A Unified Intelligent System for Weather Forecasting, Soil Analysis, and Crop Disease Detection

Author(s)	Mr. Amritanshu Bhardwaj, Prof. Pramoda R
Country	India
Abstract	Agriculture is turning to modern technological solu- tions such as AI and IoT technologies to help overcome problems associated with crop production, detection of diseases, and variable environment. In this paper, the implementation of an all- in-one AI-based solution called FarmMate is introduced in order to help farmers make informed decisions about agriculture. Far- mMate is a comprehensive AI-based solution which includes deep learning models, weather forecasting, plant disease detection, soil testing, and conversational AI technologies. By utilizing Google Gemini, Streamlit, and LSTM-based prediction technologies, the system provides precise weather predictions, plant health moni- toring, and valuable agricultural recommendations. Additionally, through using OpenWeatherMap APIs, Plotly data visualization, and LangChain conversational interfaces, FarmMate provides ac- cessible information for users. Evaluations show that FarmMate has excellent weather prediction capabilities, accurately classifies plant diseases, and provides actionable insights.
Field	Computer
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-05-18

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