Application of Machine Learning in Agriculture

The book "Application of Machine Learning in Smart Agriculture" provides a comprehensive approach to using technology to improve agricultural output and economic efficiency. It covers the fundamentals of smart agriculture, the economics of the technology, and a diverse representation of tools and techniques. It is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology, and agricultural economics.

Format: Paperback / softback
Length: 330 pages
Publication date: 19 May 2022
Publisher: Elsevier Science & Technology

The application of machine learning in smart agriculture is a groundbreaking work that delves into the multifaceted ways in which technology can enhance agricultural output and economic efficiency. With a global perspective, this book takes a technical approach to the subject, offering valuable insights and knowledge for effective and efficient implementation and utilization of machine learning.

As artificial intelligence techniques are increasingly employed to optimize planting, fertilization, irrigation, and harvesting, it is essential to consider the economic investment and its optimized return within the broader context. Machine learning models continually improve over time as various mathematical and statistical models are proven and validated.

The book is organized into three parts, covering the fundamentals of smart agriculture, the economics of technology in the agricultural marketplace, and a diverse range of tools and techniques currently available and in development. This comprehensive resource is particularly valuable for advanced-level students and professionals working in the fields of artificial intelligence, the Internet of Things, technology, and agricultural economics.

By exploring the intersection of machine learning and smart agriculture, this book provides a roadmap for revolutionizing the agricultural sector and achieving sustainable food production. It sheds light on the potential of technology to address challenges such as climate change, resource scarcity, and food insecurity, while also promoting economic growth and prosperity.

As the world continues to grapple with the impacts of climate change and population growth, the application of machine learning in smart agriculture offers a promising solution. By leveraging the power of data and technology, farmers can make informed decisions and optimize their operations, leading to increased productivity, reduced waste, and improved environmental sustainability.

Furthermore, the use of machine learning in smart agriculture can help to bridge the gap between rural and urban communities, ensuring that food is accessible and affordable to everyone. By leveraging the power of technology, farmers can increase their yields, reduce their costs, and improve their quality of life, while also contributing to the overall well-being of society.

In conclusion, the application of machine learning in smart agriculture is a transformative force that has the potential to revolutionize the way we produce food. By providing valuable insights and knowledge for effective implementation and utilization, this book is an important resource for advanced-level students and professionals working in the fields of artificial intelligence, the Internet of Things, technology, and agricultural economics. As we continue to explore the possibilities of machine learning and smart agriculture, it is clear that the future of food production is bright and full of promise.

Weight: 674g
Dimension: 189 x 234 x 21 (mm)
ISBN-13: 9780323905503