Libro Artificial Intelligence In Agriculture De Singh, Rajesh ; Gehlot, Anita ; Prajapat, Mahesh K

portada Artificial Intelligence In Agriculture

Formato

Libro Físico

Autor

Rajesh Singh

Anita Gehlot

Mahesh Kumar Prajapat

Editorial

New India Publishing Agency- Nipa

Idioma

Inglés

N° páginas

188

Encuadernación

Tapa Dura

Dimensiones

22.9 x 15.2 x 1.6 cm

Peso

0.51 kg.

ISBN13

9789389547924

Categorías

Mecánica de suelos y rocas
Ciencias y gestión de suelos
Agronomía y producción agrícola

Artificial Intelligence In Agriculture

Rajesh Singh (Autor) · Anita Gehlot (Autor) · Mahesh Kumar Prajapat (Autor) · New India Publishing Agency- Nipa · Tapa Dura

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Reseña del libro "Artificial Intelligence In Agriculture"

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.