Engineering Krishi-Route: A Real-Time Geospatial Logistics Engine (MERN + Leaflet)
Krishi-Route is a real-time geospatial logistics engine designed to optimize transportation costs for farmers in India. By pooling cargo from multiple farmers, the system aims to reduce the financial burden of transporting crops to market. The project utilizes a tech stack including React, Node.js, and MongoDB to facilitate efficient routing and cost-sharing.
- ▪Krishi-Route addresses the high transportation costs that negatively impact farmers' profits in India.
- ▪The system dynamically matches cargo from nearby farmers to share transport costs effectively.
- ▪It employs a tech stack of React, Node.js, and MongoDB to handle geospatial queries and routing.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3824229) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } SRIHARI P V Posted on Jun 3 Engineering Krishi-Route: A Real-Time Geospatial Logistics Engine (MERN + Leaflet) #architecture #react #mongodb #node Logistics is the silent killer of agricultural profit. In India, a farmer's margin is often destroyed not by the harvest itself, but by the sheer cost of transporting a partial truckload of crops to the market. I wanted to solve this at the architectural level.
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