Smart Agriculture Data Visualization and Crop Yield Prediction Platform
Plag ProAgritech & Agricultural Data Analytics IndustryProject Objectives:
Design a data visualization system that analyzes agricultural data such as soil quality, rainfall, and crop yields. The system should provide predictive insights and interactive dashboards to assist farmers and agricultural planners in improving crop productivity.
Project Tasks:
Collect agricultural datasets (soil, rainfall, crop production).
Preprocess and clean data.
Design database schema for farm data.
Implement crop yield prediction model.
Add filtering options.
Implement graphical KPI indicators.
Test predictive accuracy.
Deploy system.
Prepare documentation.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Iot Data Integration & Sensor AnalyticsPython (Pandas, Scikit-Learn, Tensorflow)Time-Series & Regression ModelingSql & Agricultural Data ModelingDashboard Development (Power Bi / Plotly / Tableau)
