Intensification Method Research Articles

Reactive Extraction of Carboxylic Acids (Lactic, Propionic and Succinic Acids) using Tri-n-Butyl Amine Dissolved in Various Diluents

The current study intends to look into the extraction of lactic acid, propionic acid and succinic acids from aqueous solutions of these substances utilizing various solvent-extractant combinations to ascertain the most effective composition for the reactive extraction. The commercial value of succinic, propionic, and lactic acids in industrial processes led to their selection as the carboxylic acids. The process of recovering carboxylic acids from their aqueous solutions is accomplished by the Process Intensification method of reactive Tri-n-Butyl Amine was employed in the experiments because it has better stability, a lower water solubility, and is more eco-friendly than other extractants of the amine type. The extractants were dissolved in various diluents with various chemical structures, including 1-octanol, chloroform, and dimethylene chloride. Each experiment was conducted at 298.15 K. The distribution coefficient (KD), loading factor (Z), and extraction yield (%E) were used to compare the results in the range of 0.1 to 0.4 N acid concentration at various concentrations of Tri-n-Butyl Amine (10% to 40%). It was observed that at 0.1N and 40% amine concentration succinic acid attains a maximum distribution coefficient KD is 8.01 and equilibrium complexion KE1 is 7.5 for Tri-n-Butyl Amine, followed by propionic acid and lactic acid and a (1:1) type of acid amine complex was observed. The kinetic studies that were carried out using stirred cells to figure out the kinetic parameters such as order of the reaction with respect to acid and amine, mass transfer coefficient, and rate constant are also reported. The reaction with the highest Hatta number, MH=14, occurs in an instantaneous regime in 1-octanol when succinic acid and Tri-n-Butyl Amine interact.

Precision Phenotyping in Crop Science: From Plant Traits to Gene Discovery for Climate‐Smart Agriculture

ABSTRACTThe global population is placing unprecedented demand on food systems, which can be met only through a complex interplay of technology, sustainable food production intensification methods and climate resilience. To address such compounded requirements, developing high‐yielding crop varieties using precise plant breeding methods bolstered with efficient and nondestructive plant trait documentation approaches is vital. High‐throughput crop phenotyping (HTCP) platforms have prominently emerged as a mainstream approach for reducing the phenotyping bottleneck in breeding programmes. HTCP has the potential to provide detailed quantitative information of large plant populations under different growth stages across diverse environmental regimes, facilitating accelerated plant breeding strategies. New imaging platforms also enable nondestructive characterization of a wide range of above and below‐ground crop parameters. The specificity in use of sensors, automation of data collection, large‐scale data handling systems and accurate analytical tools have a substantial role in dynamic crop monitoring and big data interpretation. HTCP platforms are capable of making precise measurements of a wide range of physiological, morphological, biochemical and stress responses in plants. Developments of sensors with improved precision, intervention of unmanned aerial vehicles, robotics, computed tomography and machine learning have given a dramatic developmental leap to precise and large‐scale crop phenotyping. This review provides an avenue for understanding various high‐throughput phenotyping platforms, working principles, current developments and contributions to high‐throughput phenotyping of various crops under laboratory and field conditions. A detailed comparative idea on the advantages and pitfalls of these available platforms can help researchers in choosing the right technology suiting specific practical requirements. Furthermore, the review aims to provide novel future prospects and developmental requirements that can potentially widen the application and utilization of these HTCP technologies in agriculture.

Study of electrical resistivity vertical changes in carbonate oil-bearing reservoirs to determine the depth of free water level

Abstract The purpose of the study is to establish the depth of the free water level (FWL), the zone of oxidized oil, the oil-water transition zone, the zone of maximum and decreasing resistivity. Correct understanding of initial oil saturation zonation in carbonate oil-bearing reservoirs is very important for development planning. The article proposes a method for express assessment of the FWL depth and initial oil saturation zonation in carbonate oil-bearing reservoirs based on electrical resistivity study. The values of electrical resistivity determined from induction logging curves in more than 200 wells were used as initial data. The vertical change in the electrical properties is considered using the resistivity values of oil-bearing reservoirs averaged over all wells. The initial oil saturation zonation was analysed using the graphs of electrical resistivity against depth. As a result of the work done, the following conclusions were made regarding the zonation of initial oil saturation and the possible geological characteristics of carbonate oil-bearing reservoirs: 1) based on the graphs of electrical resistivity against depth it is possible to distinguish 3 zones of initial oil saturation: oil-water transition zone above FWL, zone of maximum resistivity in the middle part of the deposit, and zone of decreasing resistivity in the upper part of the deposit; 2) in general, the initial oil saturation in the reservoir (as a function of the electrical resistivity) upward from the initial FWL depth does not grow exponentially, as in the Leverett function, but linearly in each zone. Proposed express method for initial oil saturation zonation in carbonate reservoirs provides novel information for formation testing and perforation planning. In oil-water transition zone it is recommended to use the gentlest methods of perforation and production intensification to preserve the integrity of the oxidized oil zone, since this zone is water confining and can prevent premature water flooding of the product.

Modeling of bed-to-wall heat transfer coefficient in fluidized adsorption bed by gene expression programming approach

Adsorption cooling and desalination methods with adsorption chillers (AC) are promising in energy technologies. However, the low-performance coefficient and bulkiness of traditional packed-bed ACs, primarily due to the high voidage of the sorbent beds leading to low heat transfer coefficients, pose significant challenges. Despite numerous attempts, a practical solution to this problem is yet to be found.In response to this challenge, we propose a novel approach: a fluidized adsorbent bed instead of the traditional packed bed. We also introduce gene expression programming (GEP) as an innovative artificial intelligence (AI) method for modeling the bed-to-wall heat transfer coefficient in the adsorption bed. Our study includes calculations and model validation for a heat transfer adsorption bed reactor designed for low-pressure adsorption processes. The fluidizing agent of the adsorbent bed was water vapor generated in the evaporator. Silica gel was used as the parent adsorption material in our tests. The heat transfer coefficient was successfully validated and determined through experiments and estimated using the formulated (b-t-wHTc) meta-model. The data evaluated by the model aligns well with the experimental results. Our calculations demonstrate that the GEP-based model accurately predicts the heat transfer coefficient and is suitable for analyzing the fluidized adsorption bed reactor.The outlined studies serve as a benchmark for subsequent simulations of the intensified heat transfer adsorption bed reactor, as they are integral to project No. 2018/29/B/ST8/00442, titled “Research on sorption process intensification methods in modified construction of adsorbent beds,” supported by the National Science Center in Poland.

Energy efficiency of hydrogen production during dark fermentation

It is widely known that most of the world's energy is produced from non-renewable energy sources such as crude oil and coal. Hydrogen is an ideal fuel candidate with a high energy content and clean combustion product. Biohydrogen is an environmentally friendly, renewable biofuel with high energy density, making it a viable alternative to fossil fuels in the future. At the same time, despite the large number of articles on the intensification of both dark fermentation and anaerobic bioconversion in general, the operating costs of the proposed intensification methods are not well covered in the literature. The goal of the work was to estimate the conversion coefficient of thermal and electrical energy spent on the functioning of the process of dark fermentation of various organic wastes into the energy of produced hydrogen. A block diagram of the energy flows of the dark fermentation system and the structure of the energy consumption of the system were developed. The obtained literature and experimental data suggest that the conversion coefficient of energy into biohydrogen in the process of dark fermentation is less than 1, so to obtain 1 kWh of hydrogen it is necessary to expend more than 1 kWh of energy. At the same time, the use of a vortex layer apparatus for dark fermentation of the food waste model made it possible to increase the energy output of the process by more than 7 times, thereby bringing the values of the conversion coefficients of thermal and electrical energy closer to 1. Despite the fact that the energy efficiency of most known methods for producing hydrogen is higher than the energy efficiency of dark fermentation, it is worth noting that the raw material for producing hydrogen in the dark fermentation process is organic waste, and not high-energy fuel (natural gas, methane, coal) or water in the case of electrolysis. In addition, the use of a vortex layer apparatus for pre-treatment of the dark fermentation substrate made it possible to achieve electricity conversion coefficient values 40% higher than with water electrolysis.

Elevating Sugarcane Farming: Effects of Certified Seed Adoption on Production and Income in East Java, Indonesia

The use of certified seed is essential for sugarcane agricultural intensification method, emphasizing input quality improvements. In this context, varietal validity has the potential to increase sugarcane output volumes and ensure quality variations. Therefore, this research aimed to analyze the variables affecting farmers' decisions on seed varieties, output, and revenue. The type of data used was cross-sectional with a sample of 1,763 respondents, consisting of 303 and 1,460 adopter and non-adopter farmers, respectively. Propensity score matching and logistic regression were the analysis methods used. The results showed that farmers' age, number of workers, land ownership status, extension participation, and partnerships significantly influenced the decisions in selecting seed types. Significant variations in output, gross income, total expenses, net income, and net earnings were also reported using statistical test analysis, with certified seed adopters having higher profits. In this context, young farmers should be targeted to promote the use of certified seed, provide sufficient labor support for intensive farming, ease access to land, and enhance persuasive messages about partnership benefits. Moreover, ensuring the continuity of production and distribution was important to maintain reasonable seed prices and facilitate farmers' access.

IMPROVEMENT OF THE METHODOLOGY FOR CALCULATING THE HYDRODYNAMICS OF COILED HEAT EXCHANGERS FOR CRYOGENIC PLANTS OPERATING ON THE J-T CYCLE

The widespread use of cryogenic plants operating on the J-T (Joule-Thomson) cycle is associated with low operating costs, reliability, and long service life. One of the main elements of the plant is a recuperative heat exchanger made in the form of a single- or multi-layer coiled heat exchange surface. The ability to compensate for temperature and mechanical stresses due to the twisted design ensures long-term and trouble-free operation of the heat exchange equipment. The importance of determining the characteristics of the hydrodynamics of the flow of liquids or gases is primarily associated with a conscious choice of methods for solving heat and mass transfer problems, the use of certain methods of process intensification, and optimization of equipment design. The purpose of creating efficient equipment is to determine the maximum heat transfer rate at moderate values of hydraulic resistance. The analysis of known empirical dependencies does not provide a definitive answer regarding the development of a generalized methodology for calculating Hampson-type microheat exchangers used in cryogenic installations. The aim of this work is to improve the methodology for calculating the hydrodynamics of coiled heat exchangers by modifying the calculated correlations. This is possible by introducing appropriate corrections to them that take into account the influence of the geometric characteristics of the tube bundle on its resistance. The experimental study of hydrodynamic processes during forced gas convection in a coiled heat exchanger made it possible to establish the dependence of the Euler number Eu on the main geometric characteristics of the heat exchanger: the relative coil pitch, the gap between the heat exchanger tube and the outer and inner surfaces of the body. Based on the research results, the corrections in the dimensionless form eкр and eз, which are used to perform variational calculations of the structures of coiled heat exchangers located in annular channels, were determined in order to optimize their geometric characteristics. Bibl. 19, Fig. 5.

Reviewing twenty years of patents on ultrasonic-assisted pectin extraction from food and food waste

A growing number of alternative agro-industrial waste sources are being considered as possible sources of pectin because of the growing market demand. Pectin's multifunctionality stems from the nature of its molecule, which varies in its chemical structures, physicochemical characteristics, and possible uses based on the extraction methods and sources used. Green methods utilizing microwaves and ultrasound are becoming more popular, in addition to the traditional extraction of pectin, which relies on the use of acids and/or chelators. As a result, this review focuses on patents related to the extraction of pectin from food and food waste using ultrasound assisted technologies. The following patent databases were searched using International Patent Classification (IPC) codes and relevant keywords: PatFT-AppFT, Espace Patent Search, Information Retrieval System, Eurasian Patent Office Search, and Patentscope. Based on the analysis findings, which cover the years 2003 to 2023, 54 pertinent documents—the majority of which were issued in China—were chosen and categorized into multiple groups based on their objectives, methods for extraction intensification, and raw materials. According to the data, 2017 had the greatest number of patent registrations in the industry.

IMPROVING THE PLANTS EFFICIENCY OF THERMAL INCINERATION HOUSEHOLD WASTE BY RECOVERING WASTE HEAT

The work is devoted to research on the creation of recovery exchanger for waste heat exhaust gases of household waste incineration plants. The purpose of the work is to develop a technical solution for the heat recovery exchanger of waste incineration plants (WIP) and determine its thermal efficiency indicators. The main objectives of the study were to analysis of the modern experience of using the WIP and establish requirements for the creation of a exhaust gas heat recovery exchanger, develop a new technical solution for the heat recovery exchanger, and determine the change patterns in its main thermal indicators in different operating modes of the WIP. The known methods of thermal calculation of heat exchangers and the results of previous studies on the development and implementation of heat recovery equipment operating on dusty gases were used. The results of work on the creation of a new technical solution for an air-heating heat recovery exchanger with the ability to clean working surfaces from dust deposits are presented. The heat exchange surface of the heat recovery exchanger is composed of steel panels formed by tubes with membranes. The tubes applied have circular flow turbulizators on their internal surfaces. Turbulizators provide heat transfer intensification by 1.4 to 1.8 times with a moderate increase in aerodynamic resistance compared to other methods of heat transfer intensification. The regularities of changes in the main indicators of the heat recovery unit in different operating modes during the year in the practical range of changes in its input parameters were established. The research results show that, depending on the initial temperatures of gases and air, the excess air ratio in exhaust gases and the dust level of the working surface, the heat recovery exchanger provides heating capacity of 72-263 kW; cooling of exhaust gases to a temperature of 107-245 °C; heating of air to 96-220 °C. It was also established that the deposition of dust on the heat exchange surface of the heat recovery unit under the considered conditions leads to a decrease in the heating air temperature by 1.3-1.4 times and an increase in the final exhaust gas temperature by 1.1-1.2 times. At the same time, the heating capacity of the heat recovery exchanger is reduced by half. To increase heat recovery efficiency, it is necessary to periodically clean the working surfaces of the heat recovery unit with compressed air.

A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufacture

The flexible assembly job shop scheduling problem (FAJSP) and its extensions have received increased attention. However, multi-objective FAJSP in cellular manufacture (FAJSP-CM), a real-world extension of FAJSP with important applications in the mass customization of complex products, is barely considered in most previous studies. Hence, this study first addresses the multi-objective FAJSP-CM problem via a mixed-integer linear programming model (MILP). Then, a matheuristic-based multi-objective evolutionary algorithm (MMOEA), with a matheuristic decoding method, knowledge-guided initialization and learning-based local intensification method, is presented to efficiently tackle the FAJSP-CM problem in polynomial-time. The matheuristic decoding method, which hybrids a decomposition linear programming model (D-LP) that can quickly and optimally allocate the execution times of all operations, to search for the optimal solution in a specific space. The knowledge-guided initialization is extended to get a high-quality and great-diversity initial population for accelerated convergence. Meanwhile, the learning-based local intensification method is developed to adaptively coordinate five problem-specific local search operators to enhance the exploitation ability of the MMOEA algorithm. Finally, comprehensive experiments based on 720 instances are conducted to evaluate the proposed MILP model and MMOEA algorithm. The results of the first experiments illustrate the MILP model can obtain the Pareto solutions of small-scale instances. The remaining experiments demonstrate that the proposed MMOEA algorithm outperforms its competitors by 0.21 and 0.72 in hypervolume ratio and coverage indictors, along with approximately a 25 % improvement in success rate.

Design of the intensification method with the help of FracCADE software

The object of research in the work is the FracCADE software, with which it is possible to simulate the process of hydraulic fracturing and well field, on which the intensification method is designed. This hydraulic fracturing simulator was developed by Schlumberger Ltd. based on proven physical principles of hydraulic fracturing to optimize the treatment process and proven in practice. The system includes a range of hydraulic fracturing models, from 2D models to extensive 3D simulations with lateral communication. It includes a number of complementary modules for fracturing fluid and proppant optimization, injection scheduling, real-time monitoring, pressure equalization, production forecasting and economic evaluation. Some models allow simulating the geometry of the fracture, solving proppant concentration problems, and simulating possible shielding due to proppant covering the fracture or the dehydration process. Hydraulic fracturing remains one of the main engineering tools for increasing the productivity of wells. The effect is achieved due to: – creation of a conductive channel (fracture) through the damaged (contaminated) zone around the well, in order to penetrate beyond its boundaries; – spreading of the channel (fracture) in the formation to a considerable depth in order to further increase the productivity of the well; – creation of a channel (fracture), which would allow changing, influencing the fluid flow in the formation. In the latter case, fracturing really becomes an effective tool that allows to manage the operation of the reservoir (in particular, change its filtering characteristics) and implement long-term strategic development programs. The concept of hydraulic fracturing is quite simple. In general, for relatively simple geology, the physical foundations of fracturing theory are fairly well developed and tested. For the most part, the difficulties boil down to two problems: the real geological conditions and the complex multidisciplinary nature of the fracturing process itself. The process of designing fracturing in order to achieve a certain result is closely related to rock mechanics (which affects the geometric parameters of the fracture), fluid hydromechanics (in which the tasks of controlling the flow of the working fluid and placing the proppant in the fracture are solved) and chemistry, which determines the behavior of materials, which are used during hydraulic fracturing. Moreover, the hydraulic fracturing project must take into account the physical limitations imposed by the specifics of the real deposit and well. In addition, to achieve the desired results, the fracturing operation must be carried out in strict accordance with the calculations (that is, a complete cycle in which each operation plays its role).

Estimating Impact of Conventional and System of Rice Intensification (SRI) Methods of Rice Production Management on Sustainable Livelihood Generation in the Context of Climate Change in Maharashtra, India: A Factor Analysis

The global agricultural community has been preparing to face the imminent threat posed by climate change as projections by scientific communities complement the fact that food production will be affected adversely in the near future. The Indian subcontinent has not been explicit about the effects of natural disasters like floods and cyclones caused due to climatic changes. The aberrant weather patterns along with the inconsistent output of monsoon create unprecedented challenges for the rice-dominated farming system to thrive. It directly impacts the livelihood of the farmers making them economically vulnerable. Thus, it has become necessary for the research community to explore different causal dimensions related to rice production and suggest remedies for the constantly changing agroecosystem. This study aimed to investigate different indicators of impact on sustainable livelihood generation through rice production management in light of climate change in both conventional as well as SRI methods of rice production. An ex post facto research design was adopted for conducting the study. Purposive sampling was used to select the state, district, and talukas keeping in view the backwardness and agricultural status of the area of the study. Using a simple random sampling method, two hundred (200) respondents were selected from two talukas of the Bhandara district of Maharashtra. In case of results found in conventional method of rice production, the variables, Water management, Farm size, Education, Irrigation index%, Selling% and Risk orientation have contributed 9.996 per cent of variance and clubbed into Factor 1. On the other hand, in the case of SRI method, Factor 1 has the following variables i.e., Farm size, Family income primary, Education, Primary occupation, Mass media exposure, Family education status and Sowing time which has contributed 9.54 per cent of variance and has been renamed as ‘Family capability’.

SELECTION OF THE OPTIMAL METHOD OF INTENSIFICATION AND STABILIZATION OF OIL PRODUCTION IN THE FIELDS OF WESTERN KAZAKHSTAN

The article discusses research aimed at determining the effectiveness of measures to intensify oil production in the fields of Western Kazakhstan. Based on the results obtained, recommendations were developed for the further application of oil production intensification methods for the conditions of West Kazakhstan fields. The highest oil displacement coefficient (ODC) in the development of high-viscosity oils can be achieved using thermal production methods. To reduce viscosity, in practice, deep warming of the bottom-hole zone of the well is used, which can be carried out by electrothermal treatment of the bottom-hole zone of the formation, steam treatment of wells using downhole solid fuel heat generators, and so on. A combined heating method is proposed that allows heating the well products. Heating is provided by a solar panel all year round. In case of a decrease in solar activity, it automatically switches to a constant electric current. This method differs from others in that the solar panel continuously supplies electricity, reducing the consumption of electrical energy. In addition, the article presents the results of studies of the optimal heating temperature of the bottom-hole formation zone, potential well flow rates at this temperature and oil viscosity. Recommendations are given on the most rational way of heating the bottom-hole zone of wells in the fields of Western Kazakhstan.

A novel synergistic intensification method for CO2 absorption by metal salt and task-specific ionic liquids hybrid solvent in microchannel reactor

A novel metal salt-promoting mass transfer intensification method for CO2 absorption into task-specific ionic liquids aqueous solution was proposed. The mass transfer intensification and intrinsic mechanisms of different concentrations of metal salts (NaBF4, KBF4, KCl, and CuCl2) with task-specific ionic liquids (1-aminopropyl-3-methylimidazolium tetrafluoroborate [Apmim] [BF4]) aqueous solutions for CO2 capture process were visually investigated using a microchannel reactor. The results showed that adding metal salts could remarkably enhance the interaction between metal cations and ionic liquid anions, thereby decreasing the interaction between anions and cations within the ionic liquid molecules and promoting the chemical reaction between ionic liquid cations and CO2. Under the condition of the same salt concentration, the addition of KBF4 has more obvious enhancement for mass transfer in CO2 absorption process. The mass transfer coefficient increases as the gas-liquid phase flow rate rise under slug flow condition. In addition, based on the effects of metal salt concentration, absorbent density, and gas-liquid phase flow rate on the CO2 volumetric mass transfer coefficient kLa, a new correlation for predicting the volumetric mass transfer coefficient of CO2 absorption into the hybrid solvent in microchannel reactor was proposed and validated.

Autonomous Hydrodistillation with a Digital Twin for Efficient and Climate Neutral Manufacturing of Phytochemicals

Hydrodistillation is traditionally a green technology for the manufacturing of natural products that are volatile. As well as acknowledged process intensification methods such as microwave support for energy efficiency to move towards climate neutral operation, digital twins combined with process analytical technology for advanced process control enables reliable operation of an optimal operation point regarding lowest cost of goods, as well as lowest global warming potential equivalent. A novel process control enabled by digital twin technology has shown to reduce the ecological footprint of the extraction by up to 46.5%, while reducing the cost of extraction by 22.4%. Additionally, skilled operator time is reduced, and the sustainable plant material is utilized most efficiently. The approach is ready to apply, but broad industrialization seems to be held back by unclear business cases and lack of comprehension of decision makers. This is in drastic contrast to the political demand for climate neutrality goals and the cost pressure by worldwide completion.

Process systems engineering perspectives on eco-efficient downstream processing of volatile biochemicals from fermentation

Increasing concerns over environmental pollution, climate change and energy security are driving a necessary transition from fossil carbon sources to more sustainable alternatives. Due to lower environmental impact, biochemicals are rapidly gaining significance as a potential renewable solution, particularly of interest in Europe. In this context, process systems engineering (PSE) helps with the decision-making at multiple scales and levels, aiming for optimum use of (renewable) resources. Fermentation using waste biomass or industrial off-gases is a promising way for the production of these products. However, due to the inhibitory effects or low substrate concentrations, relatively low product concentrations can be obtained. Consequently, significant improvements in downstream processing are needed to increase the competitiveness of the overall bioprocesses. This paper supports sustainable development by providing new PSE perspectives on the purification of volatile bioproducts from dilute fermentation broths. Since purification significantly contributes to the total cost of biochemical production processes (20%–40% of the total cost), enhancing this part may substantially improve the competitiveness of the overall bioprocesses. The highly advanced downstream process offers the possibility of recovering high-purity products while enhancing the fermentation step by continuously removing inhibitory products, and recycling microorganisms with most of the present water. Besides higher productivity, the upstream process can be greatly improved by avoiding loss of biomass, enabling closed-loop operation and decreasing the need for fresh water. Applying heat pumping, heat integration and other methods of process intensification (PI) can drastically reduce energy requirements and CO2 emissions. Additionally, the opportunity to use renewable electricity instead of conventional fossil energy presents a significant step toward (green) electrification and decarbonization of the chemical industry.

A hybrid population-based algorithm for solving the Minimum Dominating Set Problem

The Minimum Dominating Sets (MDS) problem is pivotal across diverse fields like social networks and ad hoc wireless networks, representing a significant NP-complete challenge in graph theory. To tackle this, we propose a novel hybrid cuckoo search approach. While cuckoo search is renowned for its wide search space exploration, we enhance it with intensification methods and genetic crossover operators for improved performance. Comprehensive experimental evaluations against state-of-the-art techniques validate our approach's effectiveness.

Influence of cultivation techniques on productivity and quality of meadow clover

Meadow clover (red clover) is the most important fodder plant in most parts of Russia. Positive characteristics of this plant are the presence of a significant amount of reserve nutrients (crude protein, protein, nitrogenfree extractive substances) in the composition of plant tissues, which provides high fodder value. As a legume, meadow clover accumulates in the soil organically bound nitrogen, a large amount of organic mass of crop root residues, enriching the soil with nutrients and contributing to the increase of its physical and mechanical properties. The disadvantage of this crop is its short productive life. In this regard, it is necessary to intensify the cultivation methods for a short period of use in order to obtain the greatest return from the crop in the fodder and agronomic aspect. Intensification of cultivation methods means everything that contributes to the increase of plant productivity: application of mineral and organic fertilizers to improve mineral nutrition, inoculation of seeds before sowing to mobilize and activate soil microflora and productive symbiosis between plants and microbiota, use of growth regulators to optimize photosynthesis processes. The study of the influence of these intensification methods was the purpose of our research. It was found that the use of estimated doses of mineral fertilizers contributed most optimally to the processes of yield formation and final productivity of clover grass. Among all the strains of nodule bacteria studied, inoculant strain 348a was the most effective because it is speciesspecific for meadow clover. The use of growth regulators Ribav Extra and Root Super is a positive technique that provides optimal growth and development of plants during vegetation. The methods studied also had a positive effect on the seed productivity of the clover plants, increasing yield and seed quality.

Integrated business model of sustainable development for agricultural sector

Purpose. The purpose of the article is to improve the methodology of the integration process of business model to ensure environmental, social and financial results of entrepreneurial activity taking into account the interests and needs of stakeholders and to study the possibilities of implementing sustainable practices in different segments of the business model and the sustainable value created by these transformations. Results. The study highlights a number of approaches to the methodology of creating sustainable business models, which are the Business Model Canvas, the Teece Business Model, the Ecosystem Pie Model, and the Sustainable Value Creation Model. Each of the methodologies has its advantages and disadvantages, but they all have common elements that can be combined and integrated when considering industry specifics. The author used the methodology of creating sustainable value, which is formed through the implementation of new approaches to the implementation of sustainability, in particular, the methods of ecodesign, climate-smart agriculture, organic farming, biodynamic agriculture, sustainable intensification and renewable agriculture. Sustainable value is created through activities in different segments of the business model, at the same time the Business Model Canvas (BMC) is a template for mapping the transformations in each segment. The integrative business modeling approach is able to provide a detailed qualitative overview of a specific business by combining social, environmental and economic components with stakeholder theory. Therefore, taking into account the needs of a wider range of stakeholders than is provided for in the "key partners" field of the Canvas model took place through the implementation of sustainable value in the complex Ecosystem Pie Model. Scientific novelty. The scientific novelty consists in the adaptation of the methodology of transformation of traditional business models into sustainable ones for the agricultural sector, which, unlike the existing ones, allows taking into account sustainable value through new sustainable approaches that cause changes in the fields of Business Model Canvas with the subsequent transfer of their individual elements to the Ecosystem Pie Model for a systematic visual perception of both the current situation and prospects for further development for the enterprise. Practical value. The results of the research can be used by scientists, representatives of business and state institutions dealing with the issue of introducing sustainability principles into existing traditional business models, based on the needs and interests of stakeholders.

Pertumbuhan Tanaman Padi Payo Kerinci Menggunakan System of Rice Intensification (SRI)

Payo Kerinci Rice is one of the germplasms whose existence must be maintained. This rice is one of the local rice varieties, which is quite rare. Payo rice has a relatively high economic value compared to other rice varieties. This is due to the unique and fragrant taste of the rice, so it is very popular with the public. Increased growth is one of the initial stages in projecting success in rice plant productivity. The System of Rice Intensification (SRI) method is hoped to provide an alternative for farmers in cultivating Payo Kerinci rice. The research method was carried out experimentally using divided plots by comparing the SRI and Conventional methods. The growth parameters observed were plant fresh weight, plant dry weight, number of tillers, plant height, and root length. The research results show that the SRI method provides efficiency in the need for seeds in Payo Kerinci Rice cultivation. The Payo Kerinci rice plants using the SRI single seedling method grew more than the conventional method for all observed variables.