Modern techniques for agricultural disease management and crop yield prediction:
"This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provid...
Gespeichert in:
| Weitere Verfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2019.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provided by publisher. |
| Beschreibung: | 20 PDFs (291 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522596349 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 082 | 7 | |a 338.10285 |2 23 | |
| 245 | 0 | 0 | |a Modern techniques for agricultural disease management and crop yield prediction |c N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, and Sonia Abdellatif, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2019. | |
| 300 | |a 20 PDFs (291 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 07/32/2019). | ||
| 650 | 0 | |a Agricultural innovations. | |
| 650 | 0 | |a Agriculture |x Data processing. | |
| 650 | 0 | |a Crop yields. | |
| 650 | 0 | |a Phytopathogenic microorganisms |x Control. | |
| 650 | 0 | |a Precision farming. | |
| 700 | 1 | |a Abdellatif, Sonia, |e editor. | |
| 700 | 1 | |a Goyal, Vishal, |e editor. | |
| 700 | 1 | |a Kautish, Sandeep, |e editor. | |
| 700 | 1 | |a Nirmala, C. R., |e editor. | |
| 700 | 1 | |a Pradeep, N. |d 1977- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019005482 | |
| 776 | 0 | 8 | |i Print version: |z 1522596321 |z 9781522596325 |w (DLC) 2019005482 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9632-5 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00222503 |
|---|---|
| _version_ | 1816797081996623872 |
| adam_text | |
| any_adam_object | |
| author2 | Abdellatif, Sonia Goyal, Vishal Kautish, Sandeep Nirmala, C. R. Pradeep, N. 1977- |
| author2_role | edt edt edt edt edt |
| author2_variant | s a sa v g vg s k sk c r n cr crn n p np |
| author_facet | Abdellatif, Sonia Goyal, Vishal Kautish, Sandeep Nirmala, C. R. Pradeep, N. 1977- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | S - Agriculture |
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| callnumber-raw | S494.5.D3 M63 2019e |
| callnumber-search | S494.5.D3 M63 2019e |
| callnumber-sort | S 3494.5 D3 M63 42019E |
| callnumber-subject | S - General Agriculture |
| collection | ZDB-98-IGB |
| 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. |
| ctrlnum | (CaBNVSL)slc20909497 (DNAL)1399286 (OCoLC)1111724697 |
| dewey-full | 338.10285 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 338 - Production |
| dewey-raw | 338.10285 |
| dewey-search | 338.10285 |
| dewey-sort | 3338.10285 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00222503 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:55Z |
| institution | BVB |
| isbn | 9781522596349 |
| language | English |
| oclc_num | 1111724697 |
| open_access_boolean | |
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| physical | 20 PDFs (291 pages) Also available in print. |
| psigel | ZDB-98-IGB |
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| publishDateSort | 2019 |
| publisher | IGI Global, |
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| spelling | Modern techniques for agricultural disease management and crop yield prediction N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, and Sonia Abdellatif, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2019. 20 PDFs (291 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. 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. Restricted to subscribers or individual electronic text purchasers. "This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 07/32/2019). Agricultural innovations. Agriculture Data processing. Crop yields. Phytopathogenic microorganisms Control. Precision farming. Abdellatif, Sonia, editor. Goyal, Vishal, editor. Kautish, Sandeep, editor. Nirmala, C. R., editor. Pradeep, N. 1977- editor. IGI Global, publisher. (Original) (DLC)2019005482 Print version: 1522596321 9781522596325 (DLC) 2019005482 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9632-5 Volltext |
| spellingShingle | Modern techniques for agricultural disease management and crop yield prediction 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. Agricultural innovations. Agriculture Data processing. Crop yields. Phytopathogenic microorganisms Control. Precision farming. |
| title | Modern techniques for agricultural disease management and crop yield prediction |
| title_auth | Modern techniques for agricultural disease management and crop yield prediction |
| title_exact_search | Modern techniques for agricultural disease management and crop yield prediction |
| title_full | Modern techniques for agricultural disease management and crop yield prediction N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, and Sonia Abdellatif, editors. |
| title_fullStr | Modern techniques for agricultural disease management and crop yield prediction N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, and Sonia Abdellatif, editors. |
| title_full_unstemmed | Modern techniques for agricultural disease management and crop yield prediction N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, and Sonia Abdellatif, editors. |
| title_short | Modern techniques for agricultural disease management and crop yield prediction |
| title_sort | modern techniques for agricultural disease management and crop yield prediction |
| topic | Agricultural innovations. Agriculture Data processing. Crop yields. Phytopathogenic microorganisms Control. Precision farming. |
| topic_facet | Agricultural innovations. Agriculture Data processing. Crop yields. Phytopathogenic microorganisms Control. Precision farming. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9632-5 |
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