Digital method for breeding black-bone chickens

Abstract

The invention discloses a digitization method for breeding black-bone chickens, which belongs to the field of poultry breeding, and comprises the following steps: digitization in a breeding stage: screening breeding hens by using big data analysis and gene detection technologies, avoiding close breeding, and improving the quality and hereditary stability of baby chicks. By establishing a breeding hen gene database and analyzing genetic information of breeding hens, breeding hens with excellent characters are selected for hybridization, and healthy and high-quality chicks are bred. Automatic regulation and control of the breeding environment, accurate feeding and real-time monitoring of the growth condition are achieved through the digital technology, manual intervention is reduced, and the breeding efficiency is improved. The intelligent feeding system can accurately feed the black-bone chickens according to the actual requirements of the black-bone chickens, feed waste is avoided, and the breeding cost is reduced. Meanwhile, breeding environment parameters are automatically regulated and controlled, optimal growth conditions are provided for the black-bone chickens, growth and development of the black-bone chickens are promoted, and the breeding cycle is shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of poultry breeding, and in particular to a digital method for breeding black-bone chickens. Background Art

[0002] Black-bone chickens, a poultry with high nutritional and economic value, are highly sought after in the market. However, traditional black-bone chicken farming methods present numerous challenges. These include relying on manual, empirical control of the breeding environment, which lacks precision; disease monitoring, which is often performed after the fact, making early warning difficult; cumbersome and inefficient breeding procedures; and sales, which are limited to offline channels and narrow channels, severely hampering the development of the black-bone chicken industry.

[0003] With the continuous advancement of science and technology, the application of digital technology in the agricultural field has gradually increased. In order to solve the problems in black-bone chicken breeding, a digital method for breeding black-bone chickens is needed to achieve precise management and efficient operation, reduce breeding risks, broaden market channels, and promote the black-bone chicken industry to intelligence and standardization. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a digital breeding method for black-bone chickens based on the digital rural architecture. With the help of advanced digital technology, it runs through the entire life cycle of black-bone chickens from seedling breeding to sales, realizes precise management and efficient operation, reduces breeding risks, broadens market channels, and promotes the black-bone chicken industry towards intelligence and standardization, significantly improving the industry's economic benefits and market influence.

[0005] Technical solution: To solve the above technical problems, according to one aspect of the present invention, more specifically, a digital method for breeding black-bone chickens, including the digitalization of the seedling raising stage:

[0006] Using big data analysis and genetic testing technology, we screen breeder chickens to avoid inbreeding and improve the quality and genetic stability of chicks. By establishing a genetic database of breeder chickens and analyzing their genetic information, we select breeders with excellent traits for breeding, thereby producing healthy, high-quality chicks.

[0007] During the chick incubation process, sensors collect real-time data such as temperature, humidity, and oxygen levels within the incubator. This data is transmitted to a monitoring center via IoT technology. Artificial intelligence algorithms analyze this data and automatically adjust incubator parameters based on the chicks' incubation stage, ensuring optimal hatching conditions. Image recognition technology also monitors the chicks' hatching progress, identifying any anomalies and issuing early warnings.

[0008] Each chick is fitted with an anklet that provides positioning, traceability, and monitoring capabilities. Made of waterproof and wear-resistant materials, the anklet features a built-in positioning chip, sensor, and communication module. The anklet monitors the chick's position, steps, and other information in real time, uploading the data to a cloud server. Farmers can check the chick's status at any time through a mobile app or computer software, enabling precise management and traceability of the chicks.

[0009] Digitalization of the breeding stage:

[0010] Environmental monitoring equipment, including temperature and humidity sensors, light sensors, and air quality sensors, is installed in the breeding facilities to collect real-time data on the breeding environment. An intelligent control system automatically adjusts temperature, humidity, light, ventilation, and other parameters based on the chickens' growth needs, providing a comfortable and healthy environment for them. For example, if the temperature is too high, the ventilation and cooling systems are automatically activated; if the humidity is insufficient, the spray humidifier is automatically activated.

[0011] Using cameras and image recognition technology, the growth of black-bone chickens is monitored in real time. The health of the birds is assessed by analyzing their body shape, feather color, feeding behavior, and movement patterns. If anomalies are detected, such as "sluggish" or "wooden" chickens, the system automatically issues an alert and provides appropriate diagnostic recommendations and treatment plans. Image recognition technology is also used to count the number of black-bone chickens to ensure accurate breeding numbers.

[0012] An intelligent feeding system has been established, using artificial intelligence algorithms to accurately calculate feed amounts and feeding times based on data such as the black-bone chicken's growth stage, weight, and feeding habits. The intelligent feeding system automatically delivers feed to the breeding area, enabling precise feeding, avoiding feed waste, and reducing breeding costs. Furthermore, sensors added to the feed monitor the nutrient content and quality of the feed in real time, ensuring that the black-bone chickens receive adequate and balanced nutrition.

[0013] An online expert consultation platform has been established, and breeding experts have been invited to join. When farmers encounter problems during the breeding process, they can upload relevant symptoms and data of black-bone chickens through the platform, and experts will provide online diagnosis and guidance, providing farmers with timely and professional technical support.

[0014] Digitalization of the market release stage:

[0015] When black-bone chickens reach marketability, the system uses leg rings and a breeding management system to accurately track their number and location, facilitating centralized capture and transportation. Furthermore, big data analysis of market demand and price trends provides farmers with reasonable marketability recommendations, helping them select the optimal time to market and improve breeding efficiency.

[0016] A black-bone chicken product traceability system has been established. Consumers can obtain black-bone chicken breeding information by scanning the product QR code, including breeding chicken information and incubation environment data in the seedling stage, feed sources, medication usage, breeding environment data in the breeding stage, and transportation information in the market stage, etc., to achieve full traceability from breeding to the table and enhance consumer trust in the product.

[0017] Build an online sales platform to expand sales channels for black-bone chickens. Promote black-bone chicken products to a wider market by partnering with e-commerce platforms or establishing your own official sales website. Display product information, breeding conditions, and traceability information on the sales platform to attract consumers. Simultaneously, leverage big data to analyze consumer purchasing behavior and preferences, develop targeted marketing strategies, and improve sales efficiency.

[0018] The beneficial effects of the digital method for breeding black-bone chickens of the present invention are:

[0019] (1) The present invention uses digital technology to achieve automatic control of the breeding environment, precise feeding, and real-time monitoring of growth conditions, thereby reducing manual intervention and improving breeding efficiency. The intelligent feeding system can accurately feed the black-bone chicken according to its actual needs, avoid feed waste, and reduce breeding costs. At the same time, it automatically controls the breeding environment parameters to provide the best growth conditions for the black-bone chicken, promote its growth and development, and shorten the breeding cycle.

[0020] (2) The present invention uses image recognition technology and sensors to monitor the health status of black-bone chickens in real time, promptly identifying potential disease risks and issuing early warnings, taking appropriate prevention and control measures, and reducing the risk of disease transmission. By establishing a genetic database of breeding chickens and avoiding inbreeding, the quality and immunity of chicks are improved, reducing the occurrence of diseases. In addition, the intelligent monitoring system can promptly detect abnormal conditions in the breeding site, such as intruding animals and equipment failures, to ensure breeding safety.

[0021] (3) The present invention builds an online sales platform, breaking geographical restrictions and promoting black-bone chicken products to the national and even global markets. Through the product traceability system and online display, consumers' trust in the product and willingness to buy are improved, thereby increasing product sales. At the same time, big data is used to analyze consumer demand, optimize product marketing strategies, and improve sales efficiency and market competitiveness.

[0022] (4) The present invention provides a new model and technical support for the development of the black-bone chicken industry, promotes the development of black-bone chicken breeding towards intelligence, precision and standardization, promotes industrial upgrading, and improves the overall economic and social benefits of the black-bone chicken industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention will be further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0024] Figure 1 It is a structural schematic diagram of the present invention;. DETAILED DESCRIPTION

[0025] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0026] In order to make the technical solution of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0027] Reference Figure 1 A digital method for breeding black-bone chickens includes the following steps:

[0028] Establish a genetic database for breeder chickens: Collect blood or feather samples from breeder chickens, perform genetic testing, and enter the test results into the database. Regularly conduct health checks and performance evaluations on breeder chickens and update the database information.

[0029] Incubator data monitoring and control: Temperature sensors, humidity sensors, oxygen sensors, and other devices are installed in the incubator. These sensors are connected to a controller, which is then connected to a computer or server at the monitoring center via the Internet of Things. An artificial intelligence algorithm is programmed to set different parameter thresholds based on the chicks' incubation stage. When the sensor data exceeds the threshold range, the controller automatically adjusts the incubator's heating, humidification, ventilation, and other equipment to ensure a stable incubation environment.

[0030] Chick leg ring fitting and management: After hatching, chicks are fitted with appropriately sized leg rings. The leg ring's positioning chip and communication module are paired with a cloud server to ensure accurate data upload. Farmers can log in to the management system via a mobile app or computer software to view the chicks' leg ring information and real-time status.

[0031] Breeding stage:

[0032] Farming environment monitoring and control: Temperature and humidity sensors, light sensors, and air quality sensors are installed at various locations on the farm, transmitting data to an intelligent control system. This system automatically controls the operation of ventilation, cooling, humidification, and lighting equipment based on preset parameter ranges and the growth needs of the black-bone chickens. Farmers can also view real-time farming environment data and manually adjust equipment parameters through a mobile app or computer software.

[0033] Monitoring the growth of black-bone chickens: Multiple cameras are installed at the farm and connected to an image recognition system. This system uses deep learning algorithms to analyze video images captured by the cameras, identifying characteristics such as the chicken's body shape, feather color, feeding behavior, and movement. If an anomaly is detected, the system automatically sends an alert to the farmer's mobile phone and displays diagnostic recommendations and treatment plans in the management system.

[0034] Smart feeding system operation: Sensors and controllers are installed on feed storage and feeding equipment and connected to the smart feeding system. The smart feeding system uses artificial intelligence algorithms to calculate the feed amount and feeding schedule based on data such as the black-bone chicken's growth stage, weight, and feeding habits. When the feeding time arrives, the controller automatically activates the feed conveyor and delivers the set amount of feed to the breeding area. Sensors are also added to the feed to monitor its nutritional content and quality in real time. If nutritional deficiencies or quality issues are detected, the system issues an alert, prompting the farmer to change the feed.

[0035] Using the online expert consultation platform: Farmers access the platform via a mobile app or desktop software, provide a description of their black-bone chicken's symptoms, breeding environment data, recent medication use, and upload relevant photos or videos. The platform then forwards the farmer's question to an online expert, who diagnoses the problem based on the information provided, provides treatment recommendations and solutions, and provides feedback to the farmer through the platform. Farmers can then communicate with the expert online to further understand the details of the treatment plan.

[0036] Market stage:

[0037] Preparation for market release: When the black-bone chickens reach the predetermined market weight and growth cycle, their specific location and quantity are determined through the leg ring positioning system and the breeding management system. Transport vehicles and slaughtering and processing companies are contacted in advance to complete pre-marketing preparations.

[0038] Establishing a product traceability system: QR code labels are affixed to product packaging, and these codes are linked to a product traceability database. All black-bone chicken farming information, from hatching to market, is entered into the database, including breeder information, hatching environment data, feed sources, medication usage, farming environment data, and transportation information. Consumers can scan the QR code with their mobile phones to obtain detailed product traceability information.

[0039] Online sales platform operations: Select a suitable e-commerce platform or establish your own official sales website. Publish information about black-bone chicken products on the platform, including product images, specifications, prices, information about the breeding environment, and traceability. Leverage big data analytics platforms to analyze sales data and consumer feedback to optimize product presentation and marketing strategies. Handle customer orders and after-sales issues promptly to improve customer satisfaction.

[0040] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A digital method for breeding black-bone chickens, characterized in that: This includes digitalization of the seedling raising stage, the breeding stage, and the market release stage, and relies on the digital village intelligent operation system. The specific steps are as follows: Digitalization of the seedling stage: S1. Utilize big data analytics to integrate multi-source breeder information, combine genetic testing technology to build a breeder gene database, select high-quality breeders based on genetic information, and use edge devices to collect breeder physiological data and upload it to the digital village intelligent operation platform. S2. Sensors in the incubator collect temperature, humidity, and oxygen content data, which are then transmitted to the monitoring center via the Internet of Things. The Digital Village Smart Operations Platform's artificial intelligence algorithm adjusts incubator parameters based on the incubation stage, and uses image recognition technology (relying on a gun-mounted camera) to monitor incubation conditions and issue warnings. S3. The chicks are fitted with anklets containing positioning chips, sensors, and communication modules. The information collected by the anklets is uploaded to the cloud server through a data collector and connected to the digital village smart operation platform. Farmers can check the chicks' status through terminal devices. Digitalization of the breeding stage: S4. Install various environmental sensors at the breeding site. The collected data is aggregated by the intelligent control system. The Digital Village Intelligent Operation Platform automatically adjusts the breeding environment equipment according to the growth needs of black-bone chickens. Farmers can also make manual adjustments through terminal devices. S5. Use a gun-mounted camera to capture images. The image recognition system of the Digital Village Intelligent Operation Platform uses a deep learning algorithm to analyze the growth status of black-bone chickens. It issues warnings and provides diagnostic and treatment plans when abnormalities occur, while also counting the number of chickens. S6. The intelligent feeding system calculates the feeding amount and time based on the growth stage data of black-bone chickens through the artificial intelligence algorithm of the digital rural intelligent operation platform, automatically feeds and monitors the nutritional quality of feed; S7. Build an online expert consultation platform integrated into the digital rural intelligent operation system. Farmers upload information, experts diagnose and provide feedback online, and support online communication between the two parties. Digitalization of the market release stage: S8. When the chickens reach the market standard, the number and location of the black-bone chickens are determined on the Digital Village Smart Operation Platform through leg ring positioning and the breeding management system. The platform then uses big data analysis to provide market recommendations. S9. Establish a product traceability system. The product QR code is linked to the database of the digital rural intelligent operation platform. Consumers can scan the code to obtain the full process of black-bone chicken breeding information; S10. Build an online sales platform, cooperate with e-commerce companies or establish an official website, display product information on the digital rural intelligent operation platform, use the platform's big data analysis to optimize marketing, and handle order after-sales.

2. A digital method for breeding black-bone chickens according to claim 1, characterized in that: The breeder chicken gene database regularly updates the breeder chicken health examination and performance evaluation information, and the edge device encrypts the collected data before uploading it.

3. The digital method for breeding black-bone chickens according to claim 1, characterized in that: The sensors in the incubator are connected to the intelligent controller, the intelligent controller is connected to the monitoring center server through the Internet of Things, and the artificial intelligence algorithm program is deployed on the digital rural intelligent operation platform server and preset parameter thresholds.

4. The digital method for breeding black-bone chickens according to claim 1, characterized in that: The environmental sensors of the breeding site are connected to the intelligent control system via wired or wireless means, and the intelligent control system is connected to the digital rural intelligent operation platform.

5. The digital method for breeding black-bone chickens according to claim 1, characterized in that: The image recognition system relies on the GPU server of the digital rural intelligent operation platform to perform deep learning operations and take inventory of the number of black-bone chickens every week.

6. The digital method for breeding black-bone chickens according to claim 1, characterized in that: The intelligent feeding system obtains data from the digital village intelligent operation platform, calculates the feeding amount and time, and the micro sensors in the feed monitor the nutritional content in real time and upload the data to the platform for early warning.

7. The digital method for breeding black-bone chickens according to claim 1, characterized in that: The online expert consultation platform uses an intelligent matching algorithm to assign farmers' problems to experts, who then provide online diagnosis and feedback on solutions through the platform within 24 hours.

8. The digital method for breeding black-bone chickens according to claim 1, characterized in that: During the marketing stage, the logistics management module of the digital rural intelligent operation platform is used to contact the transport vehicles and coordinate with the slaughtering and processing enterprises.

9. The digital method for breeding black-bone chickens according to claim 1, characterized in that: The product traceability database records detailed information on the entire process of black-bone chickens from seedling breeding to marketing, including breeding chicken information, hatching data, feed and medication records during the breeding process, breeding environment data, and transportation information.

10. The digital method for breeding black-bone chickens according to claim 1, characterized in that: The online sales platform utilizes the big data analysis function of the digital rural intelligent operation platform to regularly analyze sales data and consumer feedback, and adjust product display, pricing and marketing strategies.

Images