Advanced computational methods for agri-business sustainability:
"Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety...
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production.Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals."-- |
| Physical Description: | 24 PDFs (391 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369335840 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Advanced computational methods for agri-business sustainability |c Kamalakanta Muduli, Suchismita Satapathy, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 24 PDFs (391 Seiten) | ||
| 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. A machine learning-based crop diseases detection and management system -- Chapter 2. A smart agronomy: deep learning process for recognition and classification plant leaf diseases -- Chapter 3. Advanced computational forecasting for agri-business supply chain resilience -- Chapter 4. Agricultural crop recommendations based on productivity and season -- Chapter 5. Artificial intelligence (AI)-driven IoT (AIIoT)-based agriculture automation -- Chapter 6. Artificial intelligence in the agri-business sector: prioritizing the barriers through application of analytical hierarchy process (AHP) -- Chapter 7. Barriers of agrisupply chain management: during mental and physical stress during farming in tractor -- Chapter 8. Behind the barriers: identifying critical credit access challenges in agri-business sector of India -- Chapter 9. Design of wheels of agri-rover for both dry and wet surfaces (run-way) -- Chapter 10. Digitalization of SCM in the agriculture industry -- Chapter 11. Harnessing agricultural data: advancing sustainability through the application of find S algorithm -- Chapter 12. Harvesting insights unveiling the interplay of climate, pesticides, and rainfall in agricultural yield optimization -- Chapter 13. Identification, classification, and grading of crops grain using computer intelligence techniques: a review -- Chapter 14. IoT, AI, and robotics applications in the agriculture sector -- Chapter 15. LSTM-based deep learning for crop production prediction with synthetic data -- Chapter 16. Waste management and its impact on food security -- Chapter 17. Adoption challenges of industry 4.0 in agrisector and designing a framework to reduce it. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production.Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals."-- |c 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 07/22/2024). | ||
| 650 | 0 | |a Agriculture |x Data processing. | |
| 653 | |a Agricultural Activities. | ||
| 653 | |a Anthropometry. | ||
| 653 | |a Cognitive Ergonomics. | ||
| 653 | |a Computational Techniques. | ||
| 653 | |a Ergonomic Assessment. | ||
| 653 | |a Food Safety. | ||
| 653 | |a Human Factors. | ||
| 653 | |a Innovation. | ||
| 653 | |a Intelligent Agri-System. | ||
| 653 | |a IoT, AI, Robotics. | ||
| 653 | |a Organizational Performance. | ||
| 653 | |a Physical Ergonomics. | ||
| 653 | |a Risk Management. | ||
| 653 | |a Safety in Agriculture. | ||
| 653 | |a Supply Chain Management. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Muduli, Kamalakanta |e editor. | |
| 700 | 1 | |a Satapathy, Suchismita |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369335833 |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
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| _version_ | 1826942603301486592 |
| adam_text | |
| any_adam_object | |
| author2 | Muduli, Kamalakanta Satapathy, Suchismita |
| author2_role | edt edt |
| author2_variant | k m km s s ss |
| author_facet | Muduli, Kamalakanta Satapathy, Suchismita |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | S - Agriculture |
| callnumber-label | S494 |
| callnumber-raw | S494.5.D3 A38 2024e |
| callnumber-search | S494.5.D3 A38 2024e |
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| callnumber-subject | S - General Agriculture |
| collection | ZDB-98-IGB |
| contents | Chapter 1. A machine learning-based crop diseases detection and management system -- Chapter 2. A smart agronomy: deep learning process for recognition and classification plant leaf diseases -- Chapter 3. Advanced computational forecasting for agri-business supply chain resilience -- Chapter 4. Agricultural crop recommendations based on productivity and season -- Chapter 5. Artificial intelligence (AI)-driven IoT (AIIoT)-based agriculture automation -- Chapter 6. Artificial intelligence in the agri-business sector: prioritizing the barriers through application of analytical hierarchy process (AHP) -- Chapter 7. Barriers of agrisupply chain management: during mental and physical stress during farming in tractor -- Chapter 8. Behind the barriers: identifying critical credit access challenges in agri-business sector of India -- Chapter 9. Design of wheels of agri-rover for both dry and wet surfaces (run-way) -- Chapter 10. Digitalization of SCM in the agriculture industry -- Chapter 11. Harnessing agricultural data: advancing sustainability through the application of find S algorithm -- Chapter 12. Harvesting insights unveiling the interplay of climate, pesticides, and rainfall in agricultural yield optimization -- Chapter 13. Identification, classification, and grading of crops grain using computer intelligence techniques: a review -- Chapter 14. IoT, AI, and robotics applications in the agriculture sector -- Chapter 15. LSTM-based deep learning for crop production prediction with synthetic data -- Chapter 16. Waste management and its impact on food security -- Chapter 17. Adoption challenges of industry 4.0 in agrisector and designing a framework to reduce it. |
| ctrlnum | (CaBNVSL)slc00006214 (OCoLC)1429845839 |
| 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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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00336470 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:38Z |
| institution | BVB |
| isbn | 9798369335840 |
| language | English |
| oclc_num | 1429845839 |
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| physical | 24 PDFs (391 Seiten) Also available in print. |
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| publishDate | 2024 |
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| spelling | Advanced computational methods for agri-business sustainability Kamalakanta Muduli, Suchismita Satapathy, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 24 PDFs (391 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. A machine learning-based crop diseases detection and management system -- Chapter 2. A smart agronomy: deep learning process for recognition and classification plant leaf diseases -- Chapter 3. Advanced computational forecasting for agri-business supply chain resilience -- Chapter 4. Agricultural crop recommendations based on productivity and season -- Chapter 5. Artificial intelligence (AI)-driven IoT (AIIoT)-based agriculture automation -- Chapter 6. Artificial intelligence in the agri-business sector: prioritizing the barriers through application of analytical hierarchy process (AHP) -- Chapter 7. Barriers of agrisupply chain management: during mental and physical stress during farming in tractor -- Chapter 8. Behind the barriers: identifying critical credit access challenges in agri-business sector of India -- Chapter 9. Design of wheels of agri-rover for both dry and wet surfaces (run-way) -- Chapter 10. Digitalization of SCM in the agriculture industry -- Chapter 11. Harnessing agricultural data: advancing sustainability through the application of find S algorithm -- Chapter 12. Harvesting insights unveiling the interplay of climate, pesticides, and rainfall in agricultural yield optimization -- Chapter 13. Identification, classification, and grading of crops grain using computer intelligence techniques: a review -- Chapter 14. IoT, AI, and robotics applications in the agriculture sector -- Chapter 15. LSTM-based deep learning for crop production prediction with synthetic data -- Chapter 16. Waste management and its impact on food security -- Chapter 17. Adoption challenges of industry 4.0 in agrisector and designing a framework to reduce it. Restricted to subscribers or individual electronic text purchasers. "Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production.Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 07/22/2024). Agriculture Data processing. Agricultural Activities. Anthropometry. Cognitive Ergonomics. Computational Techniques. Ergonomic Assessment. Food Safety. Human Factors. Innovation. Intelligent Agri-System. IoT, AI, Robotics. Organizational Performance. Physical Ergonomics. Risk Management. Safety in Agriculture. Supply Chain Management. Electronic books. Muduli, Kamalakanta editor. Satapathy, Suchismita editor. IGI Global, publisher. Print version: 9798369335833 |
| spellingShingle | Advanced computational methods for agri-business sustainability Chapter 1. A machine learning-based crop diseases detection and management system -- Chapter 2. A smart agronomy: deep learning process for recognition and classification plant leaf diseases -- Chapter 3. Advanced computational forecasting for agri-business supply chain resilience -- Chapter 4. Agricultural crop recommendations based on productivity and season -- Chapter 5. Artificial intelligence (AI)-driven IoT (AIIoT)-based agriculture automation -- Chapter 6. Artificial intelligence in the agri-business sector: prioritizing the barriers through application of analytical hierarchy process (AHP) -- Chapter 7. Barriers of agrisupply chain management: during mental and physical stress during farming in tractor -- Chapter 8. Behind the barriers: identifying critical credit access challenges in agri-business sector of India -- Chapter 9. Design of wheels of agri-rover for both dry and wet surfaces (run-way) -- Chapter 10. Digitalization of SCM in the agriculture industry -- Chapter 11. Harnessing agricultural data: advancing sustainability through the application of find S algorithm -- Chapter 12. Harvesting insights unveiling the interplay of climate, pesticides, and rainfall in agricultural yield optimization -- Chapter 13. Identification, classification, and grading of crops grain using computer intelligence techniques: a review -- Chapter 14. IoT, AI, and robotics applications in the agriculture sector -- Chapter 15. LSTM-based deep learning for crop production prediction with synthetic data -- Chapter 16. Waste management and its impact on food security -- Chapter 17. Adoption challenges of industry 4.0 in agrisector and designing a framework to reduce it. Agriculture Data processing. |
| title | Advanced computational methods for agri-business sustainability |
| title_auth | Advanced computational methods for agri-business sustainability |
| title_exact_search | Advanced computational methods for agri-business sustainability |
| title_full | Advanced computational methods for agri-business sustainability Kamalakanta Muduli, Suchismita Satapathy, editor. |
| title_fullStr | Advanced computational methods for agri-business sustainability Kamalakanta Muduli, Suchismita Satapathy, editor. |
| title_full_unstemmed | Advanced computational methods for agri-business sustainability Kamalakanta Muduli, Suchismita Satapathy, editor. |
| title_short | Advanced computational methods for agri-business sustainability |
| title_sort | advanced computational methods for agri business sustainability |
| topic | Agriculture Data processing. |
| topic_facet | Agriculture Data processing. Electronic books. |
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