A web based system to support farmers In Bangladesh with AI features
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Date
Publisher
BRAC University
Citation
Abstract
Agriculture is the main source of livelihood in Bangladesh but many farmers still
face serious problems such as limited access to market information, accurate weather
forecast, crop health support and proper financial management tools. These challenges
often reduce farm productivity and income. To address these issues, this
project presents a web base all in one smart farming solution that uses modern
digital technology to support farmers in their daily activities.
The system provides a user friendly dashboard where farmers can easily view region
based weather updates, crop health status, market prices, buyer demand, Inventory
records and financial summaries on a single platform. Real time market information
helps farmers make better decisions about when and where to sell their crops. The
system also analyzes soil data, weather conditions and crop types to suggest proper
use of fertilizers and pesticides. Farmers can upload crop images to detect diseases
using AI based image analysis and receive instant guidance.
Additionally, the platform includes inventory and financial management features to
track resources, income, expenses and profit. Overall, this smart farming solution
helps farmers reduce costs, improve productivity, increase market access and support
data driven decision making, contributing to sustainable agricultural development
in Bangladesh.
Description
This project report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2026.
Cataloged from PDF version of project report.
Includes bibliographical references (pages 48-49).
Cataloged from PDF version of project report.
Includes bibliographical references (pages 48-49).
Publisher Link
Type
Project Report
Creative Commons license

Except where otherwise noted, this item's license is described as
Attribution-NonCommercial-NoDerivatives 4.0 International