Sustainable Agriculture Applications Using Large Language Models

Sustainable Agriculture Applications Using Large Language Models book cover

Sustainable Agriculture Applications Using Large Language Models

Author(s): Raghavendra M. Devadas (Author), Vani Hiremani (Editor), Praveen Gujjar Jagannath (Editor), Lubna Ambreen (Editor), Harold Andrew Patrick (Editor)

  • Publisher finelybook 出版社: Bentham Science Publishers
  • Publication Date 出版日期: August 28, 2025
  • Language 语言: English
  • Print length 页数: 130 pages
  • ASIN: B0FPQ95QTK
  • ISBN-13: 9798898810191

Book Description

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.

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