editor. $3 734600
700 1 $a Estrela, Vania Vieira, $e editor. $3 733820
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