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AgroVision Mobile Development Repository



AgroVision Mobile Development Project

This project is our final project for Bangkit Academy 2023 Capstone Project.

Machine Learning: AgroVision Machine Learning Repository

Cloud Computing: AgroVision Cloud Computing Repository

Application Overview

AgroVision is a user-friendly mobile app that predicts crop diseases and assesses fruit and vegetable ripeness. After registering or logging in, users can upload images from their gallery or use CameraX for analysis. The app securely sends these images to the cloud, utilizing advanced image recognition algorithms and machine learning models. Results are quickly retrieved using Retrofit, enabling users to make informed decisions and optimize their crop yields.

Case:

  • Apple (Apel) - Plant Crop Disease
  • Bell Pepper (Paprika) - Plant Crop Disease
  • Cherry (Ceri) - Plant Crop Disease
  • Corn (Jagung) - Plant Crop Disease
  • Grape (Anggur) - Plant Crop Disease
  • Peach (Persik) - Plant Crop Disease
  • Potato (Kentang) - Plant Crop Disease
  • Strawberry (Stroberi) - Plant Crop Disease
  • Tomato (Tomat) - Plant Crop Disease
  • Bell Pepper (Paprika) - Vegetable Ripeness
  • Chile Pepper (Cabai) - Vegetable Ripeness
  • Tomato (Tomat) - Vegetable Ripeness
  • Apple (Apel) - Fruit Ripeness
  • Banana (Pisang) - Fruit Ripeness
  • Guava (Jambu) - Fruit Ripeness
  • Lime (Jeruk Nipis) - Fruit Ripeness
  • Orange (Jeruk Nipis) - Fruit Ripeness
  • Pomegranate (Delima) - Fruit Ripeness

Screenshots

Development Roadmap

Features

  • Onboarding Activity
  • Sign Up
  • Sign In
  • Bottom Navigation
  • Fruit and Vegetable Prediction Feature
  • Plant Crop Prediction Feature
  • List of Diseases Feature
  • List of Ripeness Feature

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