Artificial Intelligence in Agriculture
23 Nov. 2021
Author: Rajesh Singh ,Anita Gehlot,Mahesh Kumar Prajapat,Bhupendra Singh(Author)
Publisher finelybook 出版社: CRC Press; 1st edition (23 Nov. 2021)
Language 语言: English
Print Length 页数: 186 pages
ISBN-10: 1032158107
ISBN-13: 9781032158105
Book Description
By finelybook
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.
Table of contents:
Cover
Half Title
About the Authors
Title Page
Copyright Page
Preface
Table of Contents
Part A: Fundamental of Artificial Intelligence
Chapter 1 Artificial Intelligence
Chapter 2 Learning Python for Artificial Intelligence
Chapter 3 Machine Learning
Chapter 4 Deep Learning
Chapter 5 Computer Vision
Chapter 6 Knowledge Based Expert System
Part B: Implementation of Artificial Intelligence
Chapter 7 Tools for Artificial Intelligence
Chapter 8 Important Libraries for AI
Chapter 9 Machine Learning Algorithms
Chapter 10 Disease Classification and Detection in Plants
Chapter 11 Species Recognition in Flowers
Chapter 12 Precision Farming
Artificial Intelligence in Agriculture 9781032158105.pdf
