Case Study | Megh Mitr
Managix developed Megh Mitr as a mobile application and CMS ecosystem under the Meghdoot scheme to deliver location-aware weather forecasts, crop advisories, feedback collection and department-level advisory management for the farming community.
System Flow
The platform connects weather forecast data from IMD/NWP models, a CMS portal for agriculture and agrometeorology teams, crop-level advisory publishing, push notifications, farmer registration and app-based feedback so decisions can move from experts to farmers and back to the department.
Problem
Agriculture teams needed a way to publish weather-based crop advisories at block and crop level, while farmers needed simple access to location-specific forecasts and actionable recommendations in a mobile-first format.
Solution
We delivered a CMS portal for advisory management, farmer records, feedback forms, reports and admin access, along with a Hindi-first mobile app for registration, weather forecast viewing, advisory reading, crop filtering, feedback and user settings.
Mobile Application
The Android app allows farmers to register using personal and location details such as district, block and gram panchayat, view forecasts for their area and receive advisories relevant to their crops and weather conditions.
CMS Portal
The CMS supports dashboards, advisory menu, feedback menu, farmer list, admin user list, crop management, manual advisory entry, AI-based advisory generation and push notifications to farmers.
Advisory Intelligence
The advisory database was redesigned to map advisory content with crop type and block-level needs, enabling farmers to filter advisories based on crops of interest while CMS users could generate or manually add advisories.
Feedback System
Feedback forms helped the department understand advisory usefulness and farmer response. The CMS provides feedback reports and analytics so teams can evaluate how advisories perform on the ground.
Technology Stack
Megh Mitr used Ubuntu 18, NodeJS, ExpressJS, Angular, Ionic Framework, Angular Native, MongoDB, CKEditor for content creation, RESTful APIs and JSON-based data exchange between the server, CMS and mobile app.
Validated Workflows
The UAT workbook documented pass-tested workflows for the admin portal and mobile app, including login, dashboard, advisory list, add advisory, AI-based advisory generation, farmer list, admin user management, crop management, logout, splash screen, notification routing, registration, weather forecast, advisory viewing and crop filters.
User context, stakeholder needs, personas, site maps, screen flows, wireframes and high-fidelity designs were created for farmer and department workflows.
The admin CMS was developed for advisory creation, feedback forms, farmer records, admin users, crops, reporting and push notification operations.
The farmer app was built for registration, district-block-panchayat context, weather forecasts, crop advisories, feedback and user settings.
The project was delivered through agile sprint cycles with code review, testing, UAT scripts, documentation and completion reporting.
Outcome
Megh Mitr helped bridge the gap between agronomists, agriculture teams and farmers by delivering weather forecasts, early warnings, crop-specific advisories, push notifications and feedback workflows through a connected mobile and CMS ecosystem.