Piglet feed and production method thereof

Abstract

The invention discloses a piglet feed and a production method thereof, belongs to the technical field of pig feeds, and solves the problems that pigs are omnivorous animals, not all farmers can keep the relatively clean living environment of the pigs, and disease infection among swinery cannot be completely eradicated. And the conventional piglet feed mainly has the effects of satiating the stomach and ensuring the nutrition of the piglets in the process of supplying the piglets with the conventional piglet feed, and is difficult to enhance the immunity and disease resistance of the piglets. Comprising corn flour, soybean meal, fish meal, wheat bran, whey powder, vegetable oil, probiotics, a natural plant extract, amino acid, vitamins, a binder, chelated trace elements, monocalcium phosphate and an anti-stress additive. The piglet feed improves immunity and growth performance, promotes health, shortens the fattening period, reduces diseases and stress, and guarantees smooth growth; the production method can distinguish inferior-quality products, guide improvement and improve the yield.

Description

Technical Field

[0001] The invention relates to the technical field of pig feed, and in particular to a piglet feed and a production method thereof. Background Art

[0002] Pig feed is feed specially designed for domestic pigs, usually including protein feed, energy feed, roughage, green feed, silage, mineral feed and feed additives. Among them, energy feed such as corn and wheat provides the main energy source required by pigs; protein feed includes plant protein feed such as soybean cake / meal and animal protein feed such as fish meal, which is essential for the growth and development of pigs. Roughage includes crop straw, etc., which has low nutritional value but helps increase satiety and promote digestion. Green feed and silage provide vitamins and minerals, while mineral feed supplements essential minerals such as calcium and phosphorus. Feed additives are used to improve the nutritional value of feed and improve the palatability of feed. Reasonable combination of these feeds can ensure that pigs get balanced nutrition and promote their healthy growth.

[0003] Piglet feed is a special feed designed for the growth and development of piglets. It requires not only balanced nutrition, but also fine texture and good palatability. This type of feed usually contains higher digestible energy and crude protein levels to meet the needs of rapid growth of piglets. Compared with the particle size of adult pig feed, the particle size of piglet feed is required to be more delicate, and it is also required to give piglets better immunity and disease resistance. At present, conventional piglet feed mainly supplements nutrition for piglets to ensure that they are strong and will not get sick. However, since pigs are omnivores, and not all farmers can keep the living environment of pigs clean, and they cannot prevent the spread of diseases between pigs, conventional piglet feed mainly plays the role of filling the stomach and ensuring nutrition in the process of feeding piglets, and it is difficult to enhance their immunity and disease resistance.

[0004] Therefore, a piglet feed and a production method thereof are proposed to solve or alleviate the above problems. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a piglet feed and a production method thereof.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A piglet feed comprises corn meal, soybean meal, fish meal, wheat bran, whey powder, vegetable oil, probiotics, natural plant extracts, amino acids, vitamins and a binder.

[0007] Preferably, chelated trace elements, monocalcium phosphate, and anti-stress additives are also included.

[0008] The present invention also provides a method for producing piglet feed, which is used to produce the above-mentioned piglet feed, comprising the following steps: Raw material preparation: prepare dry powder raw materials according to the formula content, and sieve the dry powder raw materials to remove impurities; Batching, based on the distribution of dry powdered raw materials and preliminary mixing by hand; Secondary mixing: using a mixer to mix the dry powdered raw materials; Add water to adjust the humidity and mix well. During the mixing process in the mixer, water and liquid raw materials are added to obtain feed rough embryos; Put the feed embryo into the ring die pellet machine for pelleting to obtain the primary feed pellets; The primary feed pellets are put into a drum dryer for baking and adjusting the moisture content to obtain secondary feed pellets; A batch of sample feed particles are taken from the same batch of feed particles, spread out and tested, and the quality of the batch of feed particles is judged according to the particle size of the sample feed particles and the ratio of particles to powder particles. If the quality of the batch of feed particles meets the standard, they are filled, packaged and stored to obtain finished feed. If the quality of the batch of feed particles does not meet the standard, they are filled, packaged, stored and marked to obtain defective feed.

[0009] Preferably, said extracting a batch of sample feed particles from the same batch of feed particles for paving and testing, and judging the quality of the batch of feed particles according to the particle size of the sample feed particles and the ratio of particles to powder particles, comprises the following steps: The feed pellets of the same batch will be determined; Take a batch of sample feed pellets from the bottom of the same batch of feed pellets; Spread the sample feed particles in a solid-colored feed pan and cover the entire pan; Each group of flattened sample feed particles is photographed by an image acquisition module to obtain a sample picture; The sample images are transferred to the data processing module for processing and the quality of the batch of feed pellets and the production problems of the batch of feed pellets are output according to the particle size of the sample feed particles and the ratio of particles to powder particles.

[0010] Preferably, the method of transmitting the sample image to the data processing module for processing and outputting the quality of the batch of feed pellets and the production problems of the batch of feed pellets according to the particle size of the sample feed pellets and the ratio of pellets to powder, comprises the following steps: Perform Gaussian filtering and denoising on the sample images; Grayscale the processed sample image to obtain a grayscale image; Use the Canny algorithm to identify the edges of particles in the grayscale image, use the Sobel operator to calculate the gradient strength and direction of each pixel in the grayscale image, perform non-maximum suppression in the gradient direction, remove edge artifacts, determine two thresholds, and perform graded judgment between weak edges and strong edges; An optimal threshold is selected by the Otsu threshold segmentation algorithm and the grayscale image is divided into a foreground and a background. By traversing all possible thresholds, a threshold that maximizes the inter-class variance is selected, wherein the foreground includes particles in the sample feed and the background includes powder particles in the sample feed; Extracting morphological features of particles and powders, the morphological features include area, aspect ratio, and circularity, the area is obtained by calculating the total number of pixels in the area, the aspect ratio is calculated by fitting a rectangle, and the circularity is calculated by the perimeter and area of ​​the area; Setting the aspect ratio threshold and circularity threshold, and dividing the area into particles and powder particles according to the morphological characteristics, aspect ratio threshold and circularity threshold; Calculate the ratio of the total area of ​​powder particles to the total area of ​​particles ,in, is the area of ​​the ith particle or powder, and The number of regions for granules and powders, respectively; If the ratio of the total area of ​​powder particles to the total area of ​​granules is greater than 11%, the output result is that the quality of the batch of feed sub-granules does not meet the standard; if the ratio of the total area of ​​powder particles to the total area of ​​granules is less than or equal to 11%, the output result is that the quality of the batch of feed sub-granules meets the standard.

[0011] Preferably, the method of transmitting the sample image to the data processing module for processing and outputting the quality of the batch of feed pellets and the production problems of the batch of feed pellets according to the particle size of the sample feed pellets and the ratio of pellets to powder, further includes the following steps: The output result is determined to be that the quality of the batch of feed pellets does not meet the standards; The grayscale image is used to identify edge information in the grayscale image through the Sobel operator, and the edge information includes edge intensity; Calculate the binary pattern of the neighborhood around each pixel and generate texture features; For a central pixel and its neighboring pixels , by comparison Construct a binary code based on the size relationship of its neighboring pixels ,in, It is 0 or 1 and indicates whether the condition is met; According to the LBP feature statistics of the local texture distribution, the roughness index of each area in the image is calculated. ,in, is the LBP value of other pixels in the area, and the area is considered rough when the roughness index exceeds the threshold; Using the grayscale image after edge detection, the strong edge region in the grayscale image is found by the change of the gradient amplitude in the image. If the edge strength is greater than a set threshold, the region is considered to be a strong edge region, and the strong edge region indicates a crack; Split the grayscale image into multiple small blocks , the number of roughness or cracks and the number of intact pieces of each small block are calculated to obtain the number of rough particles , Number of crack particles 、Number of complete particles ; If the number of complete particles >Number of coarse particles >Number of crack particles , the production problem of the batch of feed pellets is lack of moisture. If the number of complete pellets is >Number of crack particles >Number of coarse particles , then the production problem of the batch of feed pellets is the lack of binder. If the number of cracked pellets is or number of coarse particles >Number of complete particles , then the production problem of outputting the batch of feed pellets is uneven mixing.

[0012] Preferably, the method of transmitting the sample image to the data processing module for processing and outputting the quality of the batch of feed pellets and the production problems of the batch of feed pellets according to the particle size of the sample feed pellets and the ratio of pellets to powder, further includes the following steps: It was determined that the production problem of the output batch of feed pellets was lack of moisture; Convert the processed sample image into HSV space. , , ; In HSV space, extract the brightness channel ; Calculate the average brightness of the processed sample image , where N is the number of pixels, is the brightness value of each pixel; According to the comparison between the brightness mean and the brightness threshold, if the brightness mean is greater than the brightness threshold, it is output that the production problem of the batch of feed pellets is lack of added moisture; otherwise, it is output that the production problem of the batch of feed pellets is over-baking.

[0013] The present invention has the following beneficial effects: The piglet feed of the present invention can improve the immunity of piglets, enhance disease resistance, promote intestinal health, improve digestion and absorption efficiency, enhance growth performance, shorten fattening cycle, reduce stress response, improve environmental adaptability, and then reduce the illness of young pigs caused by the environment and the infection of the same kind of diseases, thereby ensuring that young pigs can grow smoothly; In addition, in the production method of the piglet feed, the finished feed and the defective feed can be distinguished by quality inspection, and when the feed is confirmed to be defective, a reference can be provided for problems existing in the production process of the batch of pig feed according to the situation of the pig feed, so that subsequent production personnel can make improvements based on the problems, thereby improving the finished product rate of the pig feed. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0017] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0019] In the description of the present invention, it should be understood that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, or are the orientations or positional relationships in which the product of the invention is conventionally placed when in use, or are the orientations or positional relationships conventionally understood by those skilled in the art. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0020] Furthermore, the terms “first”, “second”, “third”, etc. are merely used for distinguishing descriptions and are not to be understood as indicating or implying relative importance.

[0021] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0022] A piglet feed comprises corn flour, soybean meal, fish meal, wheat bran, whey powder, vegetable oil, probiotics, natural plant extracts, amino acids, vitamins, binders, chelated trace elements, calcium dihydrogen phosphate, and anti-stress additives.

[0023] The piglet feed of the present invention achieves multiple benefits. Corn meal, as the main energy source, provides the carbohydrates needed for piglets' daily activities and growth. The combination of soybean meal and fish meal not only provides piglets with high-quality plant and animal proteins, but also ensures the supply of essential amino acids, which are essential for muscle development and overall growth. The addition of wheat bran increases the intake of dietary fiber, which helps intestinal health and digestion. Whey powder not only provides easily digestible protein and lactose, but also helps to enhance immunity.

[0024] The inclusion of vegetable oil provides piglets with essential fatty acids and fat-soluble vitamins, while the addition of probiotics helps maintain the balance of intestinal flora and promotes nutrient absorption, while enhancing immunity and preventing intestinal diseases. Chelated trace elements such as zinc, copper, manganese, etc. are essential for the development of bones and the immune system, while natural plant extracts provide antioxidants and anti-inflammatory ingredients, further enhancing the piglets' resistance.

[0025] The supplementation of amino acids ensures that the piglets' needs for specific amino acids are met during their growth, while the addition of calcium dihydrogen phosphate provides the necessary calcium and phosphorus for the health of bones and teeth. The appropriate addition of vitamins A, D, E, K and B group supports the piglets' immunity and normal physiological functions, and anti-stress additives such as vitamin C and tea polyphenols help reduce the stress response caused by environmental changes and improve the piglets' environmental adaptability.

[0026] The use of binders ensures that the feed can form stable particles, which is easy to feed and digest and absorb. Overall, this formula aims to provide a comprehensive nutritional solution through the synergistic effect of various raw materials to support the immunity, intestinal health, growth efficiency and stress resistance of piglets, and ultimately achieve the goal of improving growth performance and shortening fattening cycles, so as to reduce the incidence of piglets becoming sick due to environmental problems and infectious diseases of the same species.

[0027] A method for producing a piglet feed, for producing the above piglet feed, such as Figure 1 As shown, the following steps are included: Raw material preparation: prepare dry powder raw materials according to the formula content, and sieve the dry powder raw materials to remove impurities; Batching, based on the distribution of dry powdered raw materials and preliminary mixing by hand; Secondary mixing: using a mixer to mix the dry powdered raw materials; Add water to adjust the humidity and mix well. During the mixing process in the mixer, water and liquid raw materials are added to obtain feed rough embryos; Put the feed embryo into the ring die pellet machine for pelleting to obtain the primary feed pellets; The primary feed pellets are put into a drum dryer for baking and adjusting the moisture content to obtain secondary feed pellets; A batch of sample feed particles are taken from the same batch of feed particles, spread out and tested, and the quality of the batch of feed particles is judged according to the particle size of the sample feed particles and the ratio of particles to powder particles. If the quality of the batch of feed particles meets the standard, they are filled, packaged and stored to obtain finished feed. If the quality of the batch of feed particles does not meet the standard, they are filled, packaged, stored and marked to obtain defective feed.

[0028] Through the above method, people can obtain the piglet feed, and can sample and test the piglet feed, and then classify the quality of this batch of piglet feed, to ensure that the produced piglet feed must be finished feed with qualified quality, to ensure the quality of the product when it is sold, and to avoid inferior feed with unqualified particle size and a large amount of powder particles from getting stuck in the trough during the subsequent feeding process, to ensure that the piglets can eat again.

[0029] Preferably, a batch of sample feed particles are extracted from the same batch of feed particles for flattening and testing, and the quality of the batch of feed particles is judged according to the particle size of the sample feed particles and the ratio of particles to powder particles, including the following steps: The feed pellets of the same batch will be determined; Take a batch of sample feed pellets from the bottom of the same batch of feed pellets; Spread the sample feed particles in a solid-colored feed pan and cover the entire pan; Each group of flattened sample feed particles is photographed by an image acquisition module to obtain a sample picture; The sample images are transferred to the data processing module for processing and the quality of the batch of feed pellets and the production problems of the batch of feed pellets are output according to the particle size of the sample feed particles and the ratio of particles to powder particles.

[0030] The image acquisition module mentioned in the above steps can be a camera, and the data processing module can be a processor. Through the above method, the image acquisition module can be used to obtain a sample picture of the flattened sample feed, and then the sample picture is processed by the data processing module, so that the production method can more quickly and accurately obtain the quality of the batch of feed particles and the production problems of the batch of feed particles, thereby greatly improving the production detection efficiency of the feed.

[0031] Preferably, the sample image is transferred to the data processing module for processing and the quality of the batch of feed pellets and the production problems of the batch of feed pellets are output according to the particle size of the sample feed pellets and the ratio of pellets to powder particles, including the following steps: Perform Gaussian filtering to denoise the sample image ,in, is the Gaussian kernel, This is the sample picture after processing; The processed sample image is grayed to obtain a grayscale image ,in, are the pixel values ​​of the red, green, and blue channels respectively, is the pixel value of the grayscale image; Use the Canny algorithm to identify the edges of particles in the grayscale image, and use the Sobel operator to calculate the gradient strength and direction of each pixel in the grayscale image. , perform non-maximum suppression in the gradient direction, remove edge artifacts, determine two thresholds, and make graded judgments between weak edges and strong edges; The Otsu threshold segmentation algorithm is used to select the optimal threshold and divide the grayscale image into foreground and background. ,in, and are the weights of the two regions after segmentation, and For the variance of the two regions, by traversing all possible thresholds, the threshold that maximizes the inter-class variance is selected. The foreground includes the particles in the sample feed, and the background includes the powder particles in the sample feed; The morphological features of particles and powders are extracted. The morphological features include area, aspect ratio, and circularity. The area is obtained by calculating the total number of pixels in the area. , circularity is calculated by the perimeter and area of ​​the region, circularity , where P is the perimeter of the area; Setting the aspect ratio threshold and circularity threshold, and dividing the area into particles and powder particles according to the morphological characteristics, aspect ratio threshold and circularity threshold; Calculate the ratio of the total area of ​​powder particles to the total area of ​​particles ,in, is the area of ​​the ith particle or powder, and The number of regions for granules and powders, respectively; If the ratio of the total area of ​​powder particles to the total area of ​​granules is greater than 11%, the output result is that the quality of the batch of feed sub-granules does not meet the standard; if the ratio of the total area of ​​powder particles to the total area of ​​granules is less than or equal to 11%, the output result is that the quality of the batch of feed sub-granules meets the standard.

[0032] Through the above steps and methods, people can use the data processing module to analyze the situation of the flattened sample feed, and judge whether there is too much powder and particles in this batch of feed that causes poor product quality through the proportion of powder and particles in the sample image, thereby greatly improving the detection efficiency of the feed.

[0033] Preferably, the sample image is transmitted to the data processing module for processing and the quality of the batch of feed pellets and the production problems of the batch of feed pellets are output according to the particle size of the sample feed pellets and the ratio of pellets to powder particles, and the following steps are also included: The output result is determined to be that the quality of the batch of feed pellets does not meet the standards; The grayscale image is identified by the Sobel operator. The edge information includes the edge intensity. ; Calculate the binary pattern of the neighborhood around each pixel and generate texture features; For a central pixel and its neighboring pixels , by comparison Construct a binary code based on the size relationship of its neighboring pixels ,in, It is 0 or 1 and indicates whether the condition is met; According to the LBP feature statistics of the local texture distribution, the roughness index of each area in the image is calculated. ,in, is the LBP value of other pixels in the area, and the area is considered rough when the roughness index exceeds the threshold; Use the grayscale image after edge detection to find the strong edge area in the grayscale image by changing the gradient amplitude in the image. , if the edge strength is greater than the set threshold, the region is considered to be a strong edge region, and the strong edge region indicates a crack; Split the grayscale image into multiple small blocks , the number of roughness or cracks and the number of intact pieces of each small block are calculated to obtain the number of rough particles , Number of crack particles 、Number of complete particles ; If the number of complete particles >Number of coarse particles >Number of crack particles , the production problem of the batch of feed pellets is lack of moisture. If the number of complete pellets is >Number of crack particles >Number of coarse particles , then the production problem of the batch of feed pellets is the lack of binder. If the number of cracked pellets is or number of coarse particles >Number of complete particles , then the production problem of outputting the batch of feed pellets is uneven mixing.

[0034] Through the above steps and methods, when it is determined that the feed is defective feed, not only can the marking of this batch of pig feed be completed, but further identification and analysis can be performed based on the obtained sample pictures, thereby providing a certain reference for the production operators for possible problems in the subsequent production of pig feed, so that the production operators can have a better reference for the correction of the production parameters of the pig feed, and the subsequent pig feed production process can improve the finished product rate and reduce the defective rate as soon as possible.

[0035] Preferably, the sample image is transmitted to the data processing module for processing and the quality of the batch of feed pellets and the production problems of the batch of feed pellets are output according to the particle size of the sample feed pellets and the ratio of pellets to powder particles, and the following steps are also included: It was determined that the production problem of the output batch of feed pellets was lack of moisture; Convert the processed sample image into HSV space. , , ; In HSV space, extract the brightness channel ; Calculate the average brightness of the processed sample image , where N is the number of pixels, is the brightness value of each pixel; According to the comparison between the brightness mean and the brightness threshold, if the brightness mean is greater than the brightness threshold, it is output that the production problem of the batch of feed pellets is lack of added moisture; otherwise, it is output that the production problem of the batch of feed pellets is over-baking.

[0036] Through the above method and steps, it is possible to further analyze the problem under the premise of determining that the problem in the pig feed production process is due to water shortage, and determine whether it is too little water added in the production process, or excessive baking when adjusting the water content, so that production operators can have a certain reference for correcting problems in the pig feed production process, and then improve the finished product rate of pig feed with faster efficiency.

[0037] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A piglet feed, characterized in that: Including corn flour, soybean meal, fish meal, wheat bran, whey powder, vegetable oil, probiotics, natural plant extracts, amino acids, vitamins, and binders.

2. A piglet feed according to claim 1, characterized in that: Also includes chelated trace elements, monocalcium phosphate, and anti-stress additives.

3. A method for producing piglet feed, for producing the piglet feed as claimed in claim 1 or 2, characterized in that: The following steps are included: Raw material preparation: prepare dry powder raw materials according to the formula content, and sieve the dry powder raw materials to remove impurities; Batching, based on the distribution of dry powdered raw materials and preliminary mixing by hand; Secondary mixing: using a mixer to mix the dry powdered raw materials; Add water to adjust the humidity and mix well. During the mixing process in the mixer, water and liquid raw materials are added to obtain feed rough embryos; Put the feed embryo into the ring die pellet machine for pelleting to obtain the primary feed pellets; The primary feed pellets are put into a drum dryer for baking and adjusting the moisture content to obtain secondary feed pellets; A batch of sample feed particles are taken from the same batch of feed particles, spread out and tested, and the quality of the batch of feed particles is judged according to the particle size of the sample feed particles and the ratio of particles to powder particles. If the quality of the batch of feed particles meets the standard, they are filled, packaged and stored to obtain finished feed. If the quality of the batch of feed particles does not meet the standard, they are filled, packaged, stored and marked to obtain defective feed.

4. The method for producing a piglet feed according to claim 3, characterized in that: The method comprises the following steps: extracting a batch of sample feed particles from the same batch of feed particles, laying them out and testing them, and judging the quality of the batch of feed particles according to the particle size of the sample feed particles and the ratio of particles to powder particles. The feed pellets of the same batch will be determined; Take a batch of sample feed pellets from the bottom of the same batch of feed pellets; Spread the sample feed particles in a solid-colored feed pan and cover the entire pan; Each group of flattened sample feed particles is photographed by an image acquisition module to obtain a sample picture; The sample images are transferred to the data processing module for processing and the quality of the batch of feed pellets and the production problems of the batch of feed pellets are output according to the particle size of the sample feed particles and the ratio of particles to powder particles.

5. The method for producing a piglet feed according to claim 4, characterized in that: The method of transmitting the sample image to the data processing module for processing and outputting the quality of the batch of feed particles and the production problems of the batch of feed particles according to the particle size of the sample feed particles and the ratio of particles to powder particles includes the following steps: Perform Gaussian filtering and denoising on the sample images; Grayscale the processed sample image to obtain a grayscale image; Use the Canny algorithm to identify the edges of particles in the grayscale image, use the Sobel operator to calculate the gradient strength and direction of each pixel in the grayscale image, perform non-maximum suppression in the gradient direction, remove edge artifacts, determine two thresholds, and perform graded judgment between weak edges and strong edges; An optimal threshold is selected by the Otsu threshold segmentation algorithm and the grayscale image is divided into a foreground and a background. By traversing all possible thresholds, a threshold that maximizes the inter-class variance is selected, wherein the foreground includes particles in the sample feed and the background includes powder particles in the sample feed; Extracting morphological features of particles and powders, the morphological features include area, aspect ratio, and circularity, the area is obtained by calculating the total number of pixels in the area, the aspect ratio is calculated by fitting a rectangle, and the circularity is calculated by the perimeter and area of ​​the area; Setting the aspect ratio threshold and circularity threshold, and dividing the area into particles and powder particles according to the morphological characteristics, aspect ratio threshold and circularity threshold; Calculate the ratio of the total area of ​​powder particles to the total area of ​​particles ,in, is the area of ​​the ith particle or powder, and The number of regions for granules and powders, respectively; If the ratio of the total area of ​​powder particles to the total area of ​​granules is greater than 11%, the output result is that the quality of the batch of feed sub-granules does not meet the standard; if the ratio of the total area of ​​powder particles to the total area of ​​granules is less than or equal to 11%, the output result is that the quality of the batch of feed sub-granules meets the standard.

6. The method for producing a piglet feed according to claim 5, characterized in that: The method of transmitting the sample image to the data processing module for processing and outputting the quality of the batch of feed particles and the production problems of the batch of feed particles according to the particle size of the sample feed particles and the ratio of particles to powder particles, also includes the following steps: The output result is determined to be that the quality of the batch of feed pellets does not meet the standards; The grayscale image is used to identify edge information in the grayscale image through the Sobel operator, and the edge information includes edge intensity; Calculate the binary pattern of the neighborhood around each pixel and generate texture features; For a central pixel and its neighboring pixels , by comparison Construct a binary code based on the size relationship of its neighboring pixels ,in, It is 0 or 1 and indicates whether the condition is met; According to the LBP feature statistics of the local texture distribution, the roughness index of each area in the image is calculated. ,in, is the LBP value of other pixels in the area, and the area is considered rough when the roughness index exceeds the threshold; Using the grayscale image after edge detection, the strong edge region in the grayscale image is found by the change of the gradient amplitude in the image. If the edge strength is greater than a set threshold, the region is considered to be a strong edge region, and the strong edge region indicates a crack; Split the grayscale image into small blocks , the number of roughness or cracks and the number of intact pieces of each small block are calculated to obtain the number of rough particles , Number of crack particles 、Number of complete particles ; If the number of complete particles >Number of coarse particles >Number of crack particles , then the production problem of the batch of feed pellets is lack of moisture. If the number of complete pellets is >Number of crack particles >Number of coarse particles , then the production problem of the batch of feed pellets is the lack of binder. If the number of cracked pellets is or number of coarse particles >Number of complete particles , then the production problem of outputting the batch of feed pellets is uneven mixing.

7. A piglet feed and a production method thereof according to claim 6, characterized in that: The method of transmitting the sample image to the data processing module for processing and outputting the quality of the batch of feed particles and the production problems of the batch of feed particles according to the particle size of the sample feed particles and the ratio of particles to powder particles, also includes the following steps: It was determined that the production problem of the output batch of feed pellets was lack of moisture; Convert the processed sample image into HSV space. , , ; In HSV space, extract the brightness channel ; Calculate the average brightness of the processed sample image , where N is the number of pixels, is the brightness value of each pixel; According to the comparison between the brightness mean and the brightness threshold, if the brightness mean is greater than the brightness threshold, it is output that the production problem of the batch of feed pellets is lack of added moisture; otherwise, it is output that the production problem of the batch of feed pellets is over-baking.

Images