Temperature In House Research Articles

Design an Automatic Condenser in Swallow Bird House

This design is a system development carried out by swallow breeders in stabilizing the temperature and humidity of swallow houses. This design uses the principles of the Internet of Things (IoT), which will monitor temperature and humidity through internet media. This design aims to make a temperature and humidity control system in the swallow house automatically and find out the level of accuracy of temperature and humidity readings in the design made. This design uses a Wemos D1 Mini Board microcontroller that controls components such as DHT22 sensors, DS18B20 sensors and relays. The result of this design can control the condenser automatically, when the temperature and humidity are above the standard temperature, it will turn on the condenser automatically.

RANCANG BANGUN SISTEM KENDALI OTOMATIS DAN MONITORING SUHU DAN KELEMBAPAN PADA RUMAH BURUNG WALET BERBASIS BLYNK

Swallow's nest currently has a high economic value. Swallow's nest is made of swallow's saliva in the shape of a bowl. Swallow nests are naturally formed in caves or buildings that are quite humid with dim to dark lighting. This bird's nest is attached to the ceiling which is generally used by swallows as a place to rest and breed. This system uses ESP32 as a microcontroller that will control the mistmaker through a relay module, process and send the reading data from the BME280 sensor to the monitoring system with the blynk application. The type of mistmaker used to control environmental conditions in the swallow house is AUDAX AXH-5500. This system will maintain temperature conditions in the range of 26 - 29 ºC and humidity in the range of 80 - 90% RH. Mistmaker will be turned on if the temperature > 29 ºC or humidity < 80% RH and will be turned off when the temperature < 26 ºC or humidity above 90% RH. The test results of this study are the average temperature in the swallow house during the use of this tool is 28.17 ºC and humidity 84.24% RH.

Effects of Palm (Elaeis Guineensis) Oil on Performance, Thermotolerance, and Welfare of Broiler Chickens in Heat Stress Condition

Heat stress negatively affects the broiler chickens’ productivity and well-being. This study was carried out to assess the effect of dietary palm oil inclusion on the growth performance, thermotolerance, biochemical parameters, and welfare of broiler chickens raised in tropical climates. A total of 500 broiler chickens aged 15 days were divided into four treatments, each consisting of five replicates with 25 chickens per replicate in a randomized design. The control group was fed a standard diet without palm oil (T), and the remaining diets contained palm oil at the inclusion levels of 1% (P1), 2% (P2), and 3% (P3). During the 4 weeks of experimentation, daily temperature and relative humidity in the poultry house were measured by thermo-hygrometers, and growth performance was weekly recorded. At 45 days old, six broiler chickens were slaughtered with measurements taken for carcass compositions and intestinal length. At 42 days of age, blood samples were collected for the Triiodothyronine (T3) and Thyroxine (T4) hormones, biochemical profiles, and Heterophil: lymphocyte (H/L) ratio assessment at the Regional Center of Excellence on Avian Sciences. Gait abnormality and litter quality were assessed at 38 days of age. The results indicated that the incorporation of 1% palm oil improved the growth performance of chickens compared to other groups. Similarly, the concentrations of T4 and T3 were higher in the 1% palm oil group. Triglycerides and total protein concentrations were higher in the broiler chickens of the control group, compared to other treatment groups. The dropping weight and gait score decreased with the increasing rate of palm oil. The results suggest that palm oil can be a beneficial dietary supplement for broiler chickens, particularly under heat-stress conditions. The incorporation of 1% palm oil contributes to the improvement of growth performance and the well-being of broiler chickens in tropical climates. However, it is crucial to consider the appropriate level of palm oil inclusion, as higher levels may have adverse effects, such as increased mortality. Keywords: Energy, Feeding strategies, Heat stress, Palm oil, Welfare

Performance of a novel structural insulated panel in tropical climates: Experimental and numerical studies

This article investigates experimentally and numerically the thermal performance of a new type of structural insulated panel (SIP) termed ‘UWall’. The panel core consists of an ad-hoc waffle skeleton of Expanded Polystyrene (EPS), EPS beads mixed with cement mortar (Portland cement type I and recycled concrete aggregate), and two external water-proof cement boards. The experimental programme examined the panels in three Phases. In Phase 1, 200×200×100 mm block specimens were exposed to a temperature of 70°C for 12 hrs. It was found that the new UWall specimens had a better thermal performance (by up to 20%) over other types of walls typically used in house construction in Southeast Asia such as Mon block wall. In Phase 2, five scaled-down house units (1.5×1.5×2.8 m) were built in Thailand. Temperature and relative humidity outside/inside the units were continuously monitored for 7 days during the summer season. It was found that the new UWall has a good thermal resistance, reducing temperatures by up to 4°C compared to mon-block wall material. The house units were subsequently modelled in Abaqus® software, and the modelling approach proved accurate (within 10%) at simulating the thermal performance of the house units. UWall panels were also tested in bending to determine their structural capacity. It was found that the panels can be safely used as load-bearing walls for single-storey houses. Design charts are then proposed and used to design and build a full-scale house in Phase 3. In Phase 3, a 10×7 m full-scale single-storey house was built using the new UWall panels. Based on results from bioclimatic charts, it was found that daytime temperature and humidity in the full-scale house were deemed as uncomfortable. However, if air movement was provided, the house remained within the comfortable zone at all times. New design charts for full-scale houses with UWall are proposed to meet a desired user-comfort level. This study is expected to promote the use of SIPs in house construction in tropical climates, which in turn is envisaged to save energy and make construction more sustainable.

Analysis of microclimate temperature and relative humidity distribution of local poultry house in a subtropical area of Nigeria

The design of the ventilation system to ensure microclimate condition are optimum in poultry houses in the Nigerian context requires knowledge of the microclimate parameter distribution, which is lacking in the literature. This study investigated the patterns of temperature and RH distributions in a typical local poultry house. The specific objectives were to (i) analyse the vertical and horizontal distributions of the microclimate parameters in battery cage poultry housing and deep litter poultry housing, (ii) identify whether the distribution is homogenous or heterogeneous, and (iii) identify the data spread of parameters. An experimental intensive naturally ventilated local poultry house was used for this study. It consisted of deep litter (DL) and battery cage (BC) poultry housing systems partitioned by an air wall. Daytime, nighttime, rainy, and dry season temperature and RH distributions in the BC and DL poultry housing were analysed. Approximately 1.2 °C temperature difference was recorded between the poultry house and the ambient environment during the day and night. The temperature and RH distributions in the poultry housing were heterogeneous. Approximately 5% and 67%–73% of the daytime and nighttime temperature data, respectively, and 37%–41% of daytime RH fell within the optimum values.

Rendimiento de larvas de moscas en varias cosechas con tres proporciones de salvado de trigo y gallinaza

The aim of the research was to compare the yields of house fly larvae using different proportions of wheat bran and hens feces as larval development medium, in a randomized block experimental design with five replications in propylene containers with 3 cm of depth of substrates: A-100 % wheat bran; B- 50% wheat bran and 50% hens feces; C- 100% hens feces. Measurements of the temperature of the substrates, as well as the temperature and relative humidity of the place where the flies were developing were made every 24 hours. The larval yield per m2 and kg of substrate, (including the water used to moisten the larval media) were also registered. The temperature in the substrates ranged between 22.88 oC and 36.08 oC, always above the ambient temperature in the fly house, and relative humidity between 44 and 68%. Was used 32.91, 30.29 and 32.19 L of water per square meter for treatments A, B and C, respectively. The highest larval yield was obtained in the first harvest after six days for treatment B with 2290.59 g m2-1 y 112.07 g kg2-1. The transformation of the crude protein of the substrates by the fly larvae was between 28.0 and 37.0%. No presence of pathogenic agents (Salmonella spp., Escherichia coli, and Coccidia) was observed in the treatments, nor in the harvested larvae.

INTEGRATION OF THE OPERATION OF A HEAT AND POWER PLANT

The main motive for the accelerated development of renewable energy in Europe, the United States and many other countries is the desire of states for energy independence and environmental security. The impetus for the use of new technologies in the use of energy from non-traditional sources was two factors: the energy crisis of the early 70s and the increasing requirements for environmental protection. The experience gained by different countries in the use of heat pumps and wind power generators demonstrates the high possibilities of easily converting these types of energy into thermal energy and electricity, which can be successfully used to supply: electricity, hot water, hot air, heating in the premises of public and private households, and as well as providing various kinds of technological and domestic needs not only in different industries, but also at the enterprises of the agro-industrial complex of Ukraine. In this paper, the authors propose a developed and implemented improved automated heat and power plant for supplying: electricity, hot water, hot air and heating for private households. To solve the above problems, a scheme was developed for preheating the coolant through the use of: an electric water heater with a thermal power of 54 kW, a heat pump and a wind power generator with an electrical power of 50 kW, which produces electricity for the operation of all electrical equipment in private households and batteries of electricity and heat. The automation system allows you to control the installation without human intervention. The operation of this installation makes it possible to save organic fuel, which would be used to heat the coolant to the required temperature in a low-power boiler house.

Design And Implementation of Smart Pet House Temperature Monitoring System Based on STM32 Single-Chip Microcomputer

With the development of social economy and the acceleration of urbanization as well as the increasingly heavier burden of social competition, keeping pets has become an important pastime for more and more families which result in the improvement of the market of pet caring. In order to take better care of pets more efficiently, in this paper, the author designs a smart pet house temperature monitoring system based on STM32 single chip microcomputer with the interaction to the upper computer. The intelligent pet house temperature monitoring system chooses STM32F102C6T6 single chip microcomputer controller as the controlling core and designs several circuits to achieve each required function. The overall designed system realizes the function of pet house temperature measurement with displaying on the LED connected to the single chip and data transmission to PCs with real-time plotting through the MATLAB. Experimental results show that the temperature monitoring system can timely measure the temperature in the pet house, and prove the feasibility of the design. Consequently, the designed system quality can be guaranteed to a great extent.

Penyiram Air Otomatis Kumbung Jamur Tiram Pada Pesantren Ma. Mambaul ‘Ulum, Bengkulu Tengah

Pondok Pesantren MA. Mambaul 'Ulum, which is located in Bengkulu Tengah Regency, Bengkulu Province, has an oyster mushroom business unit to support the operational needs of the school. Maintenance, especially baglog watering on oyster mushroom house, is carried out conventionally. Through service activities, a baglog sprinkler automation system was built that works based on humidity and temperature in the mushroom house. The system utilizes electrical energy sourced from solar panels that are integrated with an automatic sprinkler system. The method used in the target audience of service (teachers and students) starts from the initial coordination, then the delivery of the material in theory and practice, followed by the installation of the system as a whole and running and testing the system. Based on the test results, it was obtained that the system can run properly according to the conditions set on the automated system. The watering automatic system active while the oyster mushroom house in non-ideal environmental condition.

Smart Temperature and Humidity Control in Pig House by Improved Three-Way K-Means

Efficiently managing temperature and humidity in a pig house is crucial for enhancing animal welfare. This research endeavors to develop an intelligent temperature and humidity control system grounded in a three-way decision and clustering algorithm. To establish and validate the effectiveness of this intelligent system, experiments were conducted to compare its performance against a naturally ventilated pig house without any control system. Additionally, comparisons were made with a threshold-based control system to evaluate the duration of temperature anomalies. The experimental findings demonstrate a substantial improvement in temperature regulation within the experimental pig house. Over a 24 h period, the minimum temperature increased by 4 °C, while the maximum temperature decreased by 8 °C, approaching the desired range. Moreover, the average air humidity decreased from 73.4% to 68.2%. In summary, this study presents a precision-driven intelligent control strategy for optimizing temperature and humidity management in pig housing facilities.

The Impact of Tropical Vernacular Courtyard on Air Temperature Reduction The Case Study of Djaduk Ferianto's House

The study of contemporary architectural work incorporating vernacular tropical design strategies is still not widely done. Architect Eko Prawoto did a lot of design exploration to provide comfort through the inclusion of natural elements and the relationship between outer and inner space in his contemporary residential work. Vernacular courtyards in buildings are one of the passive design strategies for lowering the air temperature in Djaduk Ferianto's house. This paper aims to evaluate tropical elements and the performance of air temperature reduction through visual observation and thermal environmental measurements. Visual observation is conducted by observing building elements that meet tropical design criteria and indicators that continue with a conformity analysis. Measurement of thermal environments limited in air temperature and humidity followed by descriptive, evaluative, and comparative analysis of neutral temperature and the value of air temperature reduction. The study findings are as follows: first, the main criteria of tropical design elements in Eko Prawoto's work according to the value of highly appropriate are courtyard elements, building form, roofs, and natural shades. Second, the lowest average comfortable air temperature and the longest duration of comfortable conditions are found in the courtyard room, which is 28.7°C for 17 hours per day. Third, the most significant reduction in air temperature occurred in the courtyard, with an average of 1.4°C compared to the dining room (1°C) and bedrooms (0.6°C). Recommendations for improving courtyard performance are adjusting proportions, adding a roof, placing shade plants, and raising the courtyard enclosure.

Rancang Bangun Alat Pemantau Dan Kontrol Kondisi Ruangan Green House Untuk Budidaya Tanaman Stroberi Berbasis Internet of Things (IoT)

Strawberries are horticultural crops that can grow well in subtropical regions. Strawberries require cool environmental conditions with temperatures between 17°C-20°C and humidity between 80% -90%. Cultivating strawberries in the tropics is a challenge in itself because of the temperature and humidity in this area. One way to cultivate strawberry plants in the tropics is to use a Green House. Green House is designed to maintain the temperature and humidity according to the needs of the strawberry plants. This study aims to create a system monitoring and controlling greenhouses using the internet of things. Users can monitor and control the condition of the Green House via an Android smartphone with the Blynk application. When the air temperature and humidity values are in the Green House, the system will work to readjust the temperature and humidity in the Green House. This system uses ESP32 as the control center and a DHT22 sensor to measure air temperature and humidity. Based on the results of the design and performance analysis of the tool, the accuracy of the air temperature gauge is 99.52% and the air humidity is 99.29%. The system successfully controlled the temperature and humidity in the Green House room for 23 days of testing.

Rancang Bangun Alat Pemantau Dan Kontrol Kondisi Ruangan Green House Untuk Budidaya Tanaman Stroberi Berbasis Internet of Things (IoT)

Strawberries are horticultural crops that can grow well in subtropical regions. Strawberries require cool environmental conditions with temperatures between 17°C-20°C and humidity between 80% -90%. Cultivating strawberries in the tropics is a challenge in itself because of the temperature and humidity in this area. One way to cultivate strawberry plants in the tropics is to use a Green House. Green House is designed to maintain the temperature and humidity according to the needs of the strawberry plants. This study aims to create a system monitoring and controlling greenhouses using the internet of things. Users can monitor and control the condition of the Green House via an Android smartphone with the Blynk application. When the air temperature and humidity values are in the Green House, the system will work to readjust the temperature and humidity in the Green House. This system uses ESP32 as the control center and a DHT22 sensor to measure air temperature and humidity. Based on the results of the design and performance analysis of the tool, the accuracy of the air temperature gauge is 99.52% and the air humidity is 99.29%. The system successfully controlled the temperature and humidity in the Green House room for 23 days of testing.

Vernacular Features in Rural Housing of the Aurassien massif between Traditional Practices and Bioclimatic Aspect. Case study of Ain Zaatout (Algeria)

The rural habitat in the Aures region is an excellent example on vernacular and human architecture. It reflects how inhabitants of this region responded to their requirements in an ingenious way and how local builders have succeeded to respond to challenges of climate, building materials and cultural expectations despite the particularly harsh environmental conditions of the Aures. The aim of this study is to determine the strategies used in vernacular constructions to deal with the severe climatic conditions that prevail in the Aures region. Precisely, rural dwellings in Ain Zaatout village (Beni Ferah) were studied to emphasize the importance of the architectural properties of the traditional houses in terms of thermal performance and climatic adaptability. In this regard, an extensive literature review was carried out on previous studies that investigated the Aures settlements. Accordingly, a comprehensive knowledge on typical Aurassien village and various data including spatial organisation, architectural characteristics and construction materials and techniques have been gathered. Based on this background, a qualitative analysis supported by field measurements was conducted. Then, two representative houses were selected as case studies for monitoring comfort parameters in summer period. Finally, the traditional and contemporary houses were compared in terms of their thermal performance. Through this study, the most frequently used strategies and their effectiveness were derived. The results indicate that vernacular rural habitat in the Aurassien villages is creatively adapted to the environmental conditions and uses various climate responsive strategies. The study additionally reveals that vernacular constructions in the Aures are more adapted to the climate constraints and social needs than contemporary residential buildings. These results were confirmed by hydrothermal values where main indoor temperature in a traditional rural house was less than external values by 3 °C and more humidified, while in modern house indoor temperature records were more than the exterior by 1°C. Thus, vernacular climatic responsive strategies must be considered as a reference for nowadays environmental issues in rural areas. Moreover, they can be feasible for contemporary buildings and, consequently, they could contribute greatly towards improving indoor thermal comfort whilst reducing buildings energy demand.

An Improved Intelligent Control System for Temperature and Humidity in a Pig House

The temperature and humidity control of a pig house is a complex multivariable control problem. How to keep the temperature and humidity in a pig house within a normal range is the problem to be solved in this paper. The traditional threshold-based environmental control system cannot meet this requirement. In this paper, an intelligent control system of temperature and humidity in a pig house based on machine learning and a fuzzy control algorithm is proposed. We use sensors to collect the temperature and humidity in the pig house and store these data in chronological order. Then, we use these time series data to train the GRU model and then use the GRU model to predict the temperature and humidity change curve in the pig house in the next 24 hours. Finally, the mathematical model of the pig house and related equipment is established, and the output power of the related equipment is calculated based on the prediction results of GRU so as to effectively regulate the indoor temperature and humidity. The experimental results show that compared with the threshold-based environmental control system, our system reduces the abnormal temperature and humidity by about 90%.

Screening of bread wheat genotypes for heat tolerance using artificial and natural environment

Increasing temperature because of climate change is one of the leading constraints to wheat productivity by adversely affecting its growth and development. Global warming would push the wheat cultivation further into heat stressed environment in future which may ultimately cause yield loss. This research directed for determination of heat tolerance level among different wheat genotypes to establish selection criteria under high temperature to select promising wheat genotypes for breeding. Hundred wheat accessions including 97 lines from international Maize and wheat improvement centre’s (CIMMYT) heat nurseries and three local checks were assessed for tolerance against high temperature in glass house and open field. In glass house, at seedling stage data was recorded for fresh shoot weight, dry shoot weight, leaf relative water content and electrolyte leakage. In open field data for heat and yield related traits were recorded and subjected to mean square analysis. Studied traits were pooled through cluster analysis. Results showed that these traits have potential to discriminate heat tolerant and susceptible genotypes. Variances between genotypes were highly significant for all investigated traits under both circumstances. Accessions HTSBWON-15-0002, HTSBWON-15-0029, HTSBWON-15-0040, HTSBWON-15-0079, HTSBWON-15-0087, HTSBWON-15-0089 and Faisalabad-08 performed good for heat and yield related traits particularly electrolyte leakage and leaf relative water content. Hence, based on analysis it could be deduced that these genotypes may be used in hybridization programs for development of heat tolerant wheat genotypes with high yield potential.

A Hybrid Model for Temperature Prediction in a Sheep House.

Simple SummaryIn intensive sheep farming, the temperature is an important indicator of the healthy growth of sheep. The key to ensuring the healthy growth of sheep in a stress-free environment is to grasp the changing trend in the sheep-house temperature in time and adjust in advance. In order to solve this problem, we use machine learning technology to establish a combined prediction model to accurately predict the temperature of the sheep barn. The result shows that the combined prediction model has good stability and high accuracy. Additionally, it can be extended to the prediction research of other environmental parameters of other animal houses, such as pig houses and cow houses, in the future.Too high or too low temperature in the sheep house will directly threaten the healthy growth of sheep. Prediction and early warning of temperature changes is an important measure to ensure the healthy growth of sheep. Aiming at the randomness and empirical problem of parameter selection of the traditional single Extreme Gradient Boosting (XGBoost) model, this paper proposes an optimization method based on Principal Component Analysis (PCA) and Particle Swarm Optimization (PSO). Then, using the proposed PCA-PSO-XGBoost to predict the temperature in the sheep house. First, PCA is used to screen the key influencing factors of the sheep house temperature. The dimension of the input vector of the model is reduced; PSO-XGBoost is used to build a temperature prediction model, and the PSO optimization algorithm selects the main hyperparameters of XGBoost. We carried out a global search and determined the optimal hyperparameters of the XGBoost model through iterative calculation. Using the data of the Xinjiang Manas intensive sheep breeding base to conduct a simulation experiment, the results show that it is different from the existing ones. Compared with the temperature prediction model, the evaluation indicators of the PCA-PSO-XGBoost model proposed in this paper are root mean square error (RMSE), mean square error (MSE), coefficient of determination (R2), mean absolute error (MAE) , which are 0.0433, 0.0019, 0.9995, 0.0065, respectively. RMSE, MSE, and MAE are improved by 68, 90, and 94% compared with the traditional XGBoost model. The experimental results show that the model established in this paper has higher accuracy and better stability, can effectively provide guiding suggestions for monitoring and regulating temperature changes in intensive housing and can be extended to the prediction research of other environmental parameters of other animal houses such as pig houses and cow houses in the future.

Influence of tunnel ventilation on the indoor thermal environment of a poultry building in winter

Tunnel ventilation systems are widely used to create thermal environments for poultry buildings in China. However, existing research mainly focuses on the indoor thermal environment in summer and rarely considers the winter season. A field test was conducted in a layer breeder building in Handan City, China to systematically investigate the characteristics and problems of the thermal environment in winter. Forty-two measuring points were set to analyze the indoor air velocity and temperature distributions, and the nonuniformity coefficient and temperature humidity velocity index (THVI) were adopted as the evaluation indices. Furthermore, the exhaust fan layout of tunnel ventilation was explored to improve the indoor thermal environment using a validated computational fluid dynamics (CFD) method. The results show that (1) the indoor air velocity distribution is quite nonuniform with a nonuniformity coefficient of 0.74, the maximum difference of which is as large as 0.62 m/s; (2) the nonuniformity coefficient of indoor air temperature distribution is 0.16, and the maximum temperature difference is as large as 12.9°C; (3) the indoor THVI is below the appropriate range of 18–25, making the thermal comfort zone only 61.4%; (4) separately installing exhaust fans at the front and end walls with the symmetrical locations and sizes can improve the distribution uniformities of indoor air velocity and temperature by 22.0% and 88.3%, respectively. The experimental results and parametric optimization of tunnel ventilation in this study will be beneficial for designing an appropriate thermal environment for poultry buildings during winter. • The non-uniformity coefficient of air velocity in experimental poultry house is 0.74. • The maximum difference of air temperature in experimental poultry house is 12.9 °C. • The thermal comfort zone in experimental poultry house is only 61.4% of entire space. • Separately installing exhaust fans on front and end walls improves the environment.

Genome-wide association for heat tolerance at seedling stage in historical spring wheat cultivars.

Increasing global temperature has adverse effects on crop health and productivity at both seedling and reproductivity stages. It is paramount to develop heat tolerant wheat cultivars able to sustain under high and fluctuating temperature conditions. An experiment was conducted to characterize 194 historical wheat cultivars of Pakistan under high temperature at seedling stage to identify loci associated with heat tolerance using genome-wide association studies (GWAS). A quantitative trait locus, TaHST1, on chr4A was also characterized to identify the haplotypes at this locus associated with heat tolerance in wheat from Pakistan. Initially, the diversity panel was planted under control conditions (25°C/20°C day and night temperature) in a glass house. At three leaf stage, plants were subjected to heat stress (HS) by increasing temperature (40°C/35°C day and night), while one treatment was kept at control condition. After 7 days of HS, data were collected for seedling morphology. Heat stress reduced these traits by 25% (root weight) to 40% (shoot weight), and shoot biomass was largely affected by heat stress. A GWAS model, fixed and random model circulating probability unification (FarmCPU), identified 43 quantitative trait nucleotides (QTNs) on all chromosomes, except chr7B, were associated under both HS and control conditions. Thirteen QTNs were identified in control, while 30 QTNs were identified in HS condition. In total, 24 haplotypes were identified at TaHST1 locus, and most of the heat tolerant genotypes were assigned to Hap-20 and Hap-21. Eleven QTNs were identified within 0.3–3.1 Mb proximity of heat shock protein (HSP). Conclusively, this study provided a detailed genetic framework of heat tolerance in wheat at the seedling stage and identify potential genetic regions associated with heat tolerance which can be used for marker assisted selection (MAS) in breeding for heat stress tolerance.

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.