
Smart Agritech
Robotics, AI, and Internet of Things (IoT) in Agriculture
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Smart Agritech
Robotics, AI, and Internet of Things (IoT) in Agriculture
About this book
The main goal of Smart Agritech: Robotics, AI, and Internet of Things (IoT) in Agriculture is to explore how emerging technologies such as robotics, artificial intelligence (AI), and IoT can be leveraged to improve efficiency, sustainability, and productivity in agriculture.
Agriculture has always been a vital sector of the global economy, providing food and raw materials for industries and households. However, with the growing population, changing climate conditions, and limited resources, the agriculture sector faces numerous challenges. To address these challenges, farmers and agricultural companies are turning to advanced technologies such as Robotics, Artificial Intelligence (AI), and the Internet of Things (IoT).
This exciting new volume provides a comprehensive overview of the latest technological advances in agriculture, focusing on these three cutting-edge technologies. The book will explore the potential benefits of these technologies in improving agricultural efficiency, productivity, and sustainability.
Whether for the veteran engineer, scientist in the lab, student, or faculty, this groundbreaking new volume is a valuable resource for researchers and other industry professionals interested in the intersection of technology and agriculture.
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Information
Table of contents
- Cover
- Table of Contents
- Title Page
- Copyright
- Preface
- 1 Introduction to Smart Farming: Definition, Importance and Trends
- 2 Overview of Robotics in Agriculture: Types and Applications
- 3 Digital Farming: The New Era of Agriculture-Opportunities and Challenges
- 4 Challenges and Barriers to Smart Farming Adaptation: A Technical, Economic, and Social Perspective
- 5 Sustainable Development in Agriculture: Soil Management
- 6 Concepts of Robotics, AI, and Internet of Things (IoT) in Agriculture
- 7 Data Analytics in Agriculture: Predictive Models and Real-Time Decision-Making
- 8 Examining the Role of IoT and AI in Revolutionizing Agriculture: A Smart Farming Approach
- 9 Smart AgriTech: Sensors & Networks
- 10 Internet of Things in Agriculture: Sensor, Network and Communication Protocol
- 11 An Irrigation System: Design, Implementation, and Benefits
- 12 Implementation of Smart Irrigation Systems
- 13 Smart Plant-Based Wastewater Treatment for Agricultural Irrigation Systems
- 14 Drones in Agriculture: Mapping, Monitoring, and Decision-Making
- 15 Investigation of Banana Plant Disease Detection Using Transfer Learning
- 16 Exploring Dataset for Apple Leaf Disease Detection: A Focus on Horticulture
- 17 Optimizing Crop Yield Prediction Using Machine Learning Algorithms
- 18 Analyzing Smart Farming Technologies: A Study on Indian Farmers’ Adoption Trends
- 19 Leveraging Linear Regression Model to Address Food Insecurity in the United States: A Smart Agritech Approach
- About the Editors
- Index
- Also of Interest
- End User License Agreement