Smart Irrigation System
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Updated
May 17, 2023 - Jupyter Notebook
Smart Irrigation System
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...
📊 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.
📊 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.
Crop prediction ML model developed for Bolt Hackathon using soil and climate data
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.
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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