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Artificial Intelligence in Agriculture (Hardback, Rajesh Singh & Anita Gehlot, Mahesh Kumar Prajapat & Bhupendra Singh)

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We at NIPA when look back at the journey that started 47 years ago, we feel humbled. Sh Shree Pal Jain, the Founder, started the firm with just one room, one table and a set of chairs; with his sheer dedication, hard work, commitment and to develop everlasting relationships, throughout these nearly five decades have developed a customer centric and value-based company.

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Overview

"This book is a comprehensive resource for individuals who wish to explore the potential of Artificial Intelligence (AI) in agriculture, either for the purpose of gaining a foundational understanding or expanding their existing knowledge. The book provides readers with a practical, hands-on approach to learning about AI, machine learning, deep learning, computer vision, and expert systems, with real-world examples to aid comprehension. Furthermore, the book includes an introduction to the basics of Python programming, making it accessible to readers with little or no prior programming experience. The book is divided into two parts: the first part covers the fundamentals of AI in agriculture, including its various branches and their applications. The second part focuses on the implementation of algorithms and the use of different machine learning, deep learning, and computer vision libraries to develop practical and insightful projects.

Product Description

"This book is a comprehensive resource for individuals who wish to explore the potential of Artificial Intelligence (AI) in agriculture, either for the purpose of gaining a foundational understanding or expanding their existing knowledge. The book provides readers with a practical, hands-on approach to learning about AI, machine learning, deep learning, computer vision, and expert systems, with real-world examples to aid comprehension.

Furthermore, the book includes an introduction to the basics of Python programming, making it accessible to readers with little or no prior programming experience. The book is divided into two parts: the first part covers the fundamentals of AI in agriculture, including its various branches and their applications. The second part focuses on the implementation of algorithms and the use of different machine learning, deep learning, and computer vision libraries to develop practical and insightful projects.

Upon completion of this book, readers will have gained an understanding of the various branches of AI and their applicable scenarios, as well as the standard workflow for approaching and solving machine-learning problems. Additionally, readers will be equipped with the skills necessary to tackle real-world problems in the agriculture sector, such as crop health prediction, field surveillance analytics, and the recognition of plant species. With this knowledge, readers will be well-prepared to leverage the power of AI in the agriculture field.

"


Content


"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

"


Description provided by nipa genx electronic resources & solutions.

Specifications

Title Artificial Intelligence in Agriculture
Authors Rajesh Singh, Anita Gehlot, Mahesh Kumar Prajapat, Bhupendra Singh
Format Hardback
Topics Covered Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Python Programming
Target Audience Farmers, agricultural specialists, researchers, and students
Publication Year 2023
Publisher Not Specified

Use cases

Category agriculture > agriculture and farm consultants > hi-tech agriculture consultants
Primary application Wholesale, distribution, and international sourcing
Brand nipa
Product type Product

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Lead time On request
Packaging As per buyer requirement
Storage condition As recommended by supplier
Origin India
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Minimum order 1 Unit
Lead time On request
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Common questions B2B buyers ask before sourcing Artificial Intelligence in Agriculture (Hardback, Rajesh Singh & Anita Gehlot, Mahesh Kumar Prajapat & Bhupendra Singh). Answers compiled from verified sellers' commercial terms and platform data.

Q: What is the primary focus of 'Artificial Intelligence in Agriculture'?
A: The book focuses on the transformative applications of AI in the agricultural sector, providing foundational knowledge as well as practical project implementation.
Q: Can beginners understand this book?
A: Yes, the book includes an introduction to Python programming and is designed to be accessible for readers with little or no prior programming experience.
Q: What are some applications covered in the book?
A: The book covers applications such as crop health prediction, field surveillance analytics, and plant species recognition.
Q: Is there a structured approach to learning in this book?
A: Yes, the book is divided into two clear parts, with the first part focusing on fundamentals and the second on practical implementation.
Q: Who would benefit from reading this book?
A: Farmers, agricultural technologists, researchers, and students interested in the intersection of technology and agriculture will all benefit from this resource.
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