Sustainable Agriculture Applications Using Large Language Models
Abstract
Sustainable Agriculture Applications Using Large Language Models examines how AI-powered tools can enhance decision-making, resource optimization, and knowledge dissemination across diverse agricultural contexts.
Spanning topics from crop management and pest control to water conservation and market analysis, the book features a multidisciplinary approach including real-world applications and case studies. It highlights how LLMs can support sustainable practices by analyzing agricultural data, improving communication with farmers, and enabling predictive insights. Special attention is given to ethical considerations and the responsible deployment of AI tools in rural and technologically evolving regions.
Key Features:
Demonstrates how LLMs support sustainable agriculture practices
Showcases AI-driven approaches in crop, pest, and water management
Presents real-world applications and case studies across regions
Explores ethical considerations and responsible AI deployment in agriculture
Analyzes LLM integration in agricultural education, communication, and policy
