Agricultural Problems Research Articles

KEBIJAKAN KETAHANAN PANGAN DI INDONESIA MELALUI PENDEKATAN ANALISIS BIBLIOMETRIC

The issue of food security is currently a high priority because making a country without poverty and without hunger is one of the goals of the Sustainable Development Goals (SDGs). Therefore, there needs to be a strategic policy in realizing it. This paper tries to reveal the mapping of research related to food security policy using bibliometric analysis so that it can provide an overview of best practices in addressing the issue. The method used in this research is a literature review study using bibliometric analysis using VosViewer software. The results of the study illustrate the development of food security policy research from year to year with the most issues being social society. While issues that are still rarely studied are food security policies related to land, environmental degradation, food security for households, groundwater use, and public health aspects. Furthermore, there are several policy strategies to resolve food security issues in Indonesia, namely: First, the government must make agricultural policies that encourage collaboration between stakeholders, namely the government, companies, farmers, and scientists; Second, there needs to be a policy that encourages the transformation of food technology to create food security, Third, there needs to be a policy to empower people to return to agricultural land, Fourth, there needs to be a policy to overcome agricultural land problems, and Fifth, there needs to be a policy to control food waste.

Socio-Economic and Demographic Changes in Rural Development in Eastern China — Comparative Studies

This study focuses on eastern China and samples the villages of Xinsi and Qingshan in Shandong Province to explore rural socioeconomic and demographic changes and their interaction with policies. Amid global urbanization, China’s rural population has migrated to cities on a large scale, causing challenges such as “rural emptying,” aging, environmental issues, and inadequate infrastructure. The government has implemented a number of policies aimed at modernizing agriculture, improving farmers’ welfare, and reducing the gap between urban and rural areas. The objective of the study was to assess the effectiveness of rural development policies, particularly in response to demographic and socio-economic changes, and the interaction between local policies and practices. Combining macroeconomic policy analysis, agricultural planning, land-use data, demographics, field visits and case studies, this paper compares the two models of rural development in inland and coastal areas. The study reveals that China’s rural areas are undergoing demographic shifts, with labor migration leading to “hollowing out,” while promoting diversification and compound transformation of the agricultural economy, such as the rise of non-agricultural industries and the development of rural tourism. At the policy level, China’s rural strategy has undergone an evolution, emphasizing agricultural modernization, optimization of industrial structure, and infrastructure construction, while current policy emphasizes innovation, sustainability, and inclusion, reflecting a “people-oriented” and “solving the problems of agriculture, rural areas and rural areas.” The policy effect is affected by regional differences, highlighting the configuration of China’s diverse geography, economy, and culture in the path of rural development and policy response. The cases of Xinsi and Qingshan villages show how rural communities can innovate multifunctional development models based on resource characteristics, connect with or challenge policy frameworks, and explore new avenues of development. Xinsi Village can actively promote the development of the surrounding service industry through cooperation with local enterprises, while Qingshan Village is expected to take advantage of coastal advantages to develop marine economy, rural tourism and modern agriculture, while protecting and inheriting the local culture.

Looking for Resistance to Soft Rot Disease of Potatoes Facing Environmental Hypoxia.

Plants are exposed to various stressors, including pathogens, requiring specific environmental conditions to provoke/induce plant disease. This phenomenon is called the "disease triangle" and is directly connected with a particular plant-pathogen interaction. Only a virulent pathogen interacting with a susceptible plant cultivar will lead to disease under specific environmental conditions. This may seem difficult to accomplish, but soft rot Pectobacteriaceae (SRPs) is a group virulent of pathogenic bacteria with a broad host range. Additionally, waterlogging (and, resulting from it, hypoxia), which is becoming a frequent problem in farming, is a favoring condition for this group of pathogens. Waterlogging by itself is an important source of abiotic stress for plants due to lowered gas exchange. Therefore, plants have evolved an ethylene-based system for hypoxia sensing. Plant response is coordinated by hormonal changes which induce metabolic and physiological adjustment to the environmental conditions. Wetland species such as rice (Oryza sativa L.), and bittersweet nightshade (Solanum dulcamara L.) have developed adaptations enabling them to withstand prolonged periods of decreased oxygen availability. On the other hand, potato (Solanum tuberosum L.), although able to sense and response to hypoxia, is sensitive to this environmental stress. This situation is exploited by SRPs which in response to hypoxia induce the production of virulence factors with the use of cyclic diguanylate (c-di-GMP). Potato tubers in turn reduce their defenses to preserve energy to prevent the negative effects of reactive oxygen species and acidification, making them prone to soft rot disease. To reduce the losses caused by the soft rot disease we need sensitive and reliable methods for the detection of the pathogens, to isolate infected plant material. However, due to the high prevalence of SRPs in the environment, we also need to create new potato varieties more resistant to the disease. To reach that goal, we can look to wild potatoes and other Solanum species for mechanisms of resistance to waterlogging. Potato resistance can also be aided by beneficial microorganisms which can induce the plant's natural defenses to bacterial infections but also waterlogging. However, most of the known plant-beneficial microorganisms suffer from hypoxia and can be outcompeted by plant pathogens. Therefore, it is important to look for microorganisms that can withstand hypoxia or alleviate its effects on the plant, e.g., by improving soil structure. Therefore, this review aims to present crucial elements of potato response to hypoxia and SRP infection and future outlooks for the prevention of soft rot disease considering the influence of environmental conditions.

Assessment of Environmental and Economic-Financial Feasibility of Biogas Plants for Agricultural Waste Treatment

The use of individual biogas plants can be a means of solving many energy-environmental and financial-economic problems. The article aims to assess the prerequisites and consequences of using biogas plants at the macro and micro levels to search for opportunities to reduce the cost of their installation and make them more affordable for individual farms. The need for the use of biogas plants by farms is determined by the fact that these farms have a raw material base; the growing cost of energy resources pushes them to search for new sources of profit. At the micro level, the costs of biogas plants in the conditions of companies and individual farms in the Slovak Republic are evaluated. At the macro level, the aggravation of energy and agricultural problems and the need to transition to green technologies require a comprehensive approach to their solution. The article investigated the cost of purchasing and operating biogas plants based on a private company’s data. It assessed the cost of the construction of a biogas plant and more. The analysis of biogas plant operation results showed that its purchase and use by a farm can be financially unprofitable but bring significant benefits in the energy, environmental, and social dimensions.

Совершенствование процесса принятия управленческих решений в сельском хозяйстве с применением систем искусственного интеллекта

Abstract. The problem of the quality of managerial decisions is one of the most acute problems of agriculture. Their quality can be improved with the use of digital technologies, including the use of artificial intelligence (AI) systems. The purpose of the study is to clarify the main stages of managerial decision-making, taking into account the use of AI systems. The scientific novelty lies in the development of a structural model for making a managerial decision, taking into account the use of AI systems, the main components of this process are identified. The research methods were the analysis of publications in the WoS scientific citation network on the topics “agriculture” and “artificial intelligence”, as well as the abstract-logical method in the analysis of the main stages of making a managerial decision. The results of the study were the determination of the composition and content of the stages of the procedural decision invariant, taking into account the use of artificial intelligence systems. The use of artificial intelligence systems allows diagnosing the occurrence of problems in crop production, animal husbandry, and technical systems at an early stage. Data collection and analysis in the process of making a managerial decision using AI systems includes direct data collection using sensors, cameras, scanners, etc., their cleaning and preliminary analysis, exploratory and statistical analysis, data modeling and interpretation of results. The use of AI systems will make it possible to operate with large data sets from agricultural production facilities, which will reduce uncertainty in making managerial decisions. The analysis of alternatives and the development of a management decision using AI systems turns off the forecasting of agricultural development indicators in a given system of constraints, the generation of alternative solutions and the choice of the optimal alternative, the acceptance or ignoring of the proposed alternatives. AI systems can be used to automate and optimize the process of implementing management decisions, monitoring and controlling management decisions. The use of AI systems to automate management decision-making processes in agriculture can help improve management efficiency.

Application of Stochastic Programming in Agricultural and Newsvendor Problems and It's Application in Real Life

The study of making the best decision under risk management in a variety of areas of our lives is known as Stochastic Programming. We will go through two-stage Stochastic Linear Programming approaches for a variety of real-world choice issues, as well as how to solve them. We will achieve this by constructing stochastic linear programming models based on real-world situations like the well-known Farmer's situation and News Vendors problems. The influence of pricing, Stochastic Integer Linear Programming problem, second stage Stochastic Integer Linear Programming problem, first stage Stochastic Binary Linear Programming problem, risk aversion problem, and continuous function for random variables based on two-stage SLP with the aid of Farmer's problem will all be examined. We will address the Newsvendor’s problem with Deterministic Equivalent Stochastic Linear Programming, an extension of Deterministic Stochastic Linear Programming for risk aversion with a high number of decision variables and restrictions, utilizing the two-stage Stochastic Linear Programming approach once more. Hand calculation is a challenging way to acquire the solution to the problems. As a result, we will use the programming language AMPL to design computer solutions for tackling both farmer and newsvendor difficulties. We will also utilize MATLAB to create graphs for the farmer's problem's continuous function. Dhaka Univ. J. Sci. 72(1): 30-45, 2024 (January)

Countermeasures for the Planning and Construction of Villages and Towns in the View of Rural Revitalization

In recent years, the state has put rural revitalization in an important position of the national development strategy, emphasizing that rural revitalization must be realized in order to solve the problems of agriculture, rural areas and farmers and improve rural economic income. Under the rural revitalization strategy, in order to restore the overall vitality of villages and towns, we must give priority to the development of agricultural and rural areas. However, due to the restriction of the dual structure of urban and rural areas, the planning and construction of villages and towns are faced with many problems, such as the absence of the main body of village planning and construction management, the crisis of abandoning cultivated land for other purposes, poor living conditions and even destruction. This paper emphasizes practical village planning, pays attention to the construction of ecological civilization and the principle of construction and development according to local conditions, constructs a diversified development space, and provides effective assistance for the implementation of the strategy of rural revitalization, as well as the development of practical rural planning.

An innovative approach for analysing and evaluating enteric diseases in poultry farm

Volatile organic compounds (VOCs) produced by pathogens, host-pathogen interactions and biochemical pathways are present everywhere such as in blood, breath, faeces, sweat, skin, urine, and vaginal fluids. Their qualitative and quantitative composition is influenced by pathophysiological responses to infections, toxins, or endogenous metabolic pathway perturbations. In poultry, VOCs analysis has been explored to evaluate air quality in sheds, but they have never been monitored to determine if birds were affected by enteric diseases. The enteric disorders represent one of the most important groups of diseases that affect poultry and cause illness, mortality, and economic losses. For this reason, monitoring the health status of broilers and the early detection of any health problem is of great importance in intensive farming, especially nowadays that antibiotics are banned. Precision Livestock Farming, through the combination of cheap technologies and specific algorithms, can provide valuable information for farmers starting from the huge amount of data collected in real time at farm level. This study was aimed to the application of a PLF diagnostic tool, sensible to the variation of volatile organic compounds, to promptly recognize enteric problems recognize enteric problems (as coccidiosis and necrotic enteritis) in intensive farming, supporting veterinarians and enabling specific treatments in case of disease.

Fabrication of a straw-based degradable mulch film with magnetically controlled-release glyphosate

To solve three main problems in agriculture (plastic mulch pollution, difficult straw recycling, and low utilization efficiency of pesticides), a multifunctional mulch film (MF) was fabricated. In this study, corn straw was mixed with xanthan gum, glyphosate (Gly), Fe3O4, and MIL-100(Fe) to obtain a MF named as SMFG with magnetically controlled-release Gly. To improve the hydrophobicity and stability of SMFG, the surface was coated by amino silicone oil (ASO) to get SMFG@ASO. SMFG@ASO had well insulation and moisture retention properties close to polyethylene MF. Meanwhile, the weight loss ratio of SMFG@ASO increased with time and could reach 59% underground in 120 d, indicating the good biodegradation behavior of SMFG@ASO. Importantly, pot experiment showed that SMFG@ASO could significantly promote growth of crop and inhibit grass. Besides, earthworm experiment illustrated that SMFG@ASO possessed a high biosafety and could increase the relative abundance of beneficial bacteria (Flavobacterium) from 0.08 to 0.21 and soil quality. Thus, this study provides a new method to prepare a straw-based degradable MF for resolving the problems of plastic pollution and waste of straw resources simultaneously to realize the integration of herbicide and MF.

Multiple Drug Resistant Streptococcus Strains-An Actual Problem in Pig Farms in Western Romania.

Streptococci are a type of bacteria that can cause severe illnesses in humans and animals. Some typical species like S. suis, or atypical species like S. porcinus and, S. dysgalactiae subsp. dysgalactiae, can cause infections like septicemia, meningitis, endocarditis, arthritis, and septic shock. S. suis is considered a newly emerging zoonotic pathogen. Although human streptococcal infection outbreaks are rare, it is appropriate to review the main streptococcal species isolated in pig farms in western Romania, due to the high degree of antibiotic resistance among most isolates commonly used in human treatment. This study examines the resistance patterns of these isolates over 5 years (2018-2023). The research investigated the antimicrobial susceptibility of 267 strains of Streptococcus spp. isolated from pigs, primarily from lung and brain tissues. This report is the first to describe the distribution of atypical Streptococcus species (SDSE, S. porcinus, S. hyovaginalis, S. pluranimalium, S. canis) in Romania, as well as the antibiotic resistance profile of these potentially zoonotic species. It is important to re-evaluate and consider the high rates of resistance of S. suis to tetracyclines, lincosamides, macrolides, and aminoglycosides, as well as the high recovery rates of S. suis from the lungs and brain when treating swine diseases.

Efficacy and effects of three desiccation intervals on biofouling and Eastern oysters (Crassostrea virginica) at three commercial oyster farms in the Chesapeake Bay, MD

Oyster aquaculture is a growing industry both globally and nationally. Productive coastal waters support high-density containerized culture of oysters, but also sustain many other macrofaunal species which can settle on oysters and cage materials (biofouling), causing problems for oyster farms. Desiccation, or periodic air drying, of farm infrastructure and oysters has been used to control colonization and growth of biofouling organisms on oyster farms worldwide, but the minimum necessary interval of desiccation has yet to be thoroughly assessed. Given the known stresses to oysters associated with periods of emersion, an understanding of the effects of different weekly desiccation intervals is needed. This study investigated the use of desiccation in controlling biofouling and the associated impacts to oyster growth and mortality at three oyster farms within Maryland's portion of the Chesapeake Bay, including one low salinity site in an upper Chesapeake Bay tributary and two sites in the middle portion of the Chesapeake Bay. Three desiccation treatments were applied at each site: control (no desiccation), 8 consecutive hours of desiccation per week, and 24 consecutive hours of desiccation per week. Oysters were deployed between July–December 2018 and the percent valve coverage by individual biofouling species was monitored, along with worm abundance, oyster growth, and oyster mortality. Total biofouling was significantly greater on non-desiccated oysters but minimal differences in biofouling coverage were observed among oysters desiccated for 8 or 24 h weekly. Seven biofouling species were observed among the sites, and all except for a single macroalgal species (Ulva intestinalis) were controlled by the 8- and 24-h desiccation treatments. No clear treatment-derived differences in oyster growth or mortality were observed. Overall, results suggest desiccating weekly for either 8 or 24 consecutive hours may be a suitable biofouling management strategy for gross biofouling reduction on oyster farms.

77 years of uninterrupted agricultural research in Suceava

In 1946, by decision no. 1933 of the Ministry of Agriculture, the first agricultural research unit in the northern part of Moldova (the Suceava Experimental Agricultural Station, currently the Suceava Agricultural Research and Development Station) was established, as a necessity for the development of agriculture in Bucovina. After three years of operation in the submontane area from Ilisesti (19 km from Suceava), by decision no. 564249 of August 24 of the same ministry, the resort was transferred to Suceava. The area where the cantonment is located is individualized by specific pedoclimatic conditions, characterized by thermal restrictions, the non-uniformity of the hydrological regime — from insufficient to excessive — and by a great diversity of soil types, from soils with low fertility to those with good fertility. The consequence of this ecological diversity was, from the beginning, the need to diversify the concern related to research activity in response to solving the main problems of agriculture in the Suceava Plateau. If in the year of establishment (1946) the concerns were directed towards the cultivation of potatoes, meadows and fodder plants, over time it can be seen by following the evolution of concerns and the way of achieving the basic objectives of agricultural research, in Suceava, a continuous expansion of the problem areas addressed as well as the amplification of their complexity.

Can Foliar-Applied Omeprazole Improve the Yield, Assimilation, Recovery and Nitrogen Use Efficiency in Bean Plants?

The low efficiency of nitrogen (N) fertilizers is a frequent problem in agriculture that impacts the environment. Omeprazole (OMP) has been reported to promote N uptake and assimilation in tomato, basil, and corn. However, information about the effect of omeprazole on N assimilation, recovery, and N use efficiency parameters for bean plants is limited. Therefore, the objective of the present study was to determine the effect of foliar applications of OMP at 0, 1, 10, and 100 µM on nitrogen assimilation, growth, yield, nitrogen use efficiency parameters, and recovery percentage in green bean plants. Green bean plants cv. Strike grown in pots were used. Biomass, yield, nitrate reductase activity, photosynthetic pigments concentration, soluble amino acids and protein concentrations, total nitrogen concentration, nitrogen use efficiency parameters, and nitrogen recovery were analyzed. The results obtained indicate that the application of OMP at 1 µM increased yield and biomass, promoted N assimilation through higher NR enzyme activity, higher amino acid concentration, higher N use efficiency coefficient, and allowed a more efficient nitrogen recovery percentage.

Scientism, trust, value alignment, views of nature, and U.S. public opinion about gene drive mosquitos.

Gene drive could be a powerful tool for addressing problems of conservation, agriculture, and human health caused by insect and animal pests but is likely to be controversial as it involves the release of genetically modified organisms. This study examined the social determinants of opinion of gene drive. We asked a representative sample of the U.S. public to respond to a description of a hypothetical application of a gene-drive mosquito to the problem of malaria and examined the relationship of these responses with demographic and ideological beliefs. We found strong general approval for the use of gene-drive mosquitos to address malaria, coinciding with the concern about a possible environmental impact of modified mosquitos and that gene drives represent "too much power over nature." Among the determinants we measured, respondent acceptance of scientism and trust that scientists are advancing the public's interest were the greatest predictors of views of gene drive.

Ultrastructural study of neuronal cells and localization of ghrelin-like peptide and its receptor in the ganglia of the golden apple snail (Pomacea canaliculata)

Pomacea canaliculata is an invasive snail species causing major problems in agriculture. The snail biology was then investigated. The main objective of the present study was to investigate the nervous system of the snail. The nervous system comprises pairs of cerebral, buccal, pedal, pleural, parietal ganglia and an unpaired visceral ganglion. Most neurons were concentrated at the periphery of the ganglia. The neurons were classified into four types: NR1, NR2, NR3, and NR4. The percentages of the NR3 and NR4 in the pleural and pedal ganglia were significantly higher than those of other ganglia. Ultrastructural study revealed that nuclei of all neuronal types exhibited mostly euchromatins. Many organelles including ribosomes and endoplasmic reticulum were found in their cytoplasm. However, various mitochondria were found in the NR2 and NR3. The immunohistochemistry revealed immunoreactivity of ghrelin-like peptide in the neurons of the cerebral, pleural and pedal ganglia. However, immunoreactivity of GHS-R1a-like peptide existed only in the neurons of the pleural and pedal ganglia. The present study is the first to demonstrate the existence of ghrelin-like peptide and its receptor in P. canaliculata nervous system.

Plant disease recognition in a low data scenario using few-shot learning

Plant disease is one of the major problems in agriculture. Diseases damage plants, reduce yields and lower the quality of the produce. Traditional approaches to detecting plant diseases are usually based on visual inspection and laboratory testing, which can be expensive and time-consuming. They require trained plant pathologists as well as specialised equipment. Several studies demonstrate that artificial intelligence (AI) methods can produce promising results. However, AI methods are generally data-hungry and require large annotated datasets, and the collection and annotation of such datasets can be a limiting factor. It often appears that only a small amount of data is available for certain disease types. Whereas the performance of typical AI methods drops significantly when they are trained with inadequate data. This paper proposes a novel few-shot learning (FSL) method to detect plant diseases and alleviate the data scarcity problem. The proposed method uses as few as five images per class in the machine learning process. Our method is based on a state-of-the-art FSL pipeline called pre-training, meta-learning, and fine-tuning (PMF), integrated with a novel feature attention (FA) module; we call the overall method PMF+FA. The FA module emphasises the discriminative parts in the image and reduces the impact of complicated backgrounds and undesired objects. We used ResNet50 and Vision Transformers (ViT) as the feature learner. Two publicly available plant disease datasets were repurposed to meet the FSL requirements. We thoroughly evaluated the proposed method on the PlantDoc dataset, which contains disease samples in field environments with complex backgrounds and unwanted objects. The PMF+FA method with ViT achieved an average accuracy of 90.12% in disease recognition. The results demonstrate that the PMF+FA pipeline consistently outperforms the baseline PMF. The results also highlight that the method using ViT generates better results than ResNet50 for diagnosing complex data. ViT and ResNet50 implementations are computationally efficient, taking 1.11 and 0.57 ms on average per image to evaluate the test set respectively. The high throughput and high-quality performance with only a small training dataset indicate that the proposed technique can be used for real-time disease detection in digital farming systems.

Taiwan’s Contested Survival in an Era of Shrinking Globalization

Hitherto renowned for its economic and political development, Taiwan has lately come under a harsher spotlight as a possible victim of invasion based on an analogy to Ukraine. Yet, Taiwan is also challenged by a slew of other problems too long neglected. These environmental, industrial, agricultural, demographic, trade, and economic security problems altogether form a “polycrisis” that makes it difficult to solve one set of problems without aggravating the others, and the democratic electoral process has unfortunately so far been unable to table a comprehensive “polysolution.”

Regulation of endogenous hormone and miRNA in leaves of alfalfa (Medicago sativa L.) seedlings under drought stress by endogenous nitric oxide

BackgroundAlfalfa (Medicago sativa. L) is one of the best leguminous herbage in China and even in the world, with high nutritional and ecological value. However, one of the drawbacks of alfalfa is its sensitivity to dry conditions, which is a global agricultural problem. The objective of this study was to investigate the regulatory effects of endogenous nitric oxide (NO) on endogenous hormones and related miRNAs in alfalfa seedling leaves under drought stress. The effects of endogenous NO on endogenous hormones such as ABA, GA3, SA, and IAA in alfalfa leaves under drought stress were studied. In addition, high-throughput sequencing technology was used to identify drought-related miRNAs and endogenous NO-responsive miRNAs in alfalfa seedling leaves under drought stress.ResultBy measuring the contents of four endogenous hormones in alfalfa leaves, it was found that endogenous NO could regulate plant growth and stress resistance by inducing the metabolism levels of IAA, ABA, GA3, and SA in alfalfa, especially ABA and SA in alfalfa. In addition, small RNA sequencing technology and bioinformatics methods were used to analyze endogenous NO-responsive miRNAs under drought stress. It was found that most miRNAs were enriched in biological pathways and molecular functions related to hormones (ABA, ETH, and JA), phenylpropane metabolism, and plant stress tolerance.ConclusionIn this study, the analysis of endogenous hormone signals and miRNAs in alfalfa leaves under PEG and PEG + cPTIO conditions provided an important basis for endogenous NO to improve the drought resistance of alfalfa at the physiological and molecular levels. It has important scientific value and practical significance for endogenous NO to improve plant drought resistance.

Culture-based agricultural development model in dragen village, Jaten subdistrict, Karanganyar regency

Background: Agriculture plays an important role in a country's economic development. However, the agricultural sector often faces challenges in sustainable development. This research aims to identify the potential and factors causing agricultural problems and analyse structural transformation in Dagen Village, Karanganyar Regency. Methods: The research method used a descriptive approach with data collection through interviews and literature studies. Results: The results showed that Dagen Village has great agricultural potential, but the lack of community interest in the agricultural sector and farmers' lack of knowledge about modern agricultural techniques are the main obstacles in utilising this potential. In addition, structural transformation is also occurring in Dagen Village, where there is a shift from the traditional agricultural sector to the modern economic sector. Findings: The importance of paying attention to cultural aspects in agricultural development and structural transformation is also highlighted in this study, as culture plays a role in shaping people's mindset and behaviour towards agriculture and economic development. Conclusion: Thus, this research provides insight into the importance of integration between aspects of culture, agriculture, and economic development in the context of rural development.

МАТЕМАТИЧНЕ МОДЕЛЮВАННЯ ВПЛИВУ ОПРОМІНЕННЯ НА ПРОДУКТИВНІСТЬ ПРОЦЕСУ ВИРОЩУВАННЯ РОСЛИННОЇ ПРОДУКЦІЇ В ГІДРОПОННІЙ УСТАНОВЦІ

The actual problems of agriculture not only in Ukraine but also in other countries are to increase crop yields, increase nutritional value, quality and reduce production costs, reduce the required production area, the cost of agricultural machinery, etc. In this regard, hydroponic plants look quite promising, as they provide round-the-clock cultivation of a wide range of crops with minimal space, capital and operating costs, and a halved harvest period. The widespread introduction of hydroponic equipment and technology in Ukraine will allow for the fullest realization of the concept of small enterprises, which in this case can be created with little or no start-up capital. In addition, the use of hydroponics will allow existing enterprises of various profiles and small farms to receive additional income or valuable plant material. Hydroponics is a promising area of modern agriculture that ensures long-term cultivation of the main types of vegetables and greenery in small areas with minimal water and fertilizer consumption. This technology allows you to get a fairly large harvest of fresh vegetables within large cities, including office and residential premises. The main trends in improving this technology are expanding the range of crops grown, their yields, more efficient use of land, soil, nutrients, minerals, water, energy, and reducing the cost of finished products.. The article is devoted to the development and study of a mathematical model of the influence of irradiation on the productivity and quality of hydroponically grown products. In particular, dependencies were obtained to determine the influence of irradiation parameters on the development of lettuce, the use of which allows predicting the size and weight of the plant, forming the basis for optimizing the operating parameters of the hydroponic plant.