Application of Machine Learning in Agriculture 1st edition – Ebook PDF Instant Delivery – ISBN(s): 9780323905503,0323905501, 9780323906685, 0323906680
Product details:
- ISBN-10 : 0323906680
- ISBN-13 : 9780323906685
- Author:
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.
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 analytics system for monitoring and livestock monitoring
Section 2: Market, technology and products
Chapter 4 – Agricultural economics
Chapter 5 – Current and prospective impacts of digital marketing on the small agricultural stakeholders in the developing countries
Chapter 6 – Intelligent farming system through weather forecast support and crop production
Chapter 7 – Deep learning-based prediction for stand age and land utilization of rubber plantation
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 classification
Chapter 11 – Smart fence to protect farmland from stray animals
Chapter 12 – Enhancing crop productivity through autoencoder-based disease detection and context-aware remedy recommendation system
Chapter 13 – UrbanAgro: Utilizing advanced deep learning to support Sri Lankan urban farmers to detect and control common diseases in tomato plants
Chapter 14 – Machine learning techniques for agricultural image recognition
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