24 results about "Nutritional Indices" patented technology

The invention relates to the technical field of concentrated feed formula regulation and control, and discloses an equus animal concentrated feed formula regulation and control method, device and equipment and a storage medium. And performing dynamic iterative optimization of a solving algorithm, quantitative processing of a solution-free problem and residual verification of a solving result during planning solving by adopting an EXCEL planning solving method according to a formula regulation and control objective function determined by lowest cost and nutrition standard reaching and a constraint condition consisting of a raw material proportion constraint, a nutrition demand constraint and a total proportion relaxation constraint. And adjusting the formula through nutrition index measurement and data verification to obtain the final equus animal concentrated feed formula. Therefore, the problems of low solving efficiency, solving failure and uncontrollable nutrition deviation of a traditional EXCEL planning method are solved by means of dynamic iteration step length, solution-problem-free quantification, determination adjustment and the like, and a high-precision, high-efficiency and low-cost equus animal concentrated feed formula regulation and control scheme is provided.

The invention discloses an intelligent control method for an unconventional feed production line, and relates to the field of intelligent control. The method comprises the following steps: acquiring a conventional nutrition weight, a functional nutrition weight and a safety risk weight set by a user; constructing a multi-objective optimization model by taking a raw material ratio vector and a production process parameter vector as decision variables, taking the maximization of a comprehensive performance scoring function of a feed product as an optimization objective and taking the ranges of a nutritional index, a safety index, a raw material ratio and a process parameter as constraint conditions; solving the multi-objective optimization model by using an optimization algorithm to obtain an optimal raw material ratio vector and an optimal production process parameter vector; according to the optimal raw material ratio vector and the optimal production process parameter vector, an unconventional feed production line is controlled for production, the raw material ratio and key production process parameters can be adjusted in a self-adaptive mode, and an unconventional feed product achieving the comprehensive optimal state in the aspects of conventional nutrition, functional nutrition and safety is stably produced.

The invention belongs to the technical field of agricultural product drying, and particularly relates to a jujube slice drying process key quality index prediction method based on multi-source easy-to-measure index fusion. The invention aims to design a key quality index prediction method suitable for a drying process, and provides the key quality index prediction method for the drying process of the jujube slices by establishing a prediction model for important nutritional indexes of the jujube slices in order to solve the problem that the important nutritional indexes of the jujube slices are difficult to monitor in the drying process in the prior art. According to the method, the important nutritional indexes of the jujube slices in the drying process can be quantitatively monitored in real time, the content of different quality indexes of the jujube slices can be rapidly and accurately detected, quantitative data support is provided for optimizing the drying process, the controllability of the drying process and the consistency of product quality are enhanced, and the method has high market application and popularization value.

The invention provides an application of a prognostic nutritional index (PNI) in prognostic analysis of acute complications of diabetes mellitus, and provides a prognostic analysis system of acute complications of diabetes mellitus by verifying the prediction effect of the PNI in prognosis of patients with acute complications of diabetes mellitus. The ROC analysis result shows that the AUC of the PNI is 83.1%, the prediction effect on the prognosis of the acute complications of diabetes mellitus is superior to that of other inflammation and trophic factors, and under the AUC, the critical value of the PNI is 42.93, the corresponding sensitivity is 0.944, and the specificity is 0.568. It is indicated that PNI is significantly related to the total cause death risk of T2DM acute complication (DKA and HHS) patients, and PNI may become a simple, convenient and easy-to-popularize index for predicting prognosis of T2DM acute complication patients, and can be used as a medical decision reference.

A system for generating a nourishment program includes a computing device configured to retrieve a nociception parameter, classify the nociception parameter to a nociception grouping, identify, using the nociception grouping, a plurality of nutrition elements, wherein identifying the plurality of nutrition elements includes generating a plurality of nutritional metrics associated with reduction of nociception as a function of the nociception grouping, determining a respective effect of each nutritional metric of the plurality of nutritional metrics on the nociception parameter, calculating at least a nutritional level as a function of the respective effect of each nutritional metric, wherein the at least a nutritional level comprises an amount intended to address the nociception parameter, and identifying the plurality of nutrition elements as a function of the at least a nutritional level, and generate a nociception nourishment program using the plurality of nutrition elements.

The invention discloses zero-sugar yoghurt and a preparation method thereof.The yoghurt takes raw milk as a main raw material, erythritol and sucralose are compounded to serve as a sweet system, fructo-oligosaccharide (prebiotics) and polydextrose (dietary fibers) are matched to form a unique formula of double sweeteners and double functional fibers, a stabilizer and edible essence are not additionally added, and the zero-sugar yoghurt is prepared. The final product meets the nutritional indexes that the protein is greater than or equal to 3.3 g / 100g and the fat is greater than or equal to 3.4 g / 100g, and adopts a 236 g PET bottling specification; through the synergistic effect of specific components, the problem of after-bitterness of a single sweetening agent is solved, the dual effects of improving intestinal health and optimizing product texture are achieved, meanwhile, the mellow and smooth natural taste and system stability of yoghourt are guaranteed, and a healthier zero-sugar dairy product choice is provided for consumers.

This invention discloses a hoof protein product and its preparation method, belonging to the field of component separation and extraction; using hoof as raw material, the method includes the following steps: (1) hoof pretreatment: the hoof is washed, crushed and sieved to obtain hoof powder (2) subcritical extraction: the hoof powder is taken and pure water containing food-grade acid-base regulator is added, and a reaction solution is prepared by subcritical hydrolysis reaction (3) the reaction solution is centrifuged, separated, dialyzed and dried to obtain hoof protein; the extracted hoof protein is rich in total essential amino acids (more than 40 g / 100g), among which the content of essential amino acids such as histidine, leucine, isoleucine, threonine and cysteine ​​exceeds the content of ideal protein amino acids recommended by WHO / FAO, and has high nutritional value. The essential amino acid index (EAAI), biological value (BV) and nutritional index (NI) are close to the gold standard of egg protein, and the digestibility is high. It has good functional characteristics and has the potential to be a protein supplement component; the preparation process of this invention is scientific and reasonable, easy to operate, low in cost, can realize continuous production, and has no pollution to the environment.

The invention discloses a corn variety screening method based on a corn quality evaluation system model, and relates to the field of corn variety screening and evaluation. According to the method, the volume weight and key nutrition index data of a corn sample are collected, a global coupling matrix and inversion characteristic parameters are constructed, drive mapping of the volume weight to each nutrition index is realized, nonlinear coupling mapping between the volume weight and crude fat, crude protein, lysine and crude starch is established by using a single-index inversion neural network, and the volume weight and the crude fat, the crude protein, the lysine and the crude starch are subjected to non-linear coupling mapping. Meanwhile, a multi-scale inversion offset modulation factor and an inversion mapping sensitivity function are embedded, and comprehensive mapping of input changes and output indexes is achieved; a network is trained through an inversion composite loss function, prediction indexes and volume weights are weighted in combination with a variety screening evaluation function to generate a comprehensive score, the corn varieties are scientifically sorted and screened, and nutrition index relevance reflection and comprehensive evaluation of the corn quality are achieved.

The invention belongs to the field of food system environmental impact assessment and dietary transformation, and particularly relates to a dietary structure multi-scale carbon footprint optimization and assessment method considering methane attenuation. The method comprises the following steps: determining a plurality of evaluation time scales; and embedding the methane dynamic attenuation model into food life cycle carbon footprint accounting, and re-accounting the carbon footprint coefficients of the food under different time scales. And constructing an optimization model with a minimum carbon footprint as a target, and solving an optimal dietary structure under different time scales by taking multiple nutritional indexes and food intake rationality as constraint conditions. According to the method, a scientific basis is provided for making a climate policy, dietary transformation can be guided more accurately, and the climate benefit of dietary transformation can be evaluated correctly. The method is suitable for practical application in the fields of diet optimization, climate alleviation policy making, environmental impact assessment and the like.

This application discloses a method and device for monitoring bean sprout growth based on multi-parameter sensing, comprising: acquiring environmental parameters and growth images during the bean sprout growth process through multiple sensors and image acquisition devices; preprocessing the environmental parameters and growth images to extract environmental and image recognition features; inputting the environmental and image recognition features into a pre-trained growth stage prediction model to predict the growth stage and nutritional indicators of the bean sprouts; determining whether the bean sprouts are in the optimal harvesting period based on the predicted growth stage and nutritional indicators, and generating harvesting suggestions; when the predicted growth stage is the nutrient enrichment period and the nutritional indicators reach a preset threshold, determining that the optimal harvesting period has been reached, and pushing a harvesting reminder to the user. This application can accurately predict the peak nutritional value and optimal harvesting period of bean sprouts, and only requires low-cost commercial sensors, without the need for expensive equipment such as GC-MS, making it truly suitable for home use.

The application discloses a corn variety screening method based on a corn quality evaluation system model, and relates to the field of corn variety screening and evaluation. The application collects the bulk density and key nutritional index data of corn samples, constructs a global coupling matrix and inversion characteristic parameters, realizes the driving mapping of the bulk density on each nutritional index, and establishes the nonlinear coupling mapping between the bulk density and crude fat, crude protein, lysine and crude starch by using a single index inversion neural network. Meanwhile, a multi-scale inversion offset modulation factor and an inversion mapping sensitivity function are embedded to realize the comprehensive mapping of input changes and output indexes. The network is trained by using an inversion composite loss function, and the comprehensive score is generated by weighting the predicted indexes and the bulk density in combination with a variety screening and evaluation function, so that the corn varieties are scientifically sorted and screened, the correlation of the nutritional indexes is reflected, and the comprehensive evaluation of the corn quality is realized.

This application discloses a flavor-enhancing and fresh-preserving braising liquid and its preparation method, belonging to the field of food seasoning technology. It contains a variety of spices and seasonings blended in a specific weight ratio, prepared through a process of caramelizing sugar for aroma enhancement, staged simmering, sealed static aging, filtration, and ultra-high temperature instantaneous sterilization. This method solves the technical problems of traditional braising liquids, such as single aroma, short-lasting fragrance, poor deodorization, bitterness after prolonged cooking, excessive medicinal flavor, short shelf life, high salt and oil content, and the inability to simultaneously enhance aroma and preserve freshness. Testing showed that the product had no detectable acid value or peroxide value, met coliform bacteria standards, and its sensory and nutritional indicators met national and enterprise standards. It has extremely low fat and saturated fat content, possessing both a rich, complex aroma and long-lasting preservation effect. With stable flavor and healthy low-fat properties, it is suitable for the industrial production, long-distance transportation, and long-term storage of Chinese-style braised foods, showing promising application prospects.

The invention discloses a food nutrition analysis method based on a multi-modal large model, and belongs to the technical field of natural language processing. According to the method, a multi-modal model is trained by using an image-nutritional ingredient contrast data set, and a plurality of key nutritional indexes such as carbon water, fat, fiber, calorie, protein, salt, saturated fat and sugar are automatically deduced from a single picture. The technical innovation comprises multi-source data fusion, that is, a unified multi-modal feature space is constructed in combination with food picture features and nutrition database data; end-to-end regression prediction is carried out, that is, an image is directly used as input, and a plurality of continuous numeric nutrition indexes are output instead of being only limited to category identification; the interpretability is enhanced, that is, the relationship between an image area concerned by the model and nutrition prediction is displayed through an attention mechanism or a visualization tool, and the user credibility is improved; and performing personalized adaptation, namely dynamically adjusting prediction and recommendation strategies of the model in combination with historical diet records and health targets of the user.

The invention relates to the technical field of microbial fermentation and feed production, in particular to a free gossypol degrading bacterium YJQ-1 and application thereof.The free gossypol degrading bacterium YJQ-1 is Wickerhamomyces anomalus, is preserved in the China Center for Type Culture Collection on March 4, 2026, has the preservation number of CCTCC M 2026367 and is separated from Sichuan Dazhou sweet distiller's yeast. The strain can tolerate 2.0 g / L of gossypol acetate, and the degradation rate of 1.0 g / L of gossypol acetate within 72 h reaches 83.75%. The microbial inoculum prepared from the strain is inoculated to cottonseed meal sieved by a 40-mesh sieve according to the inoculum size of 5%, the moisture content is adjusted to 40%, solid state fermentation is performed at 30 DEG C for 7 days, the gossypol degradation rate is 86.52%, the free gossypol is only 144 mg / Kg, and nutritional indexes such as cottonseed meal crude protein and protein digestibility are remarkably improved. The technology is low-carbon and environment-friendly, the application range of the cottonseed meal is widened, and a foundation is laid for biological manufacturing of oil processing byproduct protein resources.

The invention discloses application of a prognosis nutritional index in preparation of an amitinib-related oral mucositis risk assessment kit, and relates to the technical field of medical diagnosis and risk assessment. The invention provides an application of a prognosis nutritional index in preparation of an amitinib-related oral mucositis risk assessment kit. The prognosis nutrition index is divided into four quartile intervals: Q1 (10.10 to 46.90), Q2 (46.91 to 50.65), Q3 (50.66 to 55.20) and Q4 (55.21 to 320.80). Large sample retrospective analysis proves that the PNI and the amitinib related oral mucositis risk are in significant negative correlation, the OM risk is reduced by about 1% every time the PNI is increased by 1 unit, stability is kept in multi-factor regression, tendency score matching and subgroup analysis, and the risk assessment accuracy is high. The method is high in clinical applicability, low in cost, easy and convenient to operate and suitable for primary hospitals and high-load medical environments, and the PNI is calculated based on conventional blood detection indexes.

The application relates to the technical field of medical information, and discloses an AI-based rapid evaluation system and method for large customer nutrition cases, wherein the AI-based rapid evaluation method for large customer nutrition cases comprises the following steps: processing population statistical characteristic data by using a meta-learning network to generate a sampling basic model for a specific population; constructing a Bayesian decision network to calculate nutrition index information value and generate an index information cost ratio; constructing a sequential sampling strategy by using a Markov decision process according to the index information cost ratio, and performing adaptive index sampling; in the process of performing adaptive index sampling, calculating information gain rate to realize a dynamic termination decision and avoid over-sampling; and applying conditional probability inference to generate a complete nutrition evaluation result, so that a high-precision evaluation result can be obtained by measuring only a small number of indexes; and the application solves the resource limitation problem in the evaluation of large customer nutrition cases by using information value theory and meta-learning technology.

The invention relates to the technical field of orchard management, and particularly discloses an orchard supervision method and system based on fruit tree nutrition diagnosis, and the method comprises the steps: collecting the image information and growth environment information of fruit trees in real time, and carrying out the preprocessing of the collected information; inputting the preprocessed image information into a nutrition diagnosis model to obtain a nutrition index predicted value, and correcting the predicted value in combination with growth environment information to obtain a nutrition index actual value; comparing the actual value of the nutritional index with a preset suitable range, and evaluating the nutritional condition of the fruit tree; generating corresponding orchard supervision measures according to the evaluation result; the monitoring measures are sent to terminal equipment of a manager, growth information and environment information in the operation process are collected in real time, the effect of the measures is evaluated, and if the effect is not good, an adjustment mechanism is triggered. According to the invention, accurate supervision of the orchard is realized, and the yield and quality of fruit trees can be improved.

The invention belongs to the technical field of microorganisms, and particularly relates to saccharomyces cerevisiae for animal daily ration fermentation, a daily ration leavening agent and a fermentation method. The preservation number of the saccharomyces cerevisiae provided by the invention is GDMCC NO: 66683. In addition, the invention provides lactobacillus plantarum with the preservation number of GDMCC NO: 66684 and a leavening agent composed of the saccharomyces cerevisiae, the lactobacillus plantarum and bacillus subtilis, and the saccharomyces cerevisiae, the lactobacillus plantarum and the bacillus subtilis can be synergistically used for animal daily ration fermentation. Saccharomyces cerevisiae has outstanding hypoxia fermentation resistance, grows well and can improve the nutritional index of animal daily ration.

The application discloses a kind of based on eDNA and the indication species screening method of functional characteristics.The method includes collecting river water to determine nutrient indicators, constructs comprehensive nutrient gradient;Water samples are collected at river monitoring points and environmental DNA is extracted, and the species abundance matrix of monitoring point is obtained;According to the results of species annotation, retrieve literature or functional trait database, obtain the ecological functional trait of each species, obtain species trait coding matrix, further obtain the trait weighted matrix of monitoring point;The trait weighted matrix is fitted with the comprehensive nutrient gradient, the contribution of each functional trait to nutrient stress is calculated, the weighted coefficient of each trait is calculated, and the species functional trait indicator index is constructed accordingly, the indication ability score of all species is carried out and the candidate indicator species of nutrient stress is screened, and the effectiveness verification is further carried out, to identify the core indicator species highly sensitive to nutrient stress.The application can be used for river eutrophication monitoring and ecological health evaluation.

The invention discloses a water body full-nutrition balanced ecological restoration method based on mineral source inorganic materials, and belongs to the technical field of water body ecological restoration. The method sequentially comprises the seven steps of water body bottom mud global sampling, total nutrient index detection and analysis, remediation scheme customization planning, mineral source material type selection and compounding, functional material targeted modification, staged material precise feeding and dynamic monitoring and scheme optimization. Four types of core materials are compounded according to functions and are modified in a targeted manner, and a strategy of bottom mud-water body cooperation and staged addition is adopted, so that a synergistic effect of accurate and balanced regulation and control of total nutrition of the water body, in-situ activation of the bottom mud and reconstruction of a bacteria-algae symbiotic system is realized. The method is accurate in nutrition regulation and control, high in material utilization rate, long-acting and stable in remediation effect, ecological and safe, low in cost and simple and convenient to construct, can be widely applied to various nutrient-unbalanced and bottom mud anaerobic pollution release water bodies such as small and micro rivers, landscape lakes and reservoirs, pit ponds and wetlands, and is suitable for large-scale popularization.

The present application relates to the technical field of concentrate formula regulation, and discloses a horse concentrate formula regulation method, device, equipment and storage medium, a horse concentrate formula basic database is established, a formula regulation target function determined by the lowest cost and a nutrition standard, and constraint conditions composed of raw material proportion constraints, nutrition demand constraints and total proportion relaxation constraints, an EXCEL programming solution method is used in programming solution, dynamic iterative optimization of the solution algorithm, quantitative processing of no solution problems and residual error verification of the solution result are performed, formula adjustment is performed through nutrition index determination and data verification, and finally a horse concentrate formula is obtained. Therefore, the present application uses dynamic iterative steps, no solution problem quantification and determination adjustment, solves the problems of low solution efficiency, solution failure and uncontrollable nutrition deviation of the traditional EXCEL programming method, and proposes a horse concentrate formula regulation scheme with high precision, high efficiency and low cost.

The embodiment of the specification provides a kind of based on AI's nutritional health analysis and meal suggestion generation method and device, wherein, method includes: by Raman spectrum data and nutrition index historical data set, automatically build and optimize nutrient risk assessment model on visual machine learning platform, predict the nutrient state information of user based on new monitored Raman spectrum data by the nutrient risk assessment model;With large language model as engine, based on user basic information, historical dietary data and health monitoring data, using search enhancement generation technology dynamically searches authoritative knowledge base, generates nutritional health analysis report, and generates personalized meal suggestion according to the nutritional health analysis report, wherein, based on the health monitoring data includes: nutrient state information.

The application discloses a summer maize nitrogen nutrition diagnosis method based on infrared thermal imaging technology, and is applied to the technical field of summer maize nitrogen nutrition diagnosis. The method comprises the following steps: obtaining summer maize canopy thermal imaging data under different heights, angles and time shooting modes at different growth periods respectively; synchronously measuring the above-ground plant biomass, nitrogen accumulation amount, leaf area index, leaf SPAD value and absorbed photosynthetically active radiation component of summer maize at different growth periods; analyzing the difference of summer maize canopy temperature image information and the relationship between the nitrogen nutrition index; determining the influence effect of the shooting mode on the canopy temperature and determining the optimal shooting mode; determining the critical temperature according to the relationship between the canopy temperature and the relative yield, and constructing a summer maize nitrogen fertilizer real-time topdressing model at different growth periods, so as to provide theoretical support and thought reference for the application and development of the near-ground infrared thermal imaging precision diagnosis of summer maize nitrogen nutrition.

This application discloses a method, apparatus, device, and medium for dietary recommendation based on knowledge heterogeneity, relating to the field of intelligent dietary recommendation. The method includes: retrieving knowledge from a nutrition knowledge base and a traditional Chinese medicine knowledge base based on the dish to be analyzed, obtaining nutritional indicator features and property / flavor and efficacy features, and mapping attributes of the nutritional indicator features and property / flavor and efficacy features to construct a food object; based on the food object and the user's profile, constructing and generating prompt words based on preset rules, and receiving quantitative analysis data fed back from the generated prompt words according to a large language model to quantify the knowledge conflict between nutrition and traditional Chinese medicine and determine the knowledge conflict analysis result; integrating the food object, user profile, and quantitative analysis data based on the knowledge conflict analysis result to construct a recommendation result for the dish to be analyzed, and recommending the dish to be analyzed to the user based on the recommendation result. By implementing this application, the accuracy of dietary recommendations can be improved by integrating heterogeneous knowledge systems.