AI in Agriculture for Sustainable and Economic Management

AI in Agriculture for Sustainable and Economic Management
Author :
Publisher : CRC Press
Total Pages : 251
Release :
ISBN-10 : 9781040098103
ISBN-13 : 104009810X
Rating : 4/5 (03 Downloads)

Book Synopsis AI in Agriculture for Sustainable and Economic Management by : Sirisha Potluri

Download or read book AI in Agriculture for Sustainable and Economic Management written by Sirisha Potluri and published by CRC Press. This book was released on 2024-08-01 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI. AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem. This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.


AI in Agriculture for Sustainable and Economic Management Related Books

AI in Agriculture for Sustainable and Economic Management
Language: en
Pages: 251
Authors: Sirisha Potluri
Categories: Computers
Type: BOOK - Published: 2024-08-01 - Publisher: CRC Press

DOWNLOAD EBOOK

This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examin
AI, Edge and IoT-based Smart Agriculture
Language: en
Pages: 578
Authors: Ajith Abraham
Categories: Technology & Engineering
Type: BOOK - Published: 2021-11-10 - Publisher: Academic Press

DOWNLOAD EBOOK

AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces E
Facilitating Sustainable Agriculture
Language: en
Pages: 348
Authors: N. G. Roling
Categories: Business & Economics
Type: BOOK - Published: 2000-09-21 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A move towards more flexible, sustainable agricultural practices is increasingly being seen as the way to address or avoid environmental and economic problems a
Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
Language: en
Pages: 400
Authors: Tomar, Pradeep
Categories: Technology & Engineering
Type: BOOK - Published: 2021-01-08 - Publisher: IGI Global

DOWNLOAD EBOOK

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart�
Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
Language: en
Pages: 35
Authors: El Bachir Boukherouaa
Categories: Business & Economics
Type: BOOK - Published: 2021-10-22 - Publisher: International Monetary Fund

DOWNLOAD EBOOK

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benef