A web based system to support farmers In Bangladesh with AI features

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorAzmain, Md. Aquib
dc.contributor.authorEam, Salab Ibne Awal
dc.contributor.authorMatree, Noara Rashid
dc.contributor.authorHasan, S.M Tasirul
dc.contributor.authorRafi, Abid Rehman
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-08-22T04:20:01Z
dc.date.available2026-08-22T04:20:01Z
dc.date.copyright2026
dc.date.issued2026-01
dc.descriptionThis project report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2026.
dc.descriptionCataloged from PDF version of project report.
dc.descriptionIncludes bibliographical references (pages 48-49).
dc.description.abstractAgriculture 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.
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilitySalab Ibne Awal Eam
dc.description.statementofresponsibilityNoara Rashid Matree
dc.description.statementofresponsibilityS.M Tasirul Hasan
dc.description.statementofresponsibilityAbid Rehman Rafi
dc.format.extent60 pages
dc.identifier.otherID 20301210
dc.identifier.otherID 20301233
dc.identifier.otherID 20301150
dc.identifier.otherID 23341063
dc.identifier.urihttps://hdl.handle.net/10361/29412
dc.language.isoen_US
dc.publisherBRAC University
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rightsBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSmart farming
dc.subjectArtificial intelligence
dc.subjectMarket information system
dc.subjectDisease detection
dc.subjectCrop diseases
dc.subjectWeather forecasting
dc.subjectMachine learning
dc.subjectInventory management
dc.subjectFinance management
dc.subject.lcshPlants--Disease and pest resistance.
dc.subject.lcshArtificial intelligence--Agricultural applications.
dc.subject.lcshPlant diseases--Diagnosis.
dc.subject.lcshAgricultural innovations.
dc.titleA web based system to support farmers In Bangladesh with AI features
dc.typeProject Report

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