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 beteiligte Personen: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey, PA
IGI Global
[2020]
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4018/978-1-5225-9632-5 https://doi.org/10.4018/978-1-5225-9632-5 https://doi.org/10.4018/978-1-5225-9632-5 https://doi.org/10.4018/978-1-5225-9632-5 https://doi.org/10.4018/978-1-5225-9632-5 |
| 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 |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781522596349 |
| DOI: | 10.4018/978-1-5225-9632-5 |
Internformat
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| 245 | 1 | 0 | |a Modern techniques for agricultural disease management and crop yield prediction |c N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif |
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| 505 | 8 | |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 | |
| 520 | |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 | ||
| 650 | 4 | |a Agriculture / Data processing | |
| 650 | 4 | |a Agricultural innovations | |
| 650 | 4 | |a Precision farming | |
| 650 | 4 | |a Phytopathogenic microorganisms / Control | |
| 650 | 4 | |a Crop yields | |
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| 650 | 7 | |a Crop yields |2 fast | |
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Datensatz im Suchindex
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| 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 | (OCoLC)1126552517 (DE-599)BVBBV046217797 |
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| id | DE-604.BV046217797 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:46:22Z |
| institution | BVB |
| isbn | 9781522596349 |
| language | English |
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| spelling | Modern techniques for agricultural disease management and crop yield prediction N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif Hershey, PA IGI Global [2020] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier 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 "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 Agriculture / Data processing Agricultural innovations Precision farming Phytopathogenic microorganisms / Control Crop yields Agricultural innovations fast Agriculture / Data processing fast Crop yields fast Phytopathogenic microorganisms / Control fast Precision farming fast Pradeep, N. edt Kautish, Sandeep edt Nirmala, C. R. edt Goyal, Vishal edt Abdellatif, Sonia edt Erscheint auch als Druck-Ausgabe, hardcover 978-1-5225-9632-5 Erscheint auch als Druck-Ausgabe, softcover 978-1-5225-9633-2 https://doi.org/10.4018/978-1-5225-9632-5 Verlag URL des Erstveröffentlichers 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 Agriculture / Data processing Agricultural innovations Precision farming Phytopathogenic microorganisms / Control Crop yields Agricultural innovations fast Agriculture / Data processing fast Crop yields fast Phytopathogenic microorganisms / Control fast Precision farming fast |
| 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, Sonia Abdellatif |
| title_fullStr | Modern techniques for agricultural disease management and crop yield prediction N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif |
| title_full_unstemmed | Modern techniques for agricultural disease management and crop yield prediction N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif |
| 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 | Agriculture / Data processing Agricultural innovations Precision farming Phytopathogenic microorganisms / Control Crop yields Agricultural innovations fast Agriculture / Data processing fast Crop yields fast Phytopathogenic microorganisms / Control fast Precision farming fast |
| topic_facet | Agriculture / Data processing Agricultural innovations Precision farming Phytopathogenic microorganisms / Control Crop yields |
| url | https://doi.org/10.4018/978-1-5225-9632-5 |
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