High-quality Agricultural Products Research Articles

Evaluation of Agricultural Green Development Based on Gini Coefficient and Hesitation Fuzzy Multi-Attribute Decision-Making: The Case of China

In order to systematically solve the problem of formulating agricultural green development strategies based on the four dimensions of policy green, industry green, science and technology green, and awareness green, this paper uses the method of combining the Gini coefficient with hesitation fuzzy multi-attribute decision-making to carry out research. The research shows that: (1) The three most critical factors affecting the green development of agriculture are “consumers’ awareness of purchasing green agricultural products”, “investment in the construction of rural ecological civilization” and “the number of farmers’ scientific and technological training”, and the corresponding index weights are 0.12, 0.1 and 0.1, respectively. (2) There are differences in policy, industry, science and technology, and consciousness in the green development of agriculture. The green development of policy shows an obvious upward trend. The industrial green development shows a relatively gentle upward trend. The green development of science and technology showed rapid growth from 2011 to 2017, and the growth slowed down in the following two years and showed a downward trend in 2020. The awareness of green development shows a relatively stable upward trend. (3) The green development of agriculture is jointly driven by the relevant interests of the supply side, the demand side, and the regulator, and the demand side’s requirements for high-quality agricultural products become a stronger driving force for the green development of agriculture. The change in the consciousness and thinking of agricultural product producers on the supply side has become the basis for the green development of agriculture, and the implementation of government policies has become an important guarantee for the green development of agriculture. The innovation of this paper is to build an evaluation index system including government, consumers, farmers’ awareness of multiple subjects, government policies at all levels, industrial production status, and agricultural production technology. At the same time, we build an evaluation model that can comprehensively analyze quantitative and qualitative indicators. In view of the need for a holistic analysis of the agricultural system in the study of agricultural green development, future studies will include air pollution emissions and agricultural transport services in the evaluation model to improve the scientific and universal model.

The Evolving Status of Agricultural Products in the Global Value Chain since China and Kyrgyzstan Established Diplomatic Relations

Central Asia borders China and was the first stop of China’s opening to the west. Studying the evolving status of agricultural products in the global value chain since China and Kyrgyzstan established diplomatic relations in 1992 can facilitate China’s “Belt and Road” initiative and strengthen agricultural cooperation. Based on FAOSTAT and UN Comtrade data, this paper classifies agricultural products into three categories: primary agricultural products, rough-processed agricultural products, and deep-processed industrial products. An indicator system was constructed for measuring the status of agricultural products in the global value chain. Using the results of the NET trade index, this paper analyzed the evolving status of Chinese and Kyrgyzstani agricultural products in the global value from 1995 to 2020. The results showed that the status of Chinese and Kyrgyzstani primary agricultural products has continued to decline, with Kyrgyzstan slightly better than China. The status of Chinese rough-processed agricultural products was slowly declining, while Kyrgyzstan’s status dropped sharply by 2020. China has a solid foundation in deep-processed agricultural products, while Kyrgyzstan’s status was relatively low. Suggestions for future cooperation between China and Kyrgyzstan are discussed, such as strengthening agricultural technology exchanges and cooperation, expanding trade in high-quality agricultural products, etc.

Regional-scale assessment of soil functions and resilience indicators: Accounting for change of support to estimate primary soil properties and their uncertainty

Researchers and stakeholders are increasingly interested in evaluating soil functions and their relationships with soil physical resilience to prevent and mitigate natural and anthropogenic threats. This study aims to assess the effect of changing spatial support on estimating primary soil properties that are then used to map compound indicators of soil functions. The specific objectives are to determine the epistemic uncertainty associated with the estimates and assess the impact of accounting for the change-of-support when scaling up from the point- to the block-resolution.The study area is the southern Italian region of Campania, which is renowned for its high-quality agricultural and dairy products but is increasingly subject to soil disturbance and degradation. Seven primary soil properties (sand and clay contents, oven-dry soil bulk density, calcium carbonate, rock fragment, soil organic matter, and pH) were estimated over 75-m × 75-m blocks by jointly analyzing more than 3,000 point-based soil measurements with gridded terrain attributes by using multi-collocated block cokriging. Two compound soil indicators were then assessed from the maps of these soil properties: 1) the soil organic carbon stock (SOCS) in the entire region of Campania, and 2) the recharge transit time in the Sele alluvial plain where information about the mean annual depth to groundwater is available.The change-of-support proved to affect the total variance and the assessment of the extremes in the probability distributions of the primary soil variables. Our results emphasize that negative consequences occur when the change-of-support problem, upscaling in particular, is overlooked as happens when analyzing environmental data, especially for planning purposes and in the case of environmental risk assessment.

Factors Influencing the Chance of Inheriting the Family Farming Career among Heirs in the Upper Northern Region of Thailand in the Crisis of Farming Labor Decline

The aging society of farmers and lack of motivation to pursue a farming career among farmers’ young heirs could induce a severe labor shortage crisis in the farming sector in Thailand in the near future, especially in the upper northern region, which has been officially declared as the base of the organic agricultural production of the country. The main problem is the decision of farmers’ heirs to inherit or not inherit the farming career of their families. The relevant factors and their effects on the decision must be investigated and analyzed. A set of descriptive statistical tools were used to analyze the significance of each factor. A prediction model based on logistic regression was applied to analyze how sensitive of each factor is to the decision to inherit the family farming career. The discovered results could help the federal organization to plan and establish an appropriate strategy in order to cope with the crisis. Here, there are 519 surveyed samples referring to farmers’ heirs from five provinces in the upper northern region, which are Chiang Mai, Chiang Rai, Nan, Lamphun, and Mae Hong Son. The data were collected using a questionnaire. The following 10 relevant factors were found to have direct impacts on the decision to inherit the farming career: gender, increased age, marital status, increased yearly income, the chance to obtain advice from the Federal Department of Agricultural Extension, attitudes towards the farming career, an increase in the land size for farming per family, increase in the land size for farming in the rural area, the variety of agricultural products produced by the family, and an increased set of farming equipment and tools possessed by the family. However, an increase in the number of new family members could lead to unwillingness to inherit the farming career. All these factors in both the willing and unwilling groups had a statistical significance at the level of 0.05. Since the sample size of the willing group was considerably larger than the sample size of the unwilling group, a technique of minority oversampling was adopted to alleviate the problem of the imbalanced datasets. The classification accuracy obtained was 77.56. In addition to the federal planning and strategies applied to ease the crisis, the factors discovered in this study can be used as a stimulus for persuading and stimulating the young generation to inherit the farming career or become a skillful as well as knowledgeable professional farmer capable of producing high-quality agricultural products for the upper northern region of Thailand.

КОНФІГУРАЦІЯ ЦІННОСТЕЙ РЕСУРСНОГО ПОТЕНЦІАЛУ РОЗВИТКУ СІЛЬСЬКИХ ТЕРИТОРІЙ

The article is devoted to revealing the values of the resource potential of rural areas and the formation of configurations for their effective economic use. Rural areas are traditionally the basis and source of resource potential formation. Traditionally, rural areas not only provide industrial areas with food and raw materials, but are also a source of human resources and initial capital accumulation. In recent years, the role and value of the resource potential of rural areas has been steadily growing. The article highlights three levels of configuration of values of the resource potential of rural areas: ecological values, socio-cultural values, community values. For the development of the resource potential of rural areas, ecological values are one of the most important resources. Environmental protection has become the basis of the policy of implementing an ecological (green) economy, and the values of the resource potential of rural areas are recognized as the most important public goods. The list of socio-cultural factors includes special, high-quality agricultural products, local cuisine, folk music, minority languages, anthropogenic environment, arts and crafts, etc. Thanks to these factors, the available resource potential of these territories is growing. The values of the community are also often considered as the values of the resource potential of rural areas. Social networks, family relationships, mutual trust and understanding are important to all human communities, regardless of where they live. In fact, community values are closely related to human resources, and their absence in certain areas can seriously limit the possibilities of rural areas. The given values of the resource potential of rural areas are quite different. They can bring various advantages and opportunities for the development of rural areas. For the perspective of harmonious development of rural areas, it is necessary to take into account, use and consolidate as many different values of the resource potential of rural areas as possible.

ИСТОЧНИКИ ДОЛГОСРОЧНЫХ ИНВЕСТИЦИЙ В АПК В УСЛОВИЯХ НЕСТАБИЛЬНОСТИ

The most important system-forming sector of the economy is the agro-industrial complex, which ensures the food security of the state, and also combines production, processing, delivery of agricultural products to end consumers, and influences the sustainability of the functioning of all its participants. The socio-economic stability and food security of the state depend on the level of development of the country’s agro-industrial complex. Today the state strives to bring the domestic agro-industrial complex to a higher level, to make it highly efficient, technologically advanced and competitive. The main task is to increase the reliability of supplying the country with high-quality agricultural products. The main basis for the development of agriculture is investment. Investment policy in the Russian agro-industrial sector is a priority. For many years, scientists have highlighted the importance of contributions to the agricultural sector, since it is long-term investments that contribute to the development of agricultural production based on modern technologies. The article examines the main sources of financing for agricultural sectors, the importance of investments for agriculture, and reveals the main directions of state policy in terms of ensuring the investment attractiveness of the agricultural industry.

Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches

In recent years, national economies are highly affected by crop yield predictions. By early prediction, the market price can be predicted, importing, and exporting plan can be provided, social, and economic effects of waste products can be minimized, and a program can be presented for humanitarian food aid. In addition, agricultural fields are constantly growing to generate products required. The use of machine learning (ML) methods in this sector can lead to the efficient production and high-quality agricultural products. Traditional predictive machine models were unable to find nonlinear relationships between data. Recently, there has been a revolution in prediction systems via the advancement of ML, which can be used to achieve highly accurate decision-making networks. Thus far, many strategies have been used to evaluate agricultural products, such as DeepYield, CNN-LSTM, and ConvLSTM. However, preferable prediction accuracy is required. In this study, two architectures have been proposed. The first model includes 2D-CNN, skip connections, and LSTM-Attentions. The second model comprises 3D-CNN, skip connections, and ConvLSTM Attention. The Input data given from MODIS products such as Land-Cover, Surface-Temperature, and MODIS-Land-surface from 2003 to 2018 on the county level over 1800 counties, where soybean is mainly cultivated in the USA. The proposed methods have been compared with the most recent models. Then, the results showed that the second proposed method notably outperformed the other techniques. In case of MAE, the second proposed method, DeepYield, ConvLSTM, 3DCNN, and CNN-LSTM obtained 4.3, 6.003, 6.05, 6.3, and 7.002, respectively.

PRODUCTIVITY OF MELILOT (MELILOTUS OFFICINALIS (L.)) IN THE CONDITIONS OF RICE CROP ROTATION UNDER THE KYZYLORDA REGION

In the unfavorable environmental conditions of the Kyzylorda region, associated primarily with water scarcity, salinization and soil degradation, measures are needed for the cultivation of agricultural land and reproduction of soil fertility, associated with phyto-reclamation, the complex use of organic and mineral fertilizers, cultivation and introduction of salt-resistant crops, in particular legumes of perennial grasses, which, undoubtedly, it will become the basis for optimal functioning of agroecosystems, stable development of crop production diversification in order to obtain high-quality agricultural products. Melilotus, being an excellent pasture legume plant for restoring vegetation cover of saline soils, will make it possible to obtain high yields of off-season pasture production in territories that are currently unproductive.The article presents the results of studies to determine the effect of organomineral fertilizers on the yield and productivity elements of the clover. It was found that of the various studied norms of organomineral fertilizers, applying phosphorus fertilizers at a dose of P60 is the most effective, providing a stable and reliable increase in crop productivity by 53.5%. And the introduction of organomineral fertilizer "manure 15 t / ha + P60", where the highest yield of hay was 87.7 c / ha, the authors consider it ineffective, since the yield difference between them (2.2 c / ha) is insignificant, which is lower than the value of LSD05 = 4.7 c / ha. Variants of phosphorus fertilizers and a combination of manure of 15 t/ha with P60 had a significant impact on the quality and nutritional value of the melilot feed, where the protein content in the 1st year of the melilot life increased to 280.2 and 302.4 kg/ha, and in the 2nd year of life to 591.9 and 608.4 kg/ha.

Additional intellect in the technological processes of agro-industrial production

Purpose. To increase the efficiency of decision-making by the operator of mechanized technological processes of agro-industrial production. Methods. Analysis of the possibilities of increasing the efficiency of agro-industrial production through the formation of intellectual proposals by appropriate technical means. Synthesis of the general structure of the neuro-like network of additional intelligence of operational management of agricultural technological processes and the principles of formation of the algorithm of its action. Results. Model of organization of additional technical intelligence for the operator of the technological process of agro-industrial production. Principles of constructing an algorithm for the automatic formation of the recommended action of the operator of the agrotechnological process based on the restorative knowledge base. Conclusions. A significant increase in the production of high-quality agricultural products per unit of cultivated area with a decrease in energy costs and technological materials is possible with the introduction of additional technical intelligence for the operational management of agricultural technological processes. The level of additional technical intelligence in the control systems of technological processes of agricultural production will be determined by the level of formation of recovery databases and knowledge bases to ensure it. Keywords: technological operations, machine-tractor unit, additional technical intelligence, knowledge bases, databases, algorithm, operational control, efficiency.

Quality Inspection Method of Agricultural Products Based on Image Processing

Farmers should provide high-quality agricultural products and companies should receive high-quality agricultural products, which is the purpose and pursuit of the business model of "companies plus farmers". In order to increase the stability of the cooperation mode between companies and farmers, it is necessary to detect the quality of agricultural products accurately, objectively and efficiently. Therefore, this article studies the quality inspection method of agricultural products based on image processing. Firstly, the traditional threshold calculation method and threshold function are improved to obtain more ideal denoising effect of agricultural products images. Aiming at the problem that the traditional image processing model cannot obtain fine-grained feature information of image objects, a multi-level feature dependence extraction network is constructed, and the structure and working principle of the network model are introduced in detail. Experimental results verify the effectiveness of the proposed algorithm and model for agricultural product quality inspection.

Local Practice of Intelligent Innovation and Sustainable Development of Environmental in NCUT of Taiwan

The purpose of this project is to assist local fruit farmers to increase output value through innovative development, build a distribution network for agricultural products, and increase farmers' income. In the technology of increasing agricultural output value, NCUT's professional team applies smart agricultural technology to monitor fruit trees to prevent pests and diseases, maintain the healthy growth and yield of fruit trees, and solve the problem of lack of labor in farmland. The NCUT team practices strategic marketing and business models to guide fruit farmers to promote local creation and enhance local cultural characteristics. This project assists in the implementation of new quality-guaranteed and value-added technologies, promotes high-quality agricultural products across the country and improves local tourism marketing, and activates agricultural product promotion activities to achieve mutual support between industry and academia. In addition, in response to the 50th anniversary of the World Earth Day, NCUT held a tree planting to save the earth to implement the concept of sustainable environmental development. President Chen, faculty and students planted 500 Cinnamomum camphor seedlings on the NCUT campus in response to the UN Climate Change Framework Convention.Keyword: Environmental Protection, Local Practice, Intelligent Innovation, Intelligent Agricultural Technology, Sustainable Development

The Use of Fermented Plant Biomass in Pigs Feeding

The demand for animal-based food production is increasing mainly due to the rapid growth of the human population. The effective production of high-quality agricultural products promotes and protects the natural environment, human health, and animal welfare. Sustainable processing involves minimizing the waste stream. One way to use agricultural plant-based waste, which is often rich in bioactive substances, is to produce fermented feed in accordance with the principles of sustainable development. Corn, yellow lupins, and narrow-leaved lupins are rich in nutrients, and are suitable for fermentation and use in pig feed. They are also safe for weaned piglets. Used as a feed additive, fermented plant biomass has a positive effect on the health of pigs, increasing their weight and improving the taste and appearance of the meat. The fermentation of plant biomass reduces antinutritional substances that are abundant in feed components. It also improves the digestibility of the silage and the composition of the pig’s intestinal microflora.

Cultivation of commercial carp in fisheries LLC “Mykolaivska RMS” with use in its feeding feeds of the trademark “Reucher AQUA fish”

The question of the effectiveness of domestic extruded compound feed in feeding carp fish was studied - as one of the methods of complex intensification of commercial fish production technology in the conditions of an individual fishery. The importance of studying this issue is dictated by the harsh realities of today, which are caused by the global trends of growing deficits in food products, among which a large share is occupied by fish and fishery products. The increase in demand for high-quality agricultural products and their prices is due to the crisis phenomena in the world economy, caused to some extent by long-term quarantine restrictions on all continents of the planet and the war in Ukraine. The purpose of the work was to study the technological processes of feeding in the cultivation of commercial carp and search for optimal methods for their improvement. To achieve this goal, the following tasks were performed: chemical and hydrobiological parameters in pond water were investigated; linear growth rate, weight growth rate, and carp fattening rate were analyzed; the fishery and economic indicators of the farm “Mykolaivska RMS” were analyzed. In two experimental ponds of the farm, they studied the peculiarities of growing carp fish when feeding them with domestic granulated compound feed with an optimal ratio of nutrients and biologically active substances while systematically determining the hydrochemical and temperature regimes of the experimental ponds, studying the morphometric indicators of two-year-old carp, calculating the fish productivity of the ponds of the farm and economic efficiency use of Reucher Aqua “Carp” feed. The obtained results confirm the effectiveness of using dry water-resistant extruded feed for feeding carp fish, which is manufactured according to modern technologies: it does not decompose in water for a long time. Therefore it does not change its quality and color; balanced in terms of the primary nutrients and biologically active substances, which positively affects the growth and development of fish, quality, and taste indicators of their meat. The use of this feed in a complex of intensification measures to improve technological processes in fish farming will allow obtaining a significant production and economic effect.

Role of Digital Empowerment in Developing Farmers’ Green Production by Agro-Tourism Integration in Xichong, Sichuan

Minimal participation in green agricultural development may be achieved via the conventional integration of agriculture and tourism, which has a minimal impact on farmers’ green output. New traits have emerged as a result of agro-tourism integration with digital empowerment. It was shown that agro-tourism integration with digital empowerment had a stronger impact on farmers’ green output than traditional agro-tourism integration, based on the construction of the dynamic information game model and the case of Xichong, Sichuan. The integration of agriculture and tourism from the perspective of digital empowerment is characterized by “data traceability” and “information diffusion”, which restrains opportunistic farmer impersonation. The feature of “knowledge sharing” promotes the progress of agricultural technology, reduces the cost of green production and increases the probability of farmers producing high-quality agricultural products. The “information matching” feature promotes the symmetry of quality information, and production and sales information at both ends of supply and demand, and raises the prices of high-quality agricultural products. The latter two features jointly enhance the willingness of honest farmers to produce green items by reducing the cost of green production and increasing the prices of high-quality agricultural products. From the perspective of digital empowerment, the integration of agriculture and tourism can further promote farmers’ green production by effectively suppressing opportunistic farmers’ fake behavior and promoting honest farmers’ green production to a greater extent.

Irish dairy and drystock farmers’ attitudes and perceptions to planting trees and adopting agroforestry practices on their land

Due to the intensification of agriculture and transition to monoculture plantations, vast areas of native woodland have been lost from the Irish landscape. As these trees gradually vanished from agricultural land, the use of traditional, ancient agroforestry practices dwindled. Currently, forestry cover in Ireland is 25% lower than the European average, with the rate of afforestation remaining critically low. Agroforestry has been cited as a means to increase forestry cover in Ireland while continuing to produce viable high quality agricultural products on the same parcel of land. However, even with a range of afforestation schemes available, farmers exhibit an evident reluctance to adopt agroforestry. This research aimed to examine the main attitudes and perceptions of Irish dairy and drystock farmers to planting trees on their land and adopting agroforestry practices. The majority of farmers included within the dataset exhibited a positive attitude towards trees on their farms, with the main negative behavioural beliefs relating to impacts on pasture. Family and Teagasc (The Irish Agriculture and Food Development Authority) are the highest cited influential bodies while the majority of farmers exhibit high perceived behavioural control. Intention rates to plant trees are high, albeit mainly on marginal areas of the farm. Agroforestry knowledge is low in Ireland with the word itself eliciting negative responses amongst the farming community. The results provide a comprehensive understanding of the main attitudes, influential bodies and barriers that affect agroforestry uptake in Ireland.

INCREASING EFFICIENCY OF SOIL BIOREMEDIATION

The intensification of agricultural production and processing industries, the use of powerful tractors and harvesters, and the increase in the intensity of road cargo transportation lead to an increase in waste from economic activities and an increase in the anthropogenic load on the environment. Human-made accidents exacerbate the problems of the stability of natural ecosystems. Dangerous substances get into the soil and accumulate in it in the form of various toxicants. This situation poses a threat to all living organisms. One of the ways to solve the urgent problems of environmental safety and the production of high-quality agricultural products is the use of bioremediation technologies for soil purification. The paper aims to increase the efficiency of soil bioremediation technology by improving the technical means used for the aeration of soil piles. The current aerators-mixers perform soil agitation and grinding of large soil formations while saturating the treated material with oxygen. We propose improving the stirring drum design of a semi-suspended aerator-mixer, equipping it with new knife-shaped working blades and with a screw winding that allows increasing the contact area with the processed mass and forming a pile of a given shape. The contact surface increases due to biological products sprayed by the nozzles and the fine soil fraction formed after treatment. This fact also intensifies the microbiological processes of toxicant oxidation. Based on the theoretical research and multivariate regression analysis, we obtained a regression equation. It allowed us to establish the relationship between the main factors that affect the aeration process of soil piles to a greater extent. We carried out experimental studies in the scientific laboratories of the university. Thus, we determined the rational parameters of the improved aerator-mixer of piles.

The Role of Moringa Leaf Extract as a Plant Biostimulant in Improving the Quality of Agricultural Products.

Ensuring high-quality agricultural products has become important in agriculture since society’s standard of living has risen. Meanwhile, Moringa oleifera L. leaf extract (MLE) has been used as a plant biostimulant to improve product quality. The effectiveness of MLE is associated with its beneficial components, consisting of nutrients, phytohormones, secondary metabolites, amino acids, and bioactive compounds. Previous studies have been carried out to find the effects of MLE application on the quality of different crops, including basil, kale, spinach, maize, radish, brinjal, pepper, tomato, grape, strawberry, and more. The results are generally positive concerning physical, nutritional, and chemical qualities. This review comprises recent findings regarding MLE application as a plant biostimulant to increase quality attributes, with its underlying mechanism.

Research on the Purchase Intention and Influencing Factors of Brand ecological Agricultural Products

Branding ecological agricultural products can not only meet consumers' demand for high-quality agricultural products, but also an effective way to promote agricultural and rural economic development and achieve sustainable utilization of resources. First, analyze the development and consumption status of brand ecological agricultural products. Secondly, through the analysis of the product cognition, product quality, brand building and consumer purchase intention of the brand ecological agricultural products. Then it is found that: consumer income level, education level, price of brand ecological agricultural products and consumer awareness are important influencing factors of consumers' purchase intention, and the growth environment, cultural background and packaging of agricultural products themselves also have different degrees of influence; Nearly half of consumers maintain a trusting attitude towards all links of the whole industrial chain of branded ecological agricultural products; consumers' purchase intention and decision-making behavior of branded ecological agricultural products are influenced by their family's healthy consumption purpose, purchase channels and information sources. Finally, it is suggested to strengthen the cultivation of brand ecological agricultural products; formulate personalized marketing strategies; carry out various publicity activities to improve consumer awareness; strengthen market supervision; strictly control product quality; reduce production costs to meet public needs.

The use of resource-saving technologies in crop production

Crop production is one of the most important branches of agricultural production, which ensures food security and independence of the state. The primary task of farmers is to supply the population with high-quality agricultural products. Agricultural production is associated with many factors, some of which have a negative impact on its development. The transition to energy and resource-saving technologies is an essential condition for the further development and functioning of the agricultural sector. The introduction of resource-saving technologies will ensure the preservation and restoration of soil fertility and the environment, the rational use of production resources and the full realization of the agricultural potential.

Simulation of IoT-Based Temperature and Humidity Conditioning System in Screen House

Nowadays, various problems have arisen in agricultural sector. One of which is the decline in productivity of farmers' crops up to 40% which is caused by non-optimal environmental conditions during the plant growth process. This is certainly a challenge for Indonesian farmers to be able to continue in supplying the country's needs for high quality agricultural products. The challenges faced by Indonesian farmers do not only come from the environmental conditions of plant growth, but the development of Industry 4.0 technology also plays an important role in the development of agricultural sector in Indonesia. In order to adapt to these technological changes, a solution is needed in the form of an integrated agricultural equipment with Industry 4.0 technologies such as the Internet of Things (IoT). One of which is creating an IoT-based control and monitoring system that will be applied to the screen house. In this research, an IoT-based temperature and humidity conditioning system was designed in the screen house. The system design is modeled and tested through simulation on Vensim software. Based on the simulation results of system design, the screen house internal temperature can be controlled or maintained in the optimal temperature range for tomato plant growth, which is 18–24oC with an offside value of ±0.5oC. The heating capacity or heating rate required in this system is 10oC/hour. The cooling capacity or cooling rate generated to compensate the influence of external temperature and heating effect on the screen house internal temperature is 1–1.8oC/hour. The heating and cooling rate values generated in this research are still need to be converted into fan and pump PWM values to be implemented in a fan- pad evaporative cooling system.