Application of Machine Learning in Agriculture
Editat de Mohammad Ayoub Khan, Rijwan Khan, Mohammad Aslam Ansarien Limba Engleză Paperback – 19 mai 2022
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.
- Addresses the technology of smart agriculture from a technical perspective
- Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop
- Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture
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Specificații
ISBN-13: 9780323905503
ISBN-10: 0323905501
Pagini: 330
Ilustrații: 220 illustrations (50 in full color)
Dimensiuni: 191 x 235 mm
Greutate: 0.57 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323905501
Pagini: 330
Ilustrații: 220 illustrations (50 in full color)
Dimensiuni: 191 x 235 mm
Greutate: 0.57 kg
Editura: ELSEVIER SCIENCE
Cuprins
Part 1: Fundamentals of Smart Agriculture
1. Machine learning based Agriculture
2. Monitoring agriculture essentials
3. Livestock management in agriculture
Part 2: Market, Technology and products
4. Agriculture Economics
5. Digital Marketing and its impact
6. Technology and products
Part 3: Tools and Techniques
7. Modeling Techniques used in Smart Agriculture
8. Diseases detection
9. Food Security
10. Medicines Care Management
11. Detection and diagnosis of plant diseases
12. Machine Learning Technique for agriculture image recognition
1. Machine learning based Agriculture
2. Monitoring agriculture essentials
3. Livestock management in agriculture
Part 2: Market, Technology and products
4. Agriculture Economics
5. Digital Marketing and its impact
6. Technology and products
Part 3: Tools and Techniques
7. Modeling Techniques used in Smart Agriculture
8. Diseases detection
9. Food Security
10. Medicines Care Management
11. Detection and diagnosis of plant diseases
12. Machine Learning Technique for agriculture image recognition