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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 22160
Article Published : 8692
Total Authors : 22874
Total Reviewer : 819
Total Countries : 160
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Published Paper Details
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| Paper Title: | A Digital Platform for Connecting Local Farmers with Markets |
| Authors Name: | Naveen Kumar S , Sathya C , Dhanavel T , Gokul M , Surya S |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204223
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| Published Paper Id: | IJRTI2505266 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | This project presents an integrated AI-powered agricultural dashboard that combines crop disease prediction, crop recommendation, market price detection, weather forecasting, and a streamlined sales and delivery management system. Designed with a button-based interactive interface, the dashboard provides farmers and users with seamless access to essential agricultural insights and services.The Crop Disease Prediction module enables users to input text-based symptoms. Through natural language text preprocessing and feature extraction, the system employs Generative AI models to analyze the input and predict the most probable crop diseases. This assists farmers in early disease detection, minimizing crop loss and improving yield quality.The Crop Recommendation module provides year-wise suggestions for five optimal crops based on seasonal trends, historical data, and region-specific characteristics. Each recommendation includes detailed crop information to support informed decision-making for better agricultural planning.The Price Detection module performs a comparative market analysis to predict and display current crop prices across various markets, enabling farmers to make strategic selling decisions based on real-time economic insights.The Weather Detection module is location-based and generates accurate, real-time weather forecasts using geolocation data. This helps farmers plan their activities effectively, ensuring timely sowing, irrigation, and harvesting operations.The Sales Module includes user authentication and role-based access for farmers, customers, and delivery personnel. Farmers can add products to the platform, which users can view and purchase. Upon placing an order, the system generates a delivery notification. Delivery personnel can accept requests, triggering a confirmation notification to users, ensuring smooth transaction tracking and delivery updates. |
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| Cite Article: | "A Digital Platform for Connecting Local Farmers with Markets", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 5, page no.c563-c567, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505266.pdf |
| Downloads: | 000410 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505266
Registration ID:204223
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c563-c567 Country: Chinnasalem, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505266 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505266 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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