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Empowering Women in Agriculture through Artificial Intelligence
Details
This book gives a complete view of agricultural gender dynamics by blending theoretical ideas with practical gender analysis methodologies. It argues that gender dynamics play a crucial yet often overlooked role in agricultural productivity, rural development, and food security. Examining historical, sociological, and technological factors that affect gender roles and relationships in agrarian settings, it reveals deep-seated inequalities that hinder agricultural development and proposes ways to create more equitable and productive agricultural systems. The pioneering ideas and studies of Ester Boserup, Bina Agarwal, Gerda Lerner, and Judith Butler provide a comprehensive framework for analysing and overcoming gender inequities in agriculture. The book gives a complete view of agricultural gender dynamics by blending theoretical ideas with practical gender analysis methodologies. This strategy equips readers with the information and skills to critically evaluate and address gender inequities in their work. It will appeal to students and researchers in gender studies, developmental studies, economics, and agriculture, as well as policymakers concerned with gender equity.
Explores gender dynamics in agricultural productivity and rural development using emerging technologies Highlights successful global case studies and best practices for promoting gender equity in agriculture Offers practical tools and methodologies for integrating technology in gender analysis
Autorentext
Sapna Jarial is an associate professor in the Department of Agricultural Economics and Extension at Lovely Professional University Punjab, India.
Chethan Patil N D is an scientist at the Indian Council of Agricultural Research, New Delhi, India.
Inhalt
1 Introduction.- 2 Gender and Artificial Intelligence.- 3 Agrarian Society and Gender Dynamics in the Tech Era.- 4 Applying Gender Perspective to AI in Agriculture: Concepts and Critiques.- 5 Methods of Gender Analysis.- 6 Climate Change, Gender and Digital Technology Intersection.- 7 Strategies for Gender Mainstreaming in Tech-Driven Agriculture.- 8 Women Empowerment in Tech Driven Agriculture.- 9 Conclusion.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783032084330
- Sprache Englisch
- Genre Social Sciences
- Lesemotiv Verstehen
- Anzahl Seiten 158
- Größe H210mm x B148mm
- Jahr 2026
- EAN 9783032084330
- Format Fester Einband
- ISBN 978-3-032-08433-0
- Titel Empowering Women in Agriculture through Artificial Intelligence
- Autor Sapna Jarial , Chethan Patil N D
- Herausgeber Springer-Verlag GmbH