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 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, you’ll have an understanding of what Artificial
Intelligence is, where it is applicable, and what are its different branches,
which can be useful in different scenarios. You’ll be familiar with the standard
workflow for approaching and solving machine-learning problems, and you’ll
know how to address commonly encountered issues. You’ll 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.,
Authors are thankful to the publisher for the support and encouragement to
write this book