Application of Machine Learning in Agriculture Mohammad Ayoub Khan

Application of Machine Learning in Agriculture – Ebook Instant Download/Delivery ISBN(s): 9780323905503,0323905501

Product details:

• ISBN-10 ‏ : ‎ 0323905501
• ISBN-13 ‏ : ‎ 978-0323905503
• Author(s): Mohammad Ayoub Khan, Rijwan Khan, Mohammad Aslam Ansari

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.

Table contents:

Section 1: Fundamentals of smart agriculture

Chapter 1. Machine learning-based agriculture

Chapter 2. Monitoring agricultural essentials

Chapter 3. Machine learning-based remote monitoring and predictive

Section 2: Market, technology and products

Chapter 4. Agricultural economics

Chapter 5. Current and prospective impacts of digital marketing on the small agricultura

Chapter 6. Intelligent farming system through weather forecast support and crop pr

Chapter 7. Deep learning-based prediction for stand age and land utilization of ru

Section 3: Tools and techniques

Chapter 8. Modeling techniques used in smart agriculture

Chapter 9. Plant diseases detection using artificial intelligence

Chapter 10. A deep learning-based approach for mushroom diseases classific

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