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Artificial Intelligence in Agriculture [Kõva köide]

, , (Uttaranchal University, India), (Schematics Microelectronics, Dehradun, INDIA)
  • Formaat: Hardback, 186 pages, kõrgus x laius: 229x152 mm, kaal: 500 g, 1 Tables, black and white; 78 Halftones, black and white; 78 Illustrations, black and white
  • Ilmumisaeg: 23-Nov-2021
  • Kirjastus: CRC Press
  • ISBN-10: 1032158107
  • ISBN-13: 9781032158105
Teised raamatud teemal:
  • Formaat: Hardback, 186 pages, kõrgus x laius: 229x152 mm, kaal: 500 g, 1 Tables, black and white; 78 Halftones, black and white; 78 Illustrations, black and white
  • Ilmumisaeg: 23-Nov-2021
  • Kirjastus: CRC Press
  • ISBN-10: 1032158107
  • ISBN-13: 9781032158105
Teised raamatud teemal:
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.

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.
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.
Preface vii
PART A Fundamental of Artificial Intelligence
Chapter 1 Artificial Intelligence
3(5)
Chapter 2 Learning Python for Artificial Intelligence
8(33)
Chapter 3 Machine Learning
41(9)
Chapter 4 Deep Learning
50(14)
Chapter 5 Computer Vision
64(9)
Chapter 6 Knowledge Based Expert System
73(10)
PART B Implementation of Artificial Intelligence
Chapter 7 Tools for Artificial Intelligence
83(14)
Chapter 8 Important Libraries for AI
97(9)
Chapter 9 Machine Learning Algorithms
106(31)
Chapter 10 Disease Classification and Detection in Plants
137(14)
Chapter 11 Species Recognition in Flowers
151(17)
Chapter 12 Precision Farming
168
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