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Empowering Farmers: An AI-Based Solution for Agricultural Challenges

  • Pancham Singh,
  • Mrignainy Kansal,
  • Gagan Tyagi,
  • Kamini Tanwar,
  • Aditya Pratap Singh,
  • R. K. Yadav

摘要

The Indian agriculture sector is essential for the nation's economy and employs a large number of people. Nevertheless, farmers face enduring challenges such as pricing, availability of quality inputs, loans, and market accessibility, which are promoted by a lack of knowledge about government efforts and technology. This research paper introduces an innovative AI-based solution designed to empower farmers through 24/7 support, regional language assistance, and integration with various communication platforms. Employing Intelligent Voice Assistants like Amazon Alexa and Apple Siri, the project offers real-time support and optimization of crop placement. Intelligent Voice Assistants, based on natural language understanding and voice recognition, automate agricultural procedures and eliminate language barriers. The study presents a rapidly evolving user service that enhances productivity and communication and is supported by voice recognition and internet fusion. The voice assistant promotes confidence by facilitating honest discussions between farmers and customers. This study introduces a new era in intelligent computer secretarial services, which will reduce interruptions, improve time management, and provide a unified communication platform. It promises more effective Voice Assistants for a wide range of applications, including agriculture. Future studies could involve integrating Learning Management Systems and investigating the data capabilities of the system to improve agricultural practises and learning experiences.