Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

Artificial Intelligence in Agriculture - Research Book

Artificial Intelligence in Agriculture - Research Book

Essential Research Book for Artificial Intelligence in Agriculture

Author(s) Name:  Rajesh Singh, Anita Gehlot, Mahesh Kumar Prajapat, Bhupendra Singh

About the Book:

   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.

Table of Contents

  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

ISBN:  9781032158105

Publisher:  CRC Press Publisher

Year of Publication:  2021

Book Link:  Home Page Url