SmartAgroHub: A Market Place For Farmer-Customer, Along with Crop Prediction and Chatbot

Abstract

SmartAgroHub is a comprehensive digital platform designed to modernize the agricultural ecosystem by integrating e-commerce services, AI-driven crop prediction, intelligent chatbot assistance, and a community-supported donation system into a single unified solution. The platform addresses key challenges faced by small and marginal farmers, including limited market access, price exploitation, lack of technical knowledge, and insufficient financial support. Through SmartAgroHub, farmers can directly list their products online, manage inventory with expiry-date tracking, update stock information, and connect with customers without intermediaries, ensuring fair pricing and transparency. Customers can browse categorized farm produce, view detailed product information, manage wishlists, and place secure orders through an intuitive interface. The system\'s data-based crop prediction module analyzes historical data and environmental factors to provide farmers with accurate recommendations for crop selection, yield estimation, and seasonal planning. An integrated AI chatbot offers real-time assistance by answering agricultural queries, guiding users through the platform, and providing personalized suggestions. Additionally, the donation feature enables individuals and organizations to contribute financial or resource-based support to farmers in need, enhancing agricultural welfare and community engagement. Developed using the MERN stack—MongoDB, Express.js, React, and Node.js—the platform ensures strong performance, secure authentication, real-time data handling, and scalable architecture. Overall, SmartAgroHub demonstrates how modern technologies can transform traditional farming by enabling digital market access, improving decision-making, enhancing productivity, and building a sustainable, inclusive, and technologically empowered agricultural ecosystem.

Introduction

Agriculture remains a vital global sector, but small and marginal farmers face challenges such as low prices, limited market access, lack of technological awareness, and minimal financial support. Traditional systems are opaque, reducing profits for farmers and reliability for consumers. SmartAgroHub addresses these issues by providing a unified digital platform that integrates e-commerce, AI-based crop prediction, intelligent chatbot support, and a donation system. The platform allows farmers to manage inventory, track expiry dates, list products online, and connect directly with consumers, while customers can browse, order, and pay securely.

The crop prediction module uses historical agricultural data and environmental parameters to provide actionable recommendations for crop selection and yield forecasting. The AI chatbot offers real-time guidance, and the donation module enables financial or resource support for farmers, promoting social sustainability. Built on the MERN stack, SmartAgroHub ensures scalability, real-time data updates, and secure operations.

Experimental evaluation confirmed high functional accuracy (98% workflow success), robust performance under moderate user loads, and reliable AI outputs (81–84% crop prediction accuracy, 87% chatbot intent recognition). Transaction processing, product expiry detection, and donation management also performed effectively. The integrated system enhances transparency, empowers farmers, supports informed decision-making, reduces intermediary dependency, and encourages digital adoption, providing a comprehensive, technologically-enabled agricultural ecosystem.

Conclusion

The development of SmartAgroHub demonstrates how carefully integrated digital technologies—such as e-commerce, AI-driven crop prediction, intelligent chatbot assistance, donation management, and secure payment processing—can transform the agricultural ecosystem into a more inclusive, efficient, and sustainable digital platform. The system successfully bridges the gap between farmers and consumers by enabling farmers to list fresh produce, track expiry dates, manage inventories, and receive direct payments, while customers benefit from a transparent interface offering detailed product information, wishlists, search filters, and seamless order tracking. The integration of machine-learning-based crop prediction empowers farmers with data-driven insights, helping them make informed decisions that improve yield outcomes and reduce economic uncertainty. Additionally, the donation module strengthens social impact by enabling individuals and organizations to support farmers during financial hardships, thereby making agriculture more resilient and human-centered. The platform\'s MERN-based architecture ensures scalability, security, and reliability, while backend optimizations enable fast data retrieval and smooth system operations. Experimental evaluations further validated the robustness of key modules, including high accuracy in crop prediction, quick chatbot response times, stable system performance under concurrent usage, and seamless synchronization between frontend, backend, and database layers. Overall, SmartAgroHub succeeds in providing a unified digital agricultural marketplace that reduces intermediaries, enhances profitability for farmers, improves accessibility for consumers, and encourages technological adoption in rural communities.

References

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Copyright

Copyright © 2025 Dhiraj Kadam, Neha Kadam, Anushka Gadekar, Ganesh Mhaske, Chaitanya Munde, Subhash Deokar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.