Digital Technology to Calculate Water Footprints for Agricultural Products

• As a farmer, I can view crop-wise water footprints for my region.

• As a policymaker, I can export crop water use reports.

• As a student, I can compare green, blue, and grey water footprints for selected crops.
  
  Acceptance: Dashboard loads within 2 seconds; all graphs update dynamically when new data is uploaded; CSV export works in one click.
  

Module 1: Data Management

Collect and update datasets on crop water use (green, blue, grey water).

Module 2: Calculation Engine

Compute per-product footprints and convert them into visual charts.

Module 3: Visualization Dashboard

Interactive graphs for comparing multiple crops or regions.

Module 4: Export & Reporting

One-click CSV or PDF reports for academic and policy use.

Module 5: Optional Extensions

APIs for weather data, irrigation scheduling, or regional rainfall overlays.

Option A (Lightweight Static Site)

• Core framework: Jekyll

• Languages: HTML, SCSS, Ruby

• Hosting: GitHub Pages or Netlify

• Data files stored in _data directory for easy updates

Option B (Dynamic Web App)

• Backend: Node.js or Django

• Database: PostgreSQL or Supabase

• Frontend: React or Next.js

• Visualization: D3.js or Chart.js
  

• Average page-load time

• Number of crop comparisons per session

• Frequency of dataset updates

• Downloads of exported reports
  

• Week 1: SRS, dataset selection, and wireframes

• Week 2: Build base Jekyll site or React prototype

• Week 3: Integrate crop data and calculation engine

• Week 4: Add visualization and export modules

• Week 5: Add regional datasets and multi-language support

• Week 6: Testing, documentation, and deployment
  

• Students and Capstone Teams seeking an environmental IoT/AgriTech project

• Instructors designing sustainability or environmental science labs

• Institutions & NGOs promoting water conservation and policy planning