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Full Description
This book offers insights into how modern technologies are transforming agriculture with a focus on sustainability. It explores the current applications of technologies such as AI, IoT, and machine learning, and their impact on improving crop yield, resource efficiency, and environmental impact. Through practical examples and case studies, it demonstrates how these technologies can address challenges in agriculture and enhance operational efficiency. This book is for researchers, professionals, and policymakers interested in leveraging technology for sustainable agricultural practices.
Key Features:
Analysis of how IoT devices and sensor networks are used for real-time monitoring of farm operations, soil conditions, and weather patterns.
Studies emerging technologies like machine vision, predictive modelling, and natural language processing, for tasks such as crop monitoring and pest detection.
Detailed discussion on machine learning algorithms, including supervised, unsupervised, and reinforcement learning, tailored for agricultural applications.
Insights into how AI, IoT, and machine learning optimize resource use, improve crop yield and quality, and enhance sustainability.
Case studies to highlight real-life examples from crop management to livestock and water conservation.
Contents
1. Optimizing Agricultural Supply Chains through AI and IoT: A Pathway to Sustainable Practices
2. Smart Irrigation: Harnessing AI for Sustainable Agriculture
3. Resource Optimization in Agriculture
4. Revolutionizing Crop Protection: An Innovative Smart System to Deter Birds
5. Climate Change and Agriculture: Emerging Challenges and Far-Reaching Impacts
6. Leveraging Advanced Technologies for Postharvest Management in Horticulture
7. Near-Field Microwave Sensing for Non-Invasive Detection of Ammonia Gas in Stored Grains
8. Edge Computing in IoT-Driven Agriculture: A Transformative Enabler for Smart Farming
9. Harnessing Artificial Intelligence in Animal Sciences: A Vital Frontier for Smart Agriculture
10. The Role of IoT in Promoting Sustainability in Green Agriculture
11. Data Security in IoT-Enabled Smart Farming Monitoring Frameworks
12. DeepPestID: Enhancing Agricultural Pest Classification with Vision Transformers and CNNs
13. Optimizing Deep Learning Models for Real-Time Plant Disease Detection
14. Machine Learning-Driven Millet Processing for Quality Enhancement
15. IoT and AI Synergy in Precision Agriculture
16. Turkey's Road Map in the Smart Agriculture 5.0 Process
17. Internet of Things (IoT) in Sustainable Agriculture
18. Innovations in Sustainable Agriculture: Recent Advances and Future Directions
19. Advanced Security in Agri-IoT: Applications of Quantum Machine Learning
