Artificial Intelligence in Agriculture

This book provides a comprehensive introduction to Artificial Intelligence in agriculture, covering topics such as AI, machine learning, deep learning, computer vision, and expert systems. It is divided into two parts, with the first part discussing the impact of AI in agriculture and its branches, and the second part focusing on implementing algorithms and using machine learning, deep learning, and computer vision to build practical projects. The book aims to help readers understand the basics of AI, where it is applicable, and its different branches, which can be useful in various scenarios.

Format: Hardback
Length: 176 pages
Publication date: 23 November 2021
Publisher: Taylor & Francis Ltd

This comprehensive book serves as a valuable platform for individuals seeking to delve into the realm of Artificial Intelligence (AI) in the agriculture sector, whether they are beginners or looking to enhance their knowledge and applications. It provides a practical, hands-on exploration of various AI techniques, including machine learning, deep learning, computer vision, and expert systems, with clear examples to facilitate understanding. Additionally, the book covers the basics of Python, making it accessible to a wide range of readers.

The book is organized into two parts. The first part delves into the theoretical aspects of AI and its impact on agriculture, covering its branches and fundamentals. The second part focuses on implementing algorithms and utilizing different libraries of machine learning, deep learning, and computer vision to develop practical and visually appealing projects in real-time. By the end of this book, readers will have a solid understanding of what AI is, where it can be applied, and its diverse branches, which can be useful in various scenarios.

The reader will gain familiarity with the standard workflow for approaching and solving machine-learning problems, as well as how to address common issues that may arise. With the knowledge gained from this book, readers will be able to apply AI to tackle real-world problems such as crop health prediction, field surveillance analytics, plant species classification, and more.

It is worth noting that this book is co-published with NIPA, and T&F does not sell or distribute the hardback version in India, Pakistan, Nepal, Bhutan, Bangladesh, and Sri Lanka.

Weight: 404g
Dimension: 158 x 235 x 18 (mm)
ISBN-13: 9781032158105