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An intelligent crop disease detection system powered by YOLO and DeepSeek——一个由 YOLO 和 DeepSeek 驱动的智能农作物病害检测系统
NOTE开源仓库
An intelligent crop disease detection system powered by YOLO and DeepSeek.
YOLO & DeepSeek Powered Crop Disease Detection System(README)
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1. Project Overview
This project is an intelligent crop disease detection system that leverages the powerful YOLO (You Only Look Once) algorithm for real-time object detection. It is built with a modern, decoupled, full-stack architecture, assisted by the DeepSeek AI model for code generation and project insights. The system provides an end-to-end solution for identifying crop diseases from images, videos, and live camera feeds, aiming to offer an efficient and accurate tool for agricultural producers and researchers.
2. Core Features
- Multi-source Detection: Supports disease detection from static images, video files, and real-time camera streams.
- High-Performance Backend: A microservices architecture featuring a Flask server for handling AI model inferences and a Spring Boot server for business logic, data management, and user interactions.
- Modern Frontend: A responsive and user-friendly web interface built with Vue 3, Vite, and Element Plus.
- Real-time Communication: Utilizes WebSocket for instant feedback during video processing and ECharts for rich data visualization of detection results.
- Scalable & Decoupled: The clear separation of frontend, business logic, and AI services allows for independent development, scaling, and maintenance.
3. Technology Stack
- Frontend:
Vue 3,Vite,Element Plus,Axios,ECharts,Socket.io-client - Backend (Business Logic):
Java 1.8,Spring Boot,MyBatis-Plus,MySQL/MariaDB,Maven - Backend (AI Model):
Python,Flask,Ultralytics (YOLO),OpenCV,Flask-SocketIO
4. Application Scenarios
- Smart Agriculture: Assists farmers in quickly identifying crop diseases for timely intervention.
- Agricultural Research: Provides researchers with a tool for automated data collection and analysis of plant pathology.
- Educational Tool: Serves as a comprehensive full-stack project for developers to learn about integrating AI models with web applications.
5. Installation and Quick Start
Prerequisites:
Node.js>= 16.0Python>= 3.8Java>= 1.8MavenMySQLorMariaDB
Backend Setup (Spring Boot):
- Navigate to the
YOLO_AI_CropDisease_Detection_SpringBootdirectory. - Create a database and import the
cropdisease.sqlfile. - Modify the database connection settings in
src/main/resources/application.properties. - Run the application:
mvn spring-boot:runBackend Setup (Flask AI):
- Navigate to the
YOLO_AI_CropDisease_Detection_Flaskdirectory. - Install Python dependencies:
pip install -r requirements.txt (Note: A requirements.txt file should be created with libraries like ultralytics, flask, opencv-python, requests, flask-socketio)
- Download the pre-trained YOLO model weights (e.g.,
yolo11n.pt) and place them in theweightsfolder. - Run the AI service:
python main.pyFrontend Setup (Vue):
- Navigate to the
YOLO_AI_CropDisease_Detection_Vuedirectory. - Install dependencies:
npm install- Start the development server:
npm run dev- Access the application at the address provided (e.g.,
http://localhost:3000).
6. Contribution
Contributions are welcome! Please feel free to submit a Pull Request or open an Issue to report bugs or suggest new features.
- Fork the repository.
- Create your feature branch (
git checkout -b feature/AmazingFeature). - Commit your changes (
git commit -m 'Add some AmazingFeature'). - Push to the branch (
git push origin feature/AmazingFeature). - Open a Pull Request.
7. License
This project is licensed under the MIT License. See the LICENSE file for details.
My_Backup
conda env list
conda remove -n yolo --all
.venv\Scripts\activate#启动虚拟环境我的流程
conda create --name yolo python=3.12.4
conda activate yolo
python -m venv .venv
.venv\Scripts\activate
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
python main.py
# SpringBootmvn spring-boot:run
# Vuenpm run dev备份兼容 java17
修改 springboot--- pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.example</groupId>
<artifactId>Ece</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>Ece</name>
<description>Ece</description>
<properties>
<java.version>17</java.version>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<spring-boot.version>2.7.18</spring-boot.version>
<lombok.version>1.18.30</lombok.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.1.4</version>
</dependency>
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-plus-boot-starter</artifactId>
<version>3.4.2</version>
</dependency>
<dependency>
<groupId>org.springframework.integration</groupId>
<artifactId>spring-integration-mqtt</artifactId>
</dependency>
<!-- json转对象-->
<!-- 2020/12/16日最新 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.75</version>
</dependency>
<!--mail模板-->
<!-- springboot 邮件mail -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-mail</artifactId>
<version>2.6.3</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>4.2.1</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpcore</artifactId>
<version>4.2.1</version>
</dependency>
<dependency>
<groupId>commons-lang</groupId>
<artifactId>commons-lang</artifactId>
<version>2.6</version>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-util</artifactId>
<version>9.3.7.v20160115</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.5</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>5.7.3</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>8.0.33</version>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.mariadb.jdbc</groupId>
<artifactId>mariadb-java-client</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.junit.vintage</groupId>
<artifactId>junit-vintage-engine</artifactId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-dependencies</artifactId>
<version>${spring-boot.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.8.1</version>
<configuration>
<source>17</source>
<target>17</target>
<encoding>UTF-8</encoding>
<annotationProcessorPaths>
<path>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>${lombok.version}</version>
</path>
</annotationProcessorPaths>
</configuration>
</plugin>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<version>2.7.18</version>
<configuration>
<mainClass>com.example.Ece.Ece</mainClass>
</configuration>
<executions>
<execution>
<id>repackage</id>
<goals>
<goal>repackage</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project> An intelligent crop disease detection system powered by YOLO and DeepSeek——一个由 YOLO 和 DeepSeek 驱动的智能农作物病害检测系统
https://xieyi.org/posts/an-intelligent-crop-disease-detection-system-powered-by-yolo-and-deepseek一个由-yolo-和-deepseek-驱动的智能农作物病害检测系统/