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

This volume bridges scientific research with applied horticultural practices by examining the taxonomy, cultivation, ecological significance and conservation of ornamental and medicinal plants such as Fritillaria, Gladiolus, and Saffron. This book explores environmental requirements and sustainable cultivation methods by covering topics from plant morphology and classification to seed and vegetative propagation techniques-including tissue culture. Chapters also highlight the ethnobotanical value of these species and the challenges posed by habitat loss and overharvesting, offering practical conservation strategies to mitigate human impact. Key features: Details morphological and taxonomic insights Presents propagation techniques including advanced tissue culture Discusses soil, climate, and ecological needs for optimal cultivation Highlights traditional medicinal and ornamental applications Emphasizes conservation strategies for protecting wild populations