Smart Irrigation System
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Updated
May 17, 2023 - Jupyter Notebook
Smart Irrigation System
📊 Agri Data Explorer – A Data Science mini project using Python, Streamlit, Plotly, SciPy, and Power BI to analyze and visualize Indian agricultural data with SQL integration.
Rhizomatic Systems management of the @Grow-Dojo project, a modular agricultural automation system with a focus on high security and broad range of deployment options. Hydroponics, Aquaponics, Traditional Farming, Closed Environment Agriculture, Greenhouse, etc...
Crop prediction ML model developed for Bolt Hackathon using soil and climate data
📊 A Power BI project that analyzes agricultural productivity across Indian states using rainfall, fertilizer usage, pesticide application, and yield data. The interactive dashboard allows users to explore crop-wise and state-wise performance, identify key influencers, and derive actionable insights for improving agricultural outcomes.
An interactive Q&A system that extracts actionable insights from agricultural data (1997–2014). It combines efficient EDA, a rule-based query engine, and a Gradio interface to answer questions on crop yields, rainfall, and production. Built in Jupyter Notebook with a modular, extensible pipeline.
India's Agricultural Crop Production Analysis using SQL, Tableau, and Data Analytics.
A Power BI dashboard analyzing global agricultural data. Transformed raw datasets via ETL processes, built a star schema data model, and created interactive visualizations to track production trends, regional performance, and top crops.
📊 Agri Data Explorer – A Data Science mini project using Python, Streamlit, Plotly, SciPy, and Power BI to analyze and visualize Indian agricultural data with SQL integration.
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