International Conference on “Large Language Models and Use cases” 2023 |
Control System labs |
LLMUC2023 - Number 1 |
None 2025 |
Authors: Isha Desai, Jessica Lalchandani, Trishala Jeswani, Sujata Khedkar |
Isha Desai, Jessica Lalchandani, Trishala Jeswani, Sujata Khedkar . E-Krushi: Agricultural Assistance using Deep Learning and Natural Language Processing. International Conference on “Large Language Models and Use cases” 2023. LLMUC2023, 1 (None 2025), 23-30.
Agriculture is one of the main contributing sectors in the Indian economy. There are various issues hampering the growth of agricultural production in India. Plant disease is one major problem among others. The system proposes to aid the farmers in combating and taking quick actions to prevent losses due to disease proliferation. Deep learning tools are employed to generate analysis for the same. The farmers can acquire a quick analysis of the plant’s health by providing an image of the plant’s leaf. The application provides facilities to interact in various regional languages in order to cater the needs of its vernacular audience. Natural language processing techniques are used to translate the queries of the farmers. A website and an android application are a part of the proposed solution in order to provide a user-friendly interface. Chatbot embedded in the application and the website will assist the farmers with their queries by providing multilingual support.