Category: Software (AgriTech / Sustainability)
Difficulty: Intermediate
Time to Build: 4–6 weeks
Prerequisites: Basics of Python or Ruby, web development (Jekyll/React/Node), SQL for optional analytics
Deliverables: SRS, database schema, architecture diagram, Jekyll-based working website, test report, live demo.
Problem Statement & Expected Outcome
Problem Statement
Agriculture consumes a major share of global freshwater resources. Farmers, researchers, and policymakers need an easy way to measure and visualize the water footprint of different crops and food products.
Expected Outcome
A multilingual, data-driven web platform where users can instantly see and compare the green, blue, and grey water footprint of crops. The system will be scalable, easy to maintain, and ready for regional customization.
Abstract
This project delivers a digital platform that calculates and visualizes the water required to produce agricultural products. Built on open data and web technologies, it enables sustainable irrigation planning and consumer awareness. The site can be localized with Indian crop datasets and integrated with weather or irrigation APIs for advanced analytics.
Details: User Stories & Acceptance Criteria
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As a farmer, I can view crop-wise water footprints for my region.
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As a policymaker, I can export crop water use reports.
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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.
Scope & Modules
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.
Proposed Architecture & Tech Stack
Option A (Lightweight Static Site)
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Core framework: Jekyll
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Languages: HTML, SCSS, Ruby
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Hosting: GitHub Pages or Netlify
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Data files stored in _data directory for easy updates
Option B (Dynamic Web App)
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Backend: Node.js or Django
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Database: PostgreSQL or Supabase
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Frontend: React or Next.js
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Visualization: D3.js or Chart.js
KPIs & Analytics
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Average page-load time
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Number of crop comparisons per session
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Frequency of dataset updates
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Downloads of exported reports
Milestones & Timeline
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Week 1: SRS, dataset selection, and wireframes
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Week 2: Build base Jekyll site or React prototype
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Week 3: Integrate crop data and calculation engine
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Week 4: Add visualization and export modules
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Week 5: Add regional datasets and multi-language support
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Week 6: Testing, documentation, and deployment
Who It’s For
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Students and Capstone Teams seeking an environmental IoT/AgriTech project
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Instructors designing sustainability or environmental science labs
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Institutions & NGOs promoting water conservation and policy planning
Progress Checklist
- Base Jekyll/React site deployed
- Crop dataset imported and verified
- Calculation engine tested
- Visualization and export features working
- Multi-language support enabled
Resources & Links
Download Project Kit