Full Description
This book explores how AI and the IoT can help solve critical agricultural challenges, such as improving water and energy efficiency, reducing food scarcity, improving land management, promoting climate smart agriculture, and supporting informed decision making. Through expert international research contributions, readers can understand the benefits and challenges of using this technology in a variety of agricultural areas. By integrating advanced technologies into farming practices, it highlights pathways to achieving the United Nations Sustainable Development Goals (SDGs), particularly Zero Hunger, Responsible Consumption and Production, and Climate Action. The book examines real-world applications, opportunities, and challenges, offering insights for researchers, policymakers, and innovators aiming to build a sustainable future for agriculture.
Contents
Chapter 1: The Intersection of Nature and Neural Networks: A Review On Medicinal Plant Classification Using Cutting-Edge AI Techniques.- Chapter 2: Climate Smart Agriculture: Adopting To A Changing Environment.- Chapter 3: AI and Machine Learning In Precision Agriculture Towards Sustainable Integrated Crop-Livestock Management Practices.- Chapter 4: Predictive Analytics: Forecasting Crop Health and Yield.- Chapter 5: Transforming Agriculture: Tech-Driven Solutions For Sustainable Chemical Reduction and Environmental Stewardship.- Chapter 6: Sustainable Climate-Smart Agricultural Automation In Changing Environment.- Chapter 7: EfficientNetB0 Deep Learning Model For Early Tomato Leaf Disease Prediction and Diagnosis.- Chapter 8: EfficientNetV2M-Based Deep Learning
Framework For Apple Leaf Disease and Pest Detection For Sustainable Agriculture.- Chapter 9: Multi-Model Deep Learning Approach For Robust Recognition of Medicinal Plants.- Chapter 10: Mobile Application Based System To Calculate Nutrients For Hydroponics Farming.- Chapter 11: A Cyber-Secure IoT Framework for Smart and Sustainable Agriculture.- Chapter 12: Communities and Resilience: Future Prospects of IoT-Based Agricultural Automation.
