AP23488904 «Development of a scientifically grounded recipe using uncontrolled machine learning in the production of canned complete wet feeds for non-productive animals»

Project manager: PhD Aruzhan Shoman Erbolkyzy

Source of funding: GF MSHE OF RK

Implementation years: 2024 – 2026

Funding volume: 119 190 43,90 tenge

The issue of the rational use of waste and secondary products from the processing of agricultural raw materials remains relevant in the context of growing interest in environmentally sustainable and innovative approaches in the food and feed industries. Particular attention is being given to the development of biologically complete feeds for non-productive animals, based on underutilized animal and plant raw materials with high nutritional and functional-biological potential. An important source of such components includes by-products of the meat industry and plant-based food waste, which contain proteins, vitamins, microelements, and other biologically active substances.

In the current context, the development of a resource-saving production technology and the scientific justification of the formulation of canned, complete wet feeds for non-productive animals of various breeds and ages (small and large dogs from 6 months and older) is of particular relevance. This technology employs unsupervised machine learning focused on the analysis of common food-related diseases in animals. Such an approach enables the creation of feeds that provide both preventive and corrective nutrition, as well as the rational use of secondary meat raw materials.

In the context of an emerging pet food market in Kazakhstan and growing demand for natural products, the implementation of zero-waste processing technologies is becoming critically important for the sustainable development of the industry, increasing production potential, and protecting the environment.

Development of a resource-saving production technology and scientific justification of the formulation of canned, complete wet feeds for non-productive animals of various breeds and ages (small and large dogs from 6 months and older), using unsupervised machine learning based on common food-related diseases in animals, and ensuring the rational use of secondary meat raw materials.

• Study of the market for wet feeds for non-productive animals of various breeds and ages (small and large dogs from 6 months and older) in Kazakhstan;
• Analysis of common diseases among non-productive animals of various breeds and ages (small and large dogs from 6 months and older);
• Study of raw materials for the production of canned, complete wet feeds for non-productive animals of various breeds and ages (small and large dogs from 6 months and older).
• Determine the physicochemical properties, nutritional and biological value of the components used for the production of canned, complete wet feeds for non-productive animals in the “premium class” range;
• Create a data matrix and apply unsupervised machine learning to develop the formulation of complete wet feeds for non-productive animals of various breeds and ages (small and large dogs from 6 months and older);
• Select raw materials and ingredients for formulating recipes for the production of canned, complete wet feeds for non-productive animals in the “premium class” range.
• Develop and calculate a mathematical model for the formulation of canned, complete wet feeds for non-productive animals of various breeds and ages (small and large dogs from 6 months and older) in the “premium class” range;
• Develop optimal technological modes for the production of canned, complete wet feeds for non-productive animals of various breeds and ages (small and large dogs from 6 months and older) in the “premium class” range;
• Develop a production technology for canned, complete wet feeds for non-productive animals of various breeds and ages (small and large dogs from 6 months and older) in the “premium class” range.
• Develop recommendations for the production, storage, and usage standards of canned, complete wet feeds for non-productive animals of various breeds and ages (small and large dogs from 6 months and older) in the “premium class” range;
• Develop experimental batches of the formulated canned, complete wet feeds “premium class” for non-productive animals of various breeds and ages (small and large dogs from 6 months and older) in laboratory conditions;
• Submit a patent application in Kazakhstan (RK);
• Publish at least two articles or reviews in journals indexed in Scopus and/or Web of Science, as well as publications in Committee for Quality Assurance in Science and Higher Education of the Ministry of Science and Higher Education of the Republic of Kazakhstan.

Experimental studies will be conducted using standard and original biochemical, microbiological, physicochemical, rheological, and organoleptic methods based on the latest achievements in science and technology. The justification and selection of research methods are based on an interconnected structural scheme of research, covering all stages and methodologies: research of initial raw materials, recommendations for production of preserved full-ration wet canned food, based on quality indicators.

Stage I: Research and Analytical

• Study of the wet feed market for non-productive animals of various breeds and ages in Kazakhstan.
• Analysis of common diseases among non-productive animals (small and large dogs from 6 months and older).
• Study of the raw material base for the production of canned, complete wet feeds.
• Determination of the physicochemical properties, nutritional, and biological value of components for the production of “premium class” feeds.

Stage II: Scientific and Technological Modeling and Recipe Development

• Creation of a data matrix and application of uncontrolled machine learning methods for recipe development.
• Selection of raw materials and ingredients considering the breed, age, and physiological characteristics of animals.
• Development and calculation of a mathematical model for “premium class” feed recipes.
• Development of optimal technological regimes for the production of canned wet feeds.
• Creation of a technological scheme and description of the production process with a resource-saving approach.

Stage III: Practical Implementation and Scientific Support

• Development of recommendations for production, storage conditions, and usage norms of the product.
• Production of experimental batches of “premium class” feeds in laboratory conditions.
• Preparation and submission of an invention application to the Republic of Kazakhstan.
• Publication of at least two scientific articles in journals indexed in Scopus and/or Web of Science, as well as publications in national scientific journals (Committee for Quality Assurance in Science and Higher Education of the Ministry of Science and Higher Education of the Republic of Kazakhstan).

Based on the results of scientific research, a resource-saving technology for the production of canned, complete wet feeds for non-productive animals of various breeds (small and large dogs) and ages (feeds for dogs from 6 months and older) of “premium class” will be scientifically substantiated. This technology will be in demand in the Kazakhstani market. Additionally, the use of low-value secondary meat and plant raw materials will be scientifically justified and experimentally proven as a result of conducted physicochemical and biochemical studies.

The formulations for canned food made from secondary meat raw materials are justified, utilizing uncontrolled machine learning, and incorporating protein-mineral-vitamin mixtures, with a product composition that closely meets the physiological needs of adult dogs and puppies of both large and small breeds.

The expected results based on the obtained scientific research will be the development of a scientifically grounded resource-saving technology for the production of canned complete wet food for non-productive animals of various breeds (small and large dogs) and ages (dogs from 6 months and older) of “premium class”, which will be in demand in the Kazakhstan market. In addition, the application of low-cost secondary meat and plant raw materials will be scientifically grounded and experimentally proven as a result of the conducted physicochemical and biochemical studies.

The practical solution to the set tasks will allow expanding the range of canned complete wet food for non-productive animals with enhanced biological value from domestic secondary raw materials, improve the quality and output of feeds, broaden the range of feeds, and increase the economic efficiency of the enterprise.

It will increase the share of domestic feeds in the Kazakhstani market through the modernization of the modern industrial enterprise by organizing the production of wet food in innovative packaging – retort pouches and lamister containers. The developed technology for producing complete canned wet food in soft packaging, when implemented in domestic production, will allow them to be sold at a price lower than that of foreign producers.

It will create additional jobs both at the existing meat processing enterprise through a closed-loop recycling system, and at the newly established mini-workshop for the production of canned wet food.

The results of the scientific research conducted as part of the project implementation are planned to be published:

• At least 2 (two) articles and/or reviews in peer-reviewed scientific publications indexed in the Science Citation Index Expanded of the Web of Science database and/or with a percentile of at least 50 (fifty) in the CiteScore database of Scopus;
• As well as at least 1 (one) article or review in a peer-reviewed international or domestic publication recommended by the Committee for Quality Assurance in Science and Higher Education of the Ministry of Science and Higher Education of the Republic of Kazakhstan.
• At least 1 (one) article or review in a peer-reviewed scientific publication indexed in the Science Citation Index Expanded of the Web of Science database and/or with a CiteScore percentile of at least 35 (thirty-five) in the Scopus database, and 1 (one) patent included in the Derwent Innovations Index (Web of Science, Clarivate Analytics);
• As well as at least 1 (one) article or review in a peer-reviewed international or domestic publication recommended by the Committee for Quality Assurance in Science and Higher Education of the Ministry of Science and Higher Education of the Republic of Kazakhstan;
• At least 1 (one) article or review in a peer-reviewed scientific journal indexed in the Science Citation Index Expanded and included in the 1st or 2nd quartile by impact factor in the Web of Science database, and/or with a CiteScore percentile of at least 65 (sixty-five) in the Scopus database;
• At least 1 (one) patent for an invention (including a positive decision on it).

Scientific articles published in the journals of Committee for Quality Assurance in Science and Higher Education of the Ministry of Science and Higher Education of the Republic of Kazakhstan, Scopus/Web of Science:

1. Shoman, A., Smaiyl, A., Kalykulova, A., Nugumanova, A., & Mukhametkaliyev, A. (2025). LEVERAGING BIG DATA FOR DOG HEALTH ANALYSIS: AN EXPLORATORY STUDY USING “TANBA” IN KAZAKHSTAN . Scientific Journal of Astana IT University, 21, 137–156. https://doi.org/10.37943/21SUAS7119