Artificial Intelligence in Agriculture

1. Auflage 2021
ISBN: 978-1-032-15810-5
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 186 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 422 g

This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc.
Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA.

Zielgruppe

Postgraduate

Autoren/Hrsg.

Singh, Rajesh

Gehlot, Anita

Prajapat, Mahesh Kumar

Singh, Bhupendra

Fachgebiete

• Naturwissenschaften Biowissenschaften Botanik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften

Inhaltsverzeichnis

1. Artificial Intelligence 2. Learning Python for Artificial Intelligence 3. Machine Learning 4. Deep Learning 5. Computer Vision 6. Knowledge Based Expert System 7. Tools for Artificial Intelligence 8. Important Libraries for AI 9. Machine Learning Algorithms 10. Disease Classification and Detection in Plants 11. Species Recognition in Flowers 12. Precision Farming

Über Autor(innen)

Rajesh Singh, Lovely Professional University, Punjab, India

Anita Gehlot, Lovely Professional University, Punjab, India

Mahesh Kumar Prajapat, Lovely Professional University, Punjab, India

Bhupendra Singh, Schematics Microelectronics, India