The object of the study reported in this paper is to establish a dependence of the fatty acid composition of the fast-growing annual plant safflower on the agroclimatic cultivating conditions. The growth rate of safflower and the characteristics of the extracted oil are highly dependent on external temperature and moisture. At low temperatures, for example, the growth of safflower is significantly inhibited. With an increase in temperature and the length of daylight, the central stem begins to branch while growing faster. Flowering is mainly affected by the length of daylight. The period from the end of flowering to maturity is typically 28‒30 days. However, the total ripening period of the crop depends on the variety, location, sowing time, and agro-climatic cultivating conditions. The need for water increases significantly during the flowering period of safflower, which ultimately affects the indicators of the fatty acid composition and yield. At the same time, safflower is sensitive to moisture in terms of disease. In case of excess water, it is subject to root rot. In addition, frequent rains and high humidity after ripening can provoke the germination of seeds on the head. Hence, it follows that in order to obtain a high yield with the specified characteristics of the fatty acid composition of safflower oil, it is necessary to take into consideration the quantitative indicators of moisture and its seasonality, as well as the temperature regime during the growing season. The study was conducted using arid or semi-arid, sharply continental Central Asia with its hot summers and cold winters as an example. The dependence of the physicochemical parameters of plant-derived oils on agroclimatic indicators has been established. The reported results and conclusions will allow farmers to predict the yield of oilseeds with specified characteristics depending on the changing climatic parameters

This study presents a hybrid data analysis approach to optimize the growing conditions for beetroot and tarragon microgreens cultivated in hydroponic systems. Maintaining precise microclimate control is essential, as even minor deviations can significantly affect the yield and product quality, but traditional monitoring methods fail to adapt promptly to changing conditions. To overcome this limitation, an automated monitoring system integrating machine learning methods XGBoost 3.0.0, principal component analysis (PCA), and fuzzy logic was developed. The model continuously identifies the deviations in environmental parameters and recommends corrective actions to stabilize the growth conditions. Experimental evaluation demonstrated superior predictive performance by using XGBoost, achieving an accuracy and F1-score of 97.88%, ROC-AUC of 99.99%, and computational efficiency (training completed in 2.3 s), outperforming RandomForest and GradientBoosting algorithms. Real-time data collection was facilitated through IoT sensors transmitting readings via Wi-Fi every 5 s to a local server, accumulating approximately 17,280 records per day. The analysis highlighted air humidity, solution humidity, and temperature as critical influencing factors. This research confirms the developed system’s effectiveness in intelligent hydroponic monitoring, with future work aimed at integrating IoT and IIoT technologies for scalable management across diverse crops.

This study presents a comparative evaluation of four drying methods for carrot, red beet, and pumpkin pomace to produce natural functional food ingredients. The work addresses the valorization of 35–45% vegetable processing waste—a rich source of bioactive compounds—aligning with circular bioeconomy principles and Kazakhstan’s goals for deep processing of agricultural raw materials. The compared methods were convective drying (CD), ultrasound pretreatment + convective drying (US + CD), vacuum-microwave drying (VMD), and ultrasound pretreatment + vacuum-microwave drying (US + VMD). Drying kinetics, water activity, physicochemical and functional properties of powders, retention of bioactive compounds, color characteristics, thermal stability, and sensory attributes were assessed. Kinetics were fitted using Midilli et al., Page, and Weibull models. US + VMD provided the highest drying acceleration (6–11 times faster than CD), reaching final moisture of 5.1–5.9%, water activity a_w 0.27–0.31 in 80–170 min, and bioactive compound retention of 90–95% (carotenoids 92–95%, betalains 90–94%). It also delivered superior flowability (Carr’s index 22.5–30.4%), dispersibility (80–88% in 30 s), and thermal stability (75–85% at 200 °C). Acceleration varied by raw material: maximum for beet (up to 11×) due to soluble sugars and nitrates, minimum for pumpkin (5.5–8×) due to dietary fibers and pectins, and intermediate for carrot (6–9×) influenced by carotenoids’ dielectric properties. The results highlight US + VMD’s strong potential for producing functional powders to replace synthetic additives in food systems. Effective method selection and parameter optimization require consideration of raw material type and rheological characteristics.

Honey is a valuable carrier for phytochemicals, yet data on halophyte-based fortification remain scarce. This study evaluated the impact of Portulaca oleracea and Salicornia perennans, applied as powders 1.5–4.5% or ethanol extracts 1.2–1.8%, on the antioxidant and functional properties of rapeseed and multifloral honeys. Antioxidant capacity (DPPH, ABTS), total phenolic (TPC), and flavonoid contents (TFC) increased significantly in a concentration-dependent manner, with powders consistently outperforming extracts. The strongest effects were obtained with 4.5% powders, yielding up to 77.83% DPPH, 99.11% ABTS, 14.85 mg gallic acid equivalents (GAE) per 100 g TPC, and 44.15 mg QE/100 g TFC-values surpassing controls and synthetic standards. Colorimetric and oxidative stability assays confirmed that enriched honeys exhibited slower browning and reduced peroxide/TBARS accumulation during storage. Sensory analysis further indicated improved color, aroma, taste, and overall acceptability. Between species, Salicornia showed slightly stronger effects than Portulaca, while multifloral honey provided greater synergy than rapeseed. These results demonstrate that halophyte powders are effective natural enhancers of honey’s antioxidant, technological, and sensory qualities, supporting their use in functional food development.

The chemical, amino acid and fatty acid compositions in the muscle tissue of camel meat of Almaty region were studied. The data obtained are important indicators that can be used to qualitatively and quantitatively assess the functionality of camel meat. Camel meat has a high nutritional value, the protein content is within 18.73-19.52%, moisture 76.59-78.5%, fat 2.1-2.77%. The material to determine the fatty acid composition of camel meat, we have selected from muscle tissue of the thigh (Biceps femoris) 3-year-old camel (dromedary). It was found that the fat content in camel meat is 2.55%, including saturated fatty acids 64.53% and monounsaturated 34.34% g/100 g of lipids. The ratio of unsaturated to saturated fatty acids averages 1.9%. Camel fat is characterized by a high content of monounsaturated fatty acids, such as oleic and palmitoleic (29.77% and 3.32% g/100 g of lipids). High lysine content of 10.47% and low tryptophan content of 0.16% were noted in comparison with the results of other authors. The ratio of the amount of essential amino acids to interchangeable in camel meat in the test sample is 0.70%, and the highest rate in Arabic meat is 0.97%.

The object of the study is the production of powdered dried honey. The limited use of honey in the food industry is due to its physicochemical properties. Viscosity and stickiness create problems during its dosing, mixing, storage and transportation. Honey in powder form has a high commercial potential. The great advantages of using dry honey are the reduction of storage space, ease of processing and dosing. Honey is characterized by organoleptic and physico-chemical parameters affecting the drying process and the quality of the final product. The resulting powdered dry honey, in compliance with the drying modes recommended by us, has retained all its useful biological properties. The water content, as well as the dry matter content in fresh and dried honey met the criteria for the composition of honey. Consequently, reducing the water content during the drying process significantly contributes to increasing the stability of honey during storage. The developed technology provides for reducing the drying temperature to 50 °C, which also has a positive effect on the nutritional value of the final product It is established that the maximum proportion of frozen moisture in the sublimation process is observed at temperatures from minus 30 °C to minus 40 °C, depending on the types of honey, and an increase in the drying temperature above 40 °C shortens the duration of the drying process, but may affect the quality of the product. Powdered honey is in demand in the food, pharmaceutical and cosmetic industries, due to increased dosing accuracy due to the flowability of dried honey. However, it should be borne in mind that dried honey is very hygroscopic due to the presence of sugars and the amorphous state after drying