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Artificial Intelligence in Microbial Research : Bridging the Gap / / edited by Babita Pandey, Devendra Pandey, Aditya Khamparia, Venkatesh Dutta, Valentina E. Balas
| Artificial Intelligence in Microbial Research : Bridging the Gap / / edited by Babita Pandey, Devendra Pandey, Aditya Khamparia, Venkatesh Dutta, Valentina E. Balas |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVI, 450 p. 104 illus., 94 illus. in color.) |
| Disciplina | 579.1788 |
| Collana | Microorganisms for Sustainability |
| Soggetto topico |
Microbial populations
Microbiology Cytology Microbial ecology Artificial intelligence Machine learning Artificial intelligence - Data processing Microbial Communities Cellular Microbiology Environmental Microbiology Artificial Intelligence Machine Learning Data Science |
| ISBN | 981-9634-48-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Thematic Analysis of Media Influence on the Adoption of AI Climate Prediction Models in Microbial Agriculture Practices: A Case Study of Uttar Pradesh Using Diffusion of Innovations Theory -- Chapter 2. Understanding Media Influence on the Adoption of AI Climate Prediction Models in Microbiological Agricultural Practices: A Study of Uttarakhand -- Chapter 3. Advancements in Precision Agriculture: Integrating Machine Learning Techniques for Crop Monitoring and Management -- Chapter 4. Advances in Agricultural Analytics Machine Learning Applications for Crop Monitoring and Management -- Chapter 5. AI Driven Strategies for Microbial Infection from Discovery to Therapeutic Design -- Chapter 6. Use of Artificial Intelligence for Monitoring Algal Blooms in Aquatic Ecosystem -- Chapter 7. Ai-Yolact Model for Automatic Severity Grading Of Microbial Based Anthracnose Infection in Camellia Leaves -- Chapter 8. An Explainable AI Based CNN model for Plant Disease Diagnosis -- Chapter 9. Artificial Intelligent Enable Intelligent Bio-Sensor for Microbial Analysisfor Lung Health -- Chapter 10. Biosensors Guided Ai Interventions in Personalized Medicines -- Chapter 11. Education and Training for Developing Responsible AI Solutions in Healthcare -- Chapter 12. Automation of Drug Discovery & Development -- Chapter 13. Genome Studies and Disease Diagnosis -- Chapter 14. Exploring Explainable Artificial Intelligence in Healthcare: Issues, Challenges and Opportunities -- Chapter 15. Investigating Integron as the Principal Factor of Antibiotic Resistance in the Human Gut: A Holistic Perspective -- Chapter 16. Hybrid Deep Learning for Predictive Modelling of Microbial Biostimulants in Precision Agriculture -- Chapter 17. Challenges and Opportunities In Integrating Generative Al With Wearable Devices -- Chapter 18. Medical Image Analysis and Morphology Using Artificial Intelligence -- Chapter 19. Simulation of Biological Structures Using Generative Artificial Intelligence -- Chapter 20. Neuromuscular Disease Classification: Leveraging Deep Learning Feature Extractors and Applications. |
| Record Nr. | UNINA-9911007364703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Mycorrhizal Cultivation : Innovations for Hillside Farming Systems / / edited by Yasmeen Siddiqui, Kamil Kuca, Rajni Dhalaria
| Sustainable Mycorrhizal Cultivation : Innovations for Hillside Farming Systems / / edited by Yasmeen Siddiqui, Kamil Kuca, Rajni Dhalaria |
| Autore | Siddiqui Yasmeen |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (555 pages) |
| Disciplina | 579.1788 |
| Collana | Biomedical and Life Sciences Series |
| Soggetto topico |
Microbial populations
Soil science Fungi Mycology Microbiology Agriculture Microbial Communities Soil Science |
| ISBN | 981-9517-78-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Chapter 1: Overview of Hill Agriculture: Challenges, Opportunities, and Sustainability -- Chapter 2: Agronomic Opportunities to Alter Cropping Systems and Soil Health -- Chapter 3: Unravelling the Hidden World Beneath: Exploring Mycorrhizal Diversity and Methods of Identification and Isolation -- Chapter 4: Role of Mycorrhiza and its Application to Crop Production: A Path Ahead for Sustainable Agriculture -- Chapter 5: Mycorrhizal Influence on Vegetable Crops: Enhancing Productivity and Sustainability -- Chapter 6: From Root to Fruit: Mycorrhizal Impact on Fruit Crops -- Chapter 7: Symbiotic Relationships: The Role of Mycorrhizae in Optimizing Flower Crop Productivity -- Chapter 8: Harnessing Mycorrhizal Symbiosis: Exploring its impact on Medicinal Crops -- Chapter 9: Rooting for Growth: Mycorrhizal Impact on Forestry Ecosystems -- Chapter 10:Impact of Mycorrhizal Application on Major Crops such as Cereals, Pulses, and Oilseeds -- Chapter 11:Cultivating Excellence: Mycorrhizal Fungi Quality Management, Production, and Application -- Chapter 12:Mechanisms of Mycorrhizal Symbiosis and its Impact on Soil Fertility and Crop Nutrition -- Chapter 13:Economic Analysis of Mycorrhizal Applications and their Potential for Enhancing Farm Profitability and Livelihoods -- Chapter 14:Environmental Benefits of Mycorrhizal Symbiosis: Soil Conservation, Biodiversity Conservation, and Climate Change Mitigation -- Chapter 15:Market avenues and the availability of mycorrhizal products for use in agriculture by farmers. |
| Record Nr. | UNINA-9911047815603321 |
Siddiqui Yasmeen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||