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Research purpose:
The purpose of this research is to design and implement an agricultural product trading system based on Spring Boot. The system aims to provide a convenient, efficient and secure online trading platform to promote the trading and circulation of agricultural products. Specific goals include:
1. Design and implement a user-friendly interface that enables users to easily browse, search, and purchase agricultural products.
2. Provide a safe and reliable transaction environment, including user identity verification, payment processing, data encryption and other functions.
3. Realize the classification, display and evaluation functions of agricultural products to help users better understand and choose agricultural products.
4. Provide order management functions, including order placement, payment, delivery and logistics tracking.
5. Develop a back-end management system to facilitate the management and operation of the system by agricultural product suppliers and buyers.
By achieving the above goals, this research will provide a comprehensive solution for agricultural product trading and promote the development and growth of the agricultural product market.
Development background:
With the rapid development and popularization of Internet technology, e-commerce is increasingly used in various industries. As one of the basic industries of the national economy, agriculture is also facing the challenge of transforming into modernization and marketization. Traditional agricultural product trading methods have problems such as information asymmetry and low circulation efficiency. Modern e-commerce platforms can provide broader development space and better user experience for agricultural product trading.
However, there are some problems with the agricultural product e-commerce platforms currently on the market. First, the interface design of some platforms is not friendly enough and the user experience is poor; secondly, security is insufficient, and there are problems such as user information leakage and payment risks; thirdly, the lack of effective supply chain management and logistics tracking mechanisms leads to low order processing efficiency. . Therefore, it is of great practical significance to design and implement an efficient, safe and user-friendly agricultural product trading platform.
The agricultural product trading platform based on Spring Boot will take advantage of the Spring Boot framework and combine it with modern design concepts and technical means to solve the above problems. Spring Boot is an open source Java development framework that has the advantages of quickly building applications and simplifying configuration and deployment. By using Spring Boot, developers’ workload can be greatly reduced and development efficiency improved. At the same time, Spring Boot also provides rich plug-in and library support, which can easily integrate various functional modules, such as database access, cache processing, security authentication, etc.
In summary, the research and implementation of an agricultural product trading platform based on Spring Boot is of great significance for promoting agricultural modernization and promoting the development of the agricultural product market. User needs:
1. Users hope that the agricultural products trading platform can provide a wide range of agricultural products, including fruits, vegetables, grains, etc.
2. Users hope to browse and search agricultural products easily, filtering and searching through keywords, categories, etc.
3. Users expect to be able to view detailed information about agricultural products, including origin, variety, specifications, price, etc.
4. Users hope to evaluate and rate agricultural products and share their purchasing experiences and opinions.
5. Users want to be able to place orders and pay quickly, and choose delivery methods and timeliness requirements.
6. Users hope to know the order status and logistics information in a timely manner to ensure that the order is delivered on time.
7. Users expect the platform to provide a safe and reliable trading environment, including user identity verification, payment protection and other measures.
8. Users want to be able to communicate with sellers or other buyers on the platform.
9. Users expect the platform to provide after-sales support and services, including return, refund, complaint and other handling mechanisms.
Functional requirements:
1. User registration and login: Users can register an account and log in to the platform to obtain a personal account and perform subsequent operations.
2. Product display and search: The platform should be able to display pictures, names, prices and other information of various agricultural products, and provide a search function for users to filter based on keywords or categories.
3. Product details page: After the user clicks on an agricultural product, he should enter the product details page to display more information, such as origin, variety, specifications, etc.
4. Evaluation and scoring system: Users can evaluate and score purchased agricultural products and view the evaluations and scores of other users.
5. Shopping cart and settlement: Users can add the agricultural products they are interested in to their shopping cart, perform settlement operations, and select delivery methods, payment methods, etc.
6. Order management: Users can view their order list, including pending payment, pending shipment, shipped, etc. status, as well as order details and logistics information.
7. Message notifications and customer service: The platform should be able to send order status updates, logistics information and other related message notifications to users, and provide online customer service support.
8. Backend management system: Provides a management backend for agricultural product suppliers and sellers, which can manage product information, order processing, after-sales services, etc.
9. Safety and security measures: The platform should adopt a variety of security measures, including user identity verification, payment protection, data encryption, etc., to ensure the safety and reliability of transactions.
10. Data statistics and analysis: The platform should be able to count and analyze user purchasing behavior, popular agricultural products and other data to provide a reference for operational decisions.
Innovation:
The innovative points in the design and implementation of the agricultural product trading system based on Spring Boot are as follows:
1. User-friendly interface design: By using modern UI/UX design concepts and technologies, we design an intuitive, easy-to-use and beautiful user interface to provide a good user experience. Use responsive layout and interactive design to adapt to the display needs of different terminal devices.
2. Intelligent recommendation algorithm: Use machine learning and data mining technology to analyze users’ purchasing behavior and preferences, and provide users with personalized product recommendations. By establishing user portraits and product relationships, we can accurately push agricultural products that meet user needs and improve transaction success rates.
3. Agricultural product traceability system: Establish an agricultural product traceability system with the help of Internet of Things technology and blockchain technology. By scanning the QR code on agricultural products or using NFC technology, users can trace information about the entire process of product planting, picking, and transportation, increasing trust and quality assurance of agricultural products.
4. Supply chain collaborative management: Establish cooperative relationships with agricultural product suppliers and logistics companies to achieve collaborative management of the supply chain. By sharing information and data, the supply chain process is optimized, the supply efficiency and logistics speed of agricultural products are improved, and inventory and losses are reduced.
5. Data analysis and decision support: Use big data analysis technology to conduct in-depth mining and analysis of agricultural product transaction data to extract valuable information and insights. Through data visualization and report display, we provide decision-making support for agricultural product suppliers, buyers and platform operators, and optimize operational strategies and business models.
6. Multi-channel sales and marketing: In addition to traditional online e-commerce platforms, the system also supports access to offline sales channels and social media platforms. By establishing an integrated online and offline sales network, we will expand sales channels for agricultural products and increase sales and user coverage. At the same time, we combine social media marketing methods to carry out activities, promotions and user interactions to enhance brand influence and user stickiness.
7. Security and privacy protection: During the design and implementation process, focus on the security and privacy protection of user data. Encryption algorithms and security protocols are used to encrypt, transmit and store user data to prevent data leakage and illegal access. At the same time, establish reasonable authority management and access control mechanisms to ensure that only authorized personnel can handle sensitive information.
Through the above innovations, the agricultural product trading system based on Spring Boot will be able to provide a more convenient, efficient and secure trading platform to meet user needs and create more business value.
Feasibility analysis: Economic feasibility analysis:
1. Market demand: As people’s demand for healthy food and safe agricultural products increases, the agricultural product trading market has huge potential. The agricultural product trading system based on Spring Boot can meet users’ needs for convenient, efficient and safe transactions and has broad market prospects.
2. Cost control: Using the Spring Boot framework can reduce system development and maintenance costs. At the same time, existing open source technologies and cloud services can be used for resource configuration and elastic expansion, effectively controlling operating costs.
3. Sources of income: In addition to transaction commissions and advertising revenue, the platform can also obtain additional income by providing value-added services such as logistics tracking, data analysis, etc. In addition, establishing cooperative relationships with agricultural product suppliers and recommending high-quality products can also bring cooperation benefits.
Social feasibility analysis:
1. Food safety: The trading of agricultural products involves people’s health and safety, and establishing a safe and reliable trading platform is crucial to protecting the rights and interests of consumers. The system based on Spring Boot has security measures such as identity verification and payment protection, which can effectively prevent fraud and information leakage.
2. Promote rural development: The traditional agricultural product trading method has problems such as information asymmetry and low circulation efficiency, which affects farmers’ income and the market competitiveness of agricultural products. Systems based on Spring Boot can break geographical restrictions, realize online transactions of agricultural products, increase farmers’ income levels and promote the development of rural economy.
3. Social responsibility: As an e-commerce platform, the agricultural product trading system should assume social responsibility and actively participate in public welfare activities and environmental protection. For example, by promoting the concepts of green agriculture and sustainable development, users are guided to choose agricultural products that meet environmental protection standards.
Technical feasibility analysis:
1. Technology maturity: As a mature Java development framework, Spring Boot has good community support and a rich plug-in library, and can quickly build and customize applications. At the same time, Spring Boot is also compatible with a variety of databases and caching technologies, providing powerful development and operation and maintenance capabilities.
2. Data security: Spring Boot provides a variety of security mechanisms, including password encryption, security configuration options, and protection against attacks, to protect the confidentiality and integrity of user data. In addition, the Spring Security framework can be used to implement user authentication and permission management to ensure system security.
3. Scalability: Spring Boot adopts a modular design concept and can flexibly expand and integrate various functional modules. Through modular design and reasonable architecture design, system scalability and performance optimization can be achieved to meet the needs of user growth and business expansion. The design and implementation functions of the agricultural product trading system based on Spring Boot are as follows:
1. User registration and login:
– Provide user registration functions, including filling in and verifying basic information such as user name, password, contact information, etc.
– Users can log in using their registered account and password to ensure security and protection of personal information.
2. Product display and search:
– The system can display pictures, names, prices and other information of a variety of agricultural products.
– Provides a search function that supports filtering and searching for agricultural products by keywords, categories, etc.
3. Product details page:
– After clicking on an agricultural product, you will enter the detailed page of the product and display more information, such as origin, variety, specifications, weight, shelf life, etc.
– Users can view product details and learn about reviews and ratings from other buyers.
4. Evaluation and scoring system:
– Users can evaluate and rate purchased agricultural products and express their satisfaction with the products.
– Users can view other users’ reviews and ratings of agricultural products to help choose to purchase.
5. Shopping cart and checkout:
– Users can add the agricultural products they are interested in to the shopping cart to facilitate unified management and settlement.
– The system supports the selection of delivery methods, payment methods, etc., and provides order confirmation and payment interfaces.
6. Order management:
– Users can view their order list, including pending payment, pending shipment, shipped, etc. status.
– Detailed information can be viewed for each order, including purchased goods, quantity, total price, logistics information, etc.
– Users can comment and provide feedback on completed orders.
7. Message notification and customer service:
– The system can send order status updates, logistics information and other related message notifications to users through SMS, email or APP push.
– Provide online customer service support, users can consult and solve problems at any time.
8. Backend management system:
– Provides a management backend for agricultural product suppliers and sellers, which can perform operations such as product management, order processing, and after-sales service.
– Including product publishing, inventory management, order statistics and other functions to facilitate management and operation.
9. Safety and security measures:
– Use a variety of security measures to protect users’ personal information and transaction security, including user identity verification, payment protection and other mechanisms.
– Use HTTPS protocol to encrypt data transmission to prevent information leakage and network attacks.
10. Data statistics and analysis:
– The system can count and analyze user purchasing behavior, popular agricultural products and other data to provide reference for operational decisions.
– Including sales reports, user portrait analysis, traffic statistics and other functions to help optimize platform operation strategies and business models. The following is the database table design of the agricultural product trading system based on Spring Boot, including user table (User), product table (Product), order table (Order), shopping cart table (Cart), evaluation table (Review) and delivery address Table(ShippingAddress).
1. User table (User)
– Field name | Description | Size | Type | Primary key | Foreign key | Remarks
– id | user ID (primary key) | int(11) | INTEGER | PRIMARY KEY | — |
– username | username | varchar(50) | VARCHAR | NOT NULL | UNIQUE |
– password | password | varchar(255) | VARCHAR | NOT NULL | — |
– email | email | varchar(100) | VARCHAR | NOT NULL | UNIQUE |
– phone | mobile phone number | varchar(20) | VARCHAR | NOT NULL | UNIQUE |
– create_time | creation time | datetime | DATETIME | NOT NULL | — |
– update_time | update time | datetime | DATETIME | NOT NULL | — |
2. Product list (Product)
– Field name | Description | Size | Type | Primary key | Foreign key | Remarks
– id | Product ID (primary key) | int(11) | INTEGER | PRIMARY KEY | — |
– name | product name | varchar(100) | VARCHAR | NOT NULL | — |
– description | product description | text | TEXT | — | — |
– price | price (unit: yuan) | float(10,2)| FLOAT| NOT NULL| –|
– stock | Stock quantity (unit: units) | int(11)| INTEGER| NOT NULL| –|
– image_urls | Product image URLs (multiple values separated by commas) | varchar(2000)| VARCHAR| –|
– category_id | Category ID (foreign key) | int(11)| INTEGER| FOREIGN KEY REFERENCES Category(id)| –|
3. Order table (Order)
– Field name | Description | Size | Type | Primary key | Foreign key | Remarks
– id | Order ID (primary key) | int(11) | BIGINT | PRIMARY KEY| –|
– user_id | User ID (foreign key) | int(11) | BIGINT | FOREIGN KEY REFERENCES User(id)| –|
– total_price | Total order price (unit: yuan) | float(10,2)| FLOAT | NOT NULL| –|
– status | Order status (pending/paid/shipped/completed, etc.) | varchar(50)| VARCHAR | NOT NULL| –|
– create_time | creation time (record creation time) | datetime | NOT NULL| –|
– update_time |The following is the database table creation MySQL code for the agricultural product trading system based on Spring Boot:
```sql -- user table CREATE TABLE `user` ( `id` int(11) NOT NULL AUTO_INCREMENT, `username` varchar(50) NOT NULL, `password` varchar(255) NOT NULL, `email` varchar(100) NOT NULL, `phone` varchar(20) NOT NULL, `create_time` datetime NOT NULL, `update_time` datetime NOT NULL, PRIMARY KEY (`id`), UNIQUE KEY `username` (`username`), UNIQUE KEY `email` (`email`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- Product list CREATE TABLE `product` ( `id` int(11) NOT NULL AUTO_INCREMENT, `name` varchar(100) NOT NULL, `description` text, `price` float(10,2) NOT NULL, `stock` int(11) NOT NULL, `image_urls` varchar(2000), `category_id` int(11) NOT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`category_id`) REFERENCES `category`(`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- Order form CREATE TABLE `order` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `user_id` int(11) NOT NULL, `total_price` float(10,2) NOT NULL, `status` varchar(50) NOT NULL, `create_time` datetime NOT NULL, `update_time` datetime NOT NULL, PRIMARY KEY (`id`), UNIQUE KEY `order_user_id` (`user_id`), FOREIGN KEY (`user_id`) REFERENCES `user`(`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- Shopping cart table CREATE TABLE `cart` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `user_id` int(11) NOT NULL, `product_id` int(11) NOT NULL, `quantity` int(11) NOT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`user_id`) REFERENCES `user`(`id`), FOREIGN KEY (`product_id`) REFERENCES `product`(`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- Evaluation form CREATE TABLE `review` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `user_id` int(11) NOT NULL, `product_id` int(11) NOT NULL, `rating` int(11) NOT NULL, `comment` text, PRIMARY KEY (`id`), FOREIGN KEY (`user_id`) REFERENCES `user`(`id`), FOREIGN KEY (`product_id`) REFERENCES `product`(`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- Shipping address table CREATE TABLE `shipping_address` ( `id` int(11) NOT NULL AUTO_INCREMENT, `user_id` int(11) NOT NULL, `name` varchar(100) NOT NULL, `phone` varchar(20) NOT NULL, `address` varchar(200) NOT NULL, `is_default` tinyint(1) NOT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`user_id`) REFERENCES `user`(`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; ```
The above code creates five tables related to the agricultural product trading system, including user table, product table, order table, shopping cart table, evaluation table and delivery address table. Each table defines corresponding fields and data types, and sets primary key and foreign key constraints. The following is the Java class code corresponding to the database table of the agricultural product trading system based on Spring Boot:
1. User class (user)
```java
@Entity
@Table(name = "user")
public class User {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(nullable = false, unique = true)
private String username;
@Column(nullable = false)
private String password;
@Column(nullable = false, length = 200)
private String email;
@Column(nullable = false, length = 20)
private String phone;
@Column(name = "create_time", nullable = false)
private LocalDateTime createTime;
@Column(name = "update_time", nullable = false)
private LocalDateTime updateTime;
// Getters and Setters
}
```
2. Product category (commodity)
```java
@Entity
@Table(name = "product")
public class Product {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(nullable = false, unique = true)
private String name;
@Column(nullable = false)
private String description;
@Column(precision = 10, scale = 2, nullable = false)
private BigDecimal price;
@Column(nullable = false)
private int stock;
@Lob
@Column(name = "image_urls")
private byte[] imageUrls;
@ManyToOne
@JoinColumn(name = "category_id", nullable = false)
private Category category;
// Getters and Setters
}
```
3. Order class (order)
```java
@Entity
@Table(name = "order")
public class Order {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@ManyToOne
@JoinColumn(name = "user_id", nullable = false)
private User user;
@Column(precision = 19, scale = 2, nullable = false)
private BigDecimal totalPrice;
@Column(nullable = false)
private String status;
@Column(name = "create_time", nullable = false)
private LocalDateTime createTime;
@Column(name = "update_time", nullable = false)
private LocalDateTime updateTime;
// Getters and Setters
}
```
4. Cart class (shopping cart)
```java
@Entity
@Table(name = "cart")
public class Cart {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@ManyToOne
@JoinColumn(name = "user_id", nullable = false)
private User user;
@ManyToOne
@JoinColumn(name = "product_id", nullable = false)
private Product product;
@Column(precision = 10, scale = 2, nullable = false)
private int quantity;
// Getters and Setters
}
```
5. Review category (evaluation)
```java
@Entity
@Table(name = "review")
public class Review {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@ManyToOne
@JoinColumn(name = "user_id", nullable = false)
private User user;
@ManyToOne
@JoinColumn(name = "product_id", nullable = false)
private Product product;
@Column(precision = 10, scale = 2, nullable = false)
private int rating;
@Column(length = 1000)
private String comment;
// Getters and Setters
}
```
6. ShippingAddress class (shipping address)
```java
@Entity
@Table(name = "shipping_address")
public class ShippingAddress {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@ManyToOne
@JoinColumn(name = "user_id", nullable = false)
private User user;
@Column(nullable = false, length = 200)
private String name;
@Column(nullable = false, length = 20)
private String phone;
@Column(nullable = false, length = 200)
private String address;
@Column(name = "is_default", columnDefinition = "TINYINT default 0")
private boolean isDefault;
// Getters and Setters
}
“`