Langbeschreibung
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.
Inhaltsverzeichnis
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