Punit gupta (445 Ergebnisse)

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Hardcover. Zustand: New. Contents: 1. Mulching: A Sustainable Approach in Vegetable Production. 2. Self-sufficiency and Agriculture Trade: India's Prospects and Challenges Under New Global Framework. 3. Artificial Intelligence (AI): A New Paradigm for Sustainable Environment & Agriculture. 4. Knowledge of Rice and Wheat Farmers About Various Aspects of Agrochemical Use and Plant Protection Practices in the Sub-tropics of Jammu. 5. Extend of Adoption vis-a-vis Technological Gaps in Adoption of Recommended Practices of Maize Cultivation in District Ganderbal. 6. Climate Smart Agriculture for Food Security. 7. Marketing Management: An Overview. 8. Overview of Climate Change in India with Special Reference to J&K. 9. Weather Forecast Based Agro Advisory Services under Climate Change Scenario. 10. Organic Agriculture: Helps Mitigate Climate Change. 11. Climate Smart Agriculture: A Promising Approach Towards Sustainable Farming. 12. Novel Advances in Sensing and Remediation of Noxious Pollutants. 13. Decadal Dynamics of Urban Blue Infrastructure with Special Reference to Dal Lake of Srinagar City. 14. Indigenous Technical Knowledge: Relevance in the Present Day Agriculture. 15. Carbon Sequestration Potential of Agroforestry Systems: An Overview. 16. Climate Change and Livestock Production. 17. Pillars of Climate Smart Agriculture. 18. Application of 4.0 for Sustainable Aquaculture and Nutritional Security. 19. Climate Smart Agriculture and Food Security in India. 20. Biotechnological Advances in Mulberry Crop Improvement. 21. Climate Change and Its Impact on Poultry Production. 22. Climate Smart Agriculture. 23. A Comprehensive Approach to Combat Climate Change: Integrating Mitigation and Adaptation Strategies. 24. Natural Farming: An Opportunity for Sustainable Agriculture. The concept of Climate Smart Agriculture (CSA) was launched by FAO in 2009 which goes beyond agricultural practices and technologies to include enabling policies and institutions as well as identification of financing mechanisms to accomplish sustainable agricultural development through the integrated approach of managing landscapes to help adapt agricultural methods, livestock and crops in context of changing climatic scenarios. It has gained considerable attention, especially in developing countries, due to its potential to increase food security and farming system resilience while decreasing greenhouse gas emissions, as well as the selection of technology that will best encourage sustainable agricultural practices. Global agriculture has improved over several years, which highlight how we move forward in terms of increased crop production. Agriculture 4.0 is a term for the next big trends facing the industry, including a greater focus on precision agriculture, the internet of things (IoT), artificial intelligence, robotics and the use of big data to drive greater business efficiencies and enhance productivity in the face of rising populations and climate change. …

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Paperback. Zustand: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.

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Paperback. Zustand: New. Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent IoT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence.The wide variety of topics covered include:Artificial Intelligence in healthcareMachine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19Big data analytics solutions for healthcare data processingReliable biomedical applications using AI modelsIntelligent IoT in healthcareThe book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, AI models, and data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain.…

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