Precision agriculture is a next-generation farming management concept that optimizes resource use productivity quality profitability and sustainability by observing and responding to crop variability. Precision agriculture employs digital technologies such as the Internet of Things (Io T) artificial intelligence (AI) 5G communication cybersecurity edge computing cloud-native principles and blockchain to ensure crops and soil receive exactly what they need for optimal health and productivity. Artificial Intelligence for Precision Agriculture explores the latest developments in precision agriculture detailing how AI contributes to its goals. The book discusses how precision agriculture solutions use Io T devices data storage AI analytics connectivity and cloud infrastructures to analyze factors such as soil type terrain weather plant growth and yield data. It also examines edge technologies-sensors microchips beacons RFID tags robots drones and actuators-that collect field data and transmit it to cloud-based AI platforms for analysis. The book shows how AI-driven insights guide actions in the field such as crop rotation optimal planting and harvesting times and soil management and help farmers apply the right amounts of water fertilizers and pesticides reducing waste and environmental impact. Applications covered in the book include: Drone-based high-resolution field mapping Tracking crops Crop yield assessments Data collection for irrigation fertilization and crop management Advanced weather monitoring Equipment management With chapters on AI model development plant disease detection and remediation sustainable farming techniques data integration AI-enabled data analytics and knowledge visualization this book is a comprehensive guide to technologies and applications in precision agriculture.|Artificial Intelligence for Precision Agriculture | Software Networking & Security
