International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
AgroSmart Using MERN Stack Roshni.U.Pawar1, Anuja.C.Kanse2, Rohini.A.Vaddikar3, Sayali.R.Patil4 1,2,3,4 Department of Computer Science & Engineering Padmabhooshan Vasantraodada Patil Institute of
Technology (PVPIT),Budhgaon ( Sangli ), India ---------------------------------------------------------------------***--------------------------------------------------------------------ABSTRACT - Agro Smart is a state-of-the-art web application designed to empower farmers with data-driven insights and tools. Built on the robust MERN stack, this platform offers a comprehensive solution for optimizing agricultural practices.
transforming the agricultural landscape. AgroSmart leverages modern web technologies, particularly the MERN stack (MongoDB, Express.js, React, Node.js), to provide farmers with a user-friendly solution that enhances their access to markets and expert support.
The Agro Smart website is a powerful marketplace that connects farmers directly to consumers and buyers. Our platform simplifies the supply chain, eliminates intermediaries, and ensures fair prices for agricultural products. By empowering farmers to market their produce directly, we contribute to economic growth and rural development.
This platform enables farmers to upload images of their crops, receive AI-driven assistance using ChatGPT, and connect directly with consumers to sell their produce — eliminating middlemen and increasing their profit margins. By efficiently managing agricultural data through MongoDB and ensuring real-time interaction, AgroSmart offers a scalable and transparent solution to promote sustainable farming practices. Through this digital transformation, AgroSmart aims to bridge the gap between farmers and consumers, foster a transparent supply chain, and contribute to the overall growth of India's agricultural sector.
Agro Smart is an innovative web platform designed to empower farmers with data-driven insights and resources to enhance their agricultural pratices. The platform integrates real-time data collection, advanced analytics, and user-friendly tools to provide farmers with valuable information on crop health, soil conditions, weather forecasts, and market trends. By leveraging technology, Agro Smart aims to bridge the information gap between farmers and agricultural experts, enabling them to make informed decisions and optimize their yields. Additionally, the platform offers a centralized repository of agricultural knowledge, including best practices, expert advice, and educational resources. Through its comprehensive suite of features, Agro Smart empowers farmers to improve their productivity, reduce costs, and ensure sustainable agricultural practices.
OBJECTIVES 1.To develop a user-friendly and easily accessible web application that enables farmers to interact with the system seamlessly, regardless of their technical background. 2. To establish a direct communication bridge between farmers and customers, eliminating middlemen and ensuring better profit margins for farmers and fair prices for consumers.
Key Words: MERN , Agriculture, web Application, Easy to use,MongoDB for Agricultural,Smart Agriculture,AI in Agriculture,ChatGPT in Farming,Agricultural ChatBot,Image-based Crop Diagnosis.
3. To integrate AI-driven crop advisory support using ChatGPT, allowing farmers to receive instant suggestions or diagnoses based on uploaded crop images. 4. To leverage the MERN stack for building a scalable and efficient platform that supports real-time interaction and data flow.
INTRODUCTION Indian agriculture, the backbone of the nation’s economy, supports the livelihood of millions. Despite its significance, the sector continues to face numerous challenges, including low productivity, market inefficiencies, limited access to modern technologies, and a lack of direct market connectivity for farmers. Traditional farming practices often result in lower yields and make crops more vulnerable to pests and diseases.
A. MODULES OF PROJECT 1. Admin Module User Management – Add, update, or remove users (farmers, consumers). Product Approval – Review and approve items listed by farmers.
To address these challenges, the AgroSmart project introduces a smart, web-based platform aimed at
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