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Innovative AI Technologies Driving Sustainable Farming: Strategies for Improving Food Security / edited by Aboul Ella Hassanien, Ashraf Darwish.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Hassanien, Aboul Ella.
- Series:
- Studies in Systems, Decision and Control, 2198-4190 ; 634
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Agriculture.
- Food science.
- Computational Intelligence.
- Artificial Intelligence.
- Food Science.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Agriculture.
- Food Science.
- Physical Description:
- 1 online resource (448 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This groundbreaking book explores cutting-edge AI applications—from disease detection in crops to yield prediction and food quality classification—empowering farmers, researchers, and policymakers to build a more resilient and sustainable food system. With real-world case studies and advanced methodologies, it offers a powerful roadmap for leveraging AI to enhance productivity, reduce waste, and ensure global food security.
- Contents:
- Section I: AI and Deep Learning for Disease Detection and Plant Health
- Section II: Optimization and Deep Learning for Yield Prediction and Crop Management
- Section III: AI and Deep Learning for Fruit and Vegetable Classification
- Section IV: Generative and Multi-Label Learning for Food Analysis.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-05701-9
- 9783032057013
- OCLC:
- 1572098274
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