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AVANAGANTI ABHINAVA REDDY

23BD1A0509

TEAM: G131

Team Members:

Name Of The Members

Respective Roll Numbers

23BD1A054H

ALLENKI JASHWANTH

MD OZAIR

MOHAMMED SHAHRUKH SIDDIQUI

23BD1A054Q

23BD1A0565

SIRIKONDA SANDEEP RAO

23BD1A056X

YAKKATI GUNAVARDHAN

23BD1A057V

VEGESNA KRISHNA TEJA

23BD1A05K2

Project Title: Vriksha Rakshak

AI-Driven Plant Disease Detection

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  • About 55% of population is dependent on agriculture as their primary source of income

contributing 18% of GDP.

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  • Crop losses in our country vary from 10-35% annually mostly due to Pests and Diseases. This ongoing issue threatens agricultural productivity and food security.

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  • Majority of the farmers fail to Cure Diseased Plants as they are not able to properly diagnose and treat the Plants and lack of timely precautions.

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PROBLEM STATEMENT:

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G131

TARGET USERS:

  • Our Target Users (Stake Holders) are:

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    • Input Suppliers.
    • Agricultural Scientist and Pathology Students.
    • Farmers.

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G131

OUR SOLUTION:

  • Detailed Diagnosis Report based on the Leaf image provided.
  • Disease Analysis
  • Discovering new Diseases for R&D
  • Timely Alerts:
    • Automated Alerts based on Disease Analysis
    • Manual Alerts by Researchers or Agro Scientist
  • Blogs and FAQ pages for farmer engagement.
  • Building a bridge between Agricultural Scientist and Farmer

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SYSTEM ARCHITECTURE:

  • Frontend:
    • React-based interface for seamless interaction.
    • Features like diagnosis, history, blogs, and analytics.
  • Backend :
    • API-driven architecture with Express.js.
    • AI models hosted on Hugging Face for plant disease detection.

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  • Database:
    • MongoDB for managing user data, feedback, and diagnosis history.

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  • Farmer-Agriculture Expert Connection.
  • Timely Alerts:
    • Automated Alerts based on Disease Analysis
    • Manual Alerts by Researchers or Agro Scientist
  • Insights - personal , location, alerts based on disease count.
  • Notifications for corrected diagnoses and alerts.
  • Blogs and FAQs for continuous farmer engagement.
  • Multilingual support for diverse users.
  • Responsive Design: Fully optimized for devices as small as 300px.
  • Weather
  • Diagnosis page - not a leaf , report, choose a image from phone
  • Camera Feature for taking photo via mobile
  • History page
  • Workspace: cases to solve , location alert
  • Dark Mode
  • Mail sent to users in that location

UNIQUE FEATURES

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FILLING THE GAPS

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  • Complete deployment.
  • Expand crop and disease coverage.
  • Chat bot for quick doubt solving and recommendations.
  • Dynamic training of model and increasing accuracy of model.
  • Integrating google maps with Location Analysis

POTENTIAL UPGRADATIONS:

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RESEARCH AND REFERENCES

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Thank You!