Bücher
Service
Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning.
As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development.
This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics.
Part 1: Fundamentals of Smart Agriculture1. Machine learning based Agriculture2. Monitoring agriculture essentials3. Livestock management in agriculturePart 2: Market, Technology and products4. Agriculture Economics5. Digital Marketing and its impact6. Technology and productsPart 3: Tools and Techniques7. Modeling Techniques used in Smart Agriculture8. Diseases detection9. Food Security10. Medicines Care Management11. Detection and diagnosis of plant diseases12. Machine Learning Technique for agriculture image recognition
