Exhaust Fan Research Articles

Drying Kinetics of Banana Chips: A Modeling Approach

The primary goal of this research is to identify and evaluate the most suitable thin-layer drying model to effectively interpret the drying characteristics of banana chips and determine moisture diffusivity at different drying temperatures. The study utilized physiologically mature “kapok” bananas from the local market in Jember Regency. A flash dryer with a 4000-watt electric heating system was used, equipped with a blower for air circulation, an exhaust fan to expel water vapor. The bananas were processed into chips with a thickness of 1 mm. A total of 2000 g of banana chips were dried at constant temperature according to treatment conditions (air velocity 3.2 m/s, drying at temperatures of 60, 70, and 80°C). The study found that higher drying temperatures (80°C) achieved the highest initial drying rate (35.9% in 30 min) compared to 60°C (28.0%) and 70°C (22.0%). However, the drying rate gradually decreased at all temperatures. The drying kinetics of banana chips at 60, 70, and 80°C aligned well with the modified Midilli model. Effective moisture diffusivity values for banana chips at 60, 70, and 80°C were 4.947E-9 m²/s, 5.165(10–9) m²/s, and 5.756(10–9) m²/s, respectively, indicating that drying at 80°C was the most effective. The effective moisture diffusivity value showed a strong correlation with air velocity, drying temperature, material thickness, RH, and specific material attributes. Keywords: Banana, Diffusivity, Drying, Thin layer drying, Modified Midilli Model.

Design and Implementation of a GSM-Based Home Protection System Against Gas Cylinder Explosion

The aim of this work is to design and implement a GSM-based smart home protection system against the possible life-threatening firing and damage of properties due to gas cylinder explosions. These hazardous explosions are increasingly happened in Bangladesh in the recent years and hence, become serious concerns for the safety of individuals residing in a house. The system designed and implemented in this work can identify unnatural gas leakage by using gas sensors and also, sense unusual temperature increases due to firing inside a house or a restaurant by using temperature sensors. The proposed system ensures multi-level security. The audio and visual alerts are ensured by the use of fire alarms and LEDs respectively. Using GSM module, the system also makes emergency calls and sends SMS to the owner and the nearby fire station to take prompt actions. One servo motor stops the gas valve to cease the gas leakage and another one starts the water valve to flow water to reduce the temperature. Additionally, an exhaust fan is used to reduce the room temperature and let the gas flow out. Therefore, the proposed system is a potential solution to reduce life risks and property damage due to gas cylinder explosion.

Performance evaluation of solar dryer integrated with solar panel for drying of carrot (Daucus carota) vegetable

ABSTRACT Solar energy is a well-known and economically efficient energy source. Solar energy is harvested in two modes: one is direct and another is indirect. In the direct type, the global radiation is used directly to dry the food samples, while in indirect mode, solar energy is converted into electricity to operate the integrated exhaust fan for enhancement of the drying rate. Thermal analyses of the various components of the PVT hybrid dryer have been incorporated into this performance evaluation. Carrot has been chosen as a food sample because it has good moisture content and is used for nutritive purposes. The maximum ambient temperature has been monitored as 41°C at maximum global radiation conditions. The effect of the PVT system with solar dryer in both cases i.e. natural convection and forced convection have also been discussed in terms of temperature profiles of the drying chamber, sample temperature, and thermal efficiency. The thermal efficiency has been found as 55.3% for forced convection and 53.4% for natural convection. Similarly, a 3°C temperature increment has been found in food samples. Results have been supported and analyzed by the comparison between outcomes of natural and induced convection.

Optimizing kitchen ventilation with an integrated stove air supply-exhaust system for reducing PM2.5 intake fraction and enhancing energy efficiency

Ensuring good ventilation is crucial for reducing the pollution caused by cooking activities in the indoor environment. Among them, fume exhaust devices as a vital component of kitchen ventilation, and their performance is particularly critical. Merely increasing the air volume of exhaust devices to remove fumes not only leads to the higher energy consumption of exhaust fans, but also has limited practical effect on reducing pollution. For improving the ventilation condition and reducing the energy consumption of supply and exhaust fan, a new ventilation system for kitchen with integrated stove air supply-exhaust (ISASE) was developed in this study. Firstly, the orthogonal experiment was utilized for arranging different combination schemes of five influencing factors, including the emission rate, exhaust flow, upper air supply angle, upper and lower air supply velocities. Then, the effect of ISASE in reducing the intake fraction of PM2.5 under each scheme was studied by using the computational fluid dynamics method. The energy consumption of this system under different ventilation schemes was investigated with on-site testing. Finally, performance-gaining rate was proposed by introducing intake fraction reduction rate and energy consumption growth rate to quantitatively evaluate the performance advantage of ISASE. Polynomial fitting was also used to explore the energy-saving effect of ISASE at high emission rate. The results showed that at low, medium, and high emission rates, the intake fraction of PM2.5 was reduced by 65.0%–85.2%. However, the energy consumption of ISASE merely increased by 7.4%–16.8% compared with traditional integrated stove without air supply conditions. Its maximum performance-gaining rate reached 0.49–0.66. The energy-saving rate of ISASE was 46.7% compared with traditional integrated stove without air supply when the same intake fraction was achieved at high emission rate. The practical schemes of ISASE at different emission rates were given in this study, which optimized the working performance of integrated stove and provided a useful reference for its innovative design.

Assessment of porcine reproductive and respiratory syndrome virus (PRRSV) farm surface contamination through environmental sampling

BackgroundDuring the fall of 2020, the porcine reproductive and respiratory syndrome virus (PRRSV) L1C.5 variant emerged and rapidly spread throughout southern Minnesota generating questions regarding possible transmission routes. This study aimed to investigate whether PRRSV could be detected on surfaces inside and outside pig barns housing L1C.5 variant PRRSV-positive pigs to illustrate the potential for indirect transmission of PRRSV. Seven Midwestern U.S. PPRS-positive breeding or growing pig farms and one PRRS-negative farm were conveniently selected. Internal and external barn surfaces were wiped using a PBS moistened cloth and the resulting liquid was submitted to the University of Minnesota Veterinary Diagnostic Laboratory for PRRSV RT-PCR testing and virus isolation.ResultsAll (n = 26) samples from PRRSV-negative farm tested negative. Nineteen (13%) out of 143 samples from positive farms yielded positive RT-PCR results. Positive samples originated primarily from exhaust fan cones and doorknobs, followed by anteroom floor and mortality carts/sleds. Virus isolation attempted on two samples did not yield positive results.ConclusionsPRRSV contamination can occur on surfaces inside and outside pig barns that are in frequent contact with farm personnel. Although virus isolation attempts were negative, our results illustrate the potential for PRRSV to be transmitted indirectly through contaminated materials or farm personnel. The study supports the implementation of biosecurity practices by farm personnel to prevent the introduction of PRRSV into farms and the prevention of PRRSV transmission between farms.

LPG Gas Leak Detection System and LPG Fire Classification Based on Internet of Things and Artificial Intelligence with Telegram Bot as a Monitoring Tool

LPG gas leaks pose a serious threat in industrial kitchens as they can cause costly fires, both in terms of material and safety. To improve safety, an accurate detection system is required. This research focuses on developing an LPG gas leak detection system and LPG fire classification with Internet of Things and Artificial Intelligence technology. Supported by Telegram Bot as an emergency notification monitoring tool, this system uses MQ-2 sensors to detect LPG gas leaks and ESP32-Cam to classify LPG fires along with Pretrained-model technology such as Cascade Fire Detection on OpenCV Cloud Server. As the output of this system, the use of PWM control and automation oversees regulating the Exhaust Fan according to the detected leakage. FreeRTOS is also used for system task efficiency, and Port Forwarding with Ngrok Local Server allows public access to the ESP32-Cam. System testing was conducted by Black-Box testing, then evaluating the performance of the MQ-2 sensor against 400 ppm and 1500 ppm thresholds for LPG testing distances in open kitchens and closed kitchens, as well as analyzing system response and delay via HTTP protocol. The results demonstrated the system's success in detecting gas leaks, classifying LPG fires and facilitating emergency communication.

Utilization of PID Controller to Optimize Energy Consumption in Hybrid Forced Convection Dryer

The drying process is essential in food processing, particularly for grains or beans. This process can influence the characteristics and quality of the dried material. However, the drying process needs massive energy. This condition can increase the cost of production. Therefore, optimizing energy is needed during the drying process. PID controller was proposed to be utilized in the dryer to maximize energy efficiency in this study. This method was implemented in forced convection and hybrid forced convection dryer. The temperature sensor was used as parameter control of the PID method to control the electric heater and exhaust fan. Moreover, PZEM-004T was used to measure the energy consumption. The objective of this study is to implement and fine-tune the PID controller to obtain the performance difference between two types of dryers, namely forced convection and hybrid forced convection. This will be achieved by collecting data on power and energy consumption. The results indicate that the hybrid dryer can significantly decrease power and energy consumption by 48.32% and 49.18%, respectively, compared to the forced convection dryer.

Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment

Air pollution in industrial environments, particularly in the chrome plating process, poses significant health risks to workers due to high concentrations of hazardous pollutants. Exposure to substances like hexavalent chromium, volatile organic compounds (VOCs), and particulate matter can lead to severe health issues, including respiratory problems and lung cancer. Continuous monitoring and timely intervention are crucial to mitigate these risks. Traditional air quality monitoring methods often lack real-time data analysis and predictive capabilities, limiting their effectiveness in addressing pollution hazards proactively. This paper introduces a real-time air pollution monitoring and forecasting system specifically designed for the chrome plating industry. The system, supported by Internet of Things (IoT) sensors and AI approaches, detects a wide range of air pollutants, including NH3, CO, NO2, CH4, CO2, SO2, O3, PM2.5, and PM10, and provides real-time data on pollutant concentration levels. Data collected by the sensors are processed using LSTM, Random Forest, and Linear Regression models to predict pollution levels. The LSTM model achieved a coefficient of variation (R²) of 99 % and a mean absolute percentage error (MAE) of 0.33 for temperature and humidity forecasting. For PM2.5, the Random Forest model outperformed others, achieving an R² of 84 % and an MAE of 10.11. The system activates factory exhaust fans to circulate air when high pollution levels are predicted to occur in the next hours, allowing for proactive measures to improve air quality before issues arise. This innovative approach demonstrates significant advancements in industrial environmental monitoring, enabling dynamic responses to pollution and improving air quality in industrial settings.

Analysis of Mental and Physical Workload of Sehati Crackers Factory Employees

The Sehati Cracker Factory produces and sells cooked and raw crackers. The production capacity of raw crackers is 1000 kg per day for 8-9 working hours and 17 employees. The problem that occurs is that workers feel excessive physical workload so that worker performance decreases and workers cause errors, namely products become defective. The aim of this research is to measure workers' mental and physical workload, and make improvements so that workers' workload is reduced. To measure workers' mental workload using the NASA-TLX method and to measure workers' physical workload using the CVL method. Based on measurements using NASA-TLX, it shows that the average mental workload is in the high category of eleven workers and the very high category of six workers. The results of the CVL method calculation show that the greatest physical workload is felt by respondent A with a CVL value of 31.36% and respondent L with a CVL value of 38.93%. Recommendations suggest reducing physical and mental workload by adding exhaust fans, checking machines and equipment before production, using conveyance, organizing training, and providing rest areas.

Improving energy consumption for dynamic intake and exhaust FAÇADES: A new setup design: Part B

Dynamic insulation technology adjusts thermal resistance to reduce building energy consumption in response to climate changes. Sustainable building practices prioritize optimizing the building envelope to enhance energy efficiency and regulate the interaction between indoor and outdoor environments. The previous part of this study (Part A) provided an overview of dynamic insulation technology and its potential effectiveness in Iraqi structures with intermittent heating and cooling. The successful implementation of dynamic thermal insulation necessitates careful planning and design solutions that balance performance and efficiency. This paper (Part B) three wall models (static, dynamic, modified dynamic) to evaluate their thermal performance during the heating season. The results demonstrate that the intake facade achieves a preheating efficiency of 77% for the dynamic wall and 81.8% for the modified dynamic wall at the maximum permissible fresh air limit. This improvement in efficiency enhances the quality and conditions of fresh air intake. Additionally, the modified dynamic wall exhibits a notable 50% reduction in pressure loss compared to the dynamic wall, resulting in lower intake or exhaust fan power and thus energy consumption. The results of this paper will guide the presentation of cooling season results and the experimental aspect of future work, offering valuable insights for further exploration. Practical applications This study aims to enhance the efficiency of dynamic facades by investigating the physical phenomena within wall layers. The paper delves into the determination of optimal airflow patterns within facades, the assessment of airflow path modifications, and the evaluation of energy efficiency achieved by implementing dynamic insulation at the intake and exhaust facades during the heating season. The findings contribute to streamlining design complexities and expanding design options for specific climates, thereby ensuring the pragmatic implementation of this technology.

Low-frequency HVAC 'rumble' in a high-end condominium

Sound and vibration measurements were conducted at a high-end condominium located in downtown Washington DC. Data was collected within the client’s residence unit and on the building’s roof. The objective for the measurements was to identify and characterize the sound within the unit for which the resident had complained. The source of the sound in the bedroom was identified from vibration on a wall adjacent to an HVAC vertical duct. The sound and vibration were found to originate at a roof-mounted fan integral to the HVAC air distribution system. The character of the sound was modulating, low-frequency ‘rumble’. Further investigation on the roof, however, revealed the building’s structure to be adequately isolated from vibration due to the fan and motor. Rather, the sound was generated by the interaction of the fan’s aerodynamics and the acoustical properties of the vertical duct. The amplitude of the acoustic field in the duct was sufficient to excite vibration of the duct’s enclosing walls. Instead of modifying the structural geometry of the vertical duct, the most efficient ‘fix’ to attenuate duct rumble was by installing a silencer in the horizontal duct between the exhaust fan and the vertical duct.

Newcastle viral disease causation web correlations with laying hen productivity

Environmental conditions profoundly impact the health, welfare, and productivity of laying hens in commercial poultry farming. We investigated the association between microclimate variations, production indices, and histopathological responses to accidental Newcastle disease virus (NDV) infection within a controlled closed-house system. The study was conducted over seven months in a laying hen facility in Cairo, Egypt. Microclimate measurements included temperature, relative humidity (RH%), air velocity (AV), and the temperature humidity index (THI) that were obtained from specific locations on the front and back sides of the facility. Productivity indices, including the egg production percentage (EPP), egg weight (EW), average daily feed intake, and feed conversion ratio, were assessed monthly. During an NDV outbreak, humoral immune responses, gross pathology, and histopathological changes were evaluated. The results demonstrated significant (p < 0.05) variations in EPP and EW between the front and back sides except in April and May. AV had a significant (p = 0.006) positive effect (Beta = 0.346) on EW on the front side. On the back side, AV had a significant (p = 0.001) positive effect (Beta = 0.474) on EW, while it negatively influenced (p = 0.027) EPP (Beta = − 0.281). However, temperature, RH%, and THI had no impact and could not serve as predictors for EPP or EW on either farm side. The humoral immune response to NDV was consistent across microclimates, highlighting the resilience of hens. Histopathological examination revealed characteristic NDV-associated lesions, with no significant differences between the microclimates. This study underscores the significance of optimizing microclimate conditions to enhance laying performance by providing tailored environmental management strategies based on seasonal variations, ensuring consistent airflow, particularly near cooling pads and exhaust fans, and reinforcing the importance of biosecurity measures under field challenges with continuous monitoring and adjustment.

Development of Automated Exhaust Fan for Modern Kitchen with IoT Notification System

Development of Automated Exhaust Fan for Modern Kitchen with IoT Notification System

Numerical study on the gas-solid diffusion characteristics of airflow and dust particles in metal mine blasting excavation under three hybrid ventilation modes

Dust pollution has long been a challenge in the blasting excavation of underground metal mines, and uncontrolled diffusion of dust particles seriously endangers the health and safety of workers as well as the environment in underground space. Most existing research on dust diffusion focuses on fully mechanized coal mining face or borehole drilling, where the dust source emission characteristics differ significantly from metal mine blasting excavation. Furthermore, it is still unclear how the ventilation modes of Far-Pressing-Far-Absorption (FPFA), Near-Pressing-Far-Absorption (NPFA), and Far-Pressing-Near-Absorption (FPNA) affect the mechanism of dust diffusion in the breathing zone. In this work, gas-solid flow characteristics in a typical metal mine blasting tunnel are numerically studied based on Euler-Lagrange method. The interphase forces between airflow and dust particles are comprehensively modeled, and the particle diffusion effect caused by fluid turbulence is described by the discrete random walk model. Five typical regions for airflow disorder phenomena in the working tunnel are predicted, including the jet development region, the return airflow core region, the airflow reversal region, the airflow recirculation region, and the secondary flow region. The spatial distribution of dust exhibits nonuniform characteristics under turbulent airflow transport. The time results of the monitored dust concentration reveal that the junction of the working tunnel and the return airway is a key area of focus for the prevention and control of dust pollution. Among the three ventilation modes, the Far-Pressing-Near-Absorption (FPNA) ventilation mode has the best dust removal efficiency. The supply vent further from the blasting face allows the jet to fully develop, while the exhaust vent closer to the blasting face allows dust particles to be drawn in and discharged earlier. Under the condition of fixed total power consumption for the supply and exhaust fans, a larger exhaust airflow velocity helps remove dust from the breathing zone.

Estimation of Formaldehyde Levels in Indoor Air of Gross Anatomy Laboratory

Introduction: Medical students spend majority of their times in Anatomy lab during their first year MBBS. Formalin has attracted attention as a health hazard for students and instructors as formalin concentrations in air of gross anatomy laboratories are often higher than permissible limits. Despite the known toxicity of formaldehyde and its potential health effects, laboratory workers and others have little enthusiasm for reducing or replacing the formaldehyde working solution Materials and Methods: The FA concentration (in ppm) of indoor air in Anatomy laboratory was measured using a SMILEDRIVE Portable air quality pollution meter. The mean FA concentration was measured after 1 hour after the cadavers were shifted to dissection table at three different levels a. At the level of floor b. At the level of roof c. 2 feets above the table (Breathing Zone of medical students) Three air samples from the breathing zones were tested and mean concentration of FA was taken with exhaust fan on at the level of roof and recorded as a. S1R- First immediately before the dissection (Zero hour), b. S2R- Second sample was collected after one hour after first sample was taken (First hour) and c. S3R- Third sample after two hours after first sample was taken (Second hour). Three air samples from the breathing zones were tested and mean concentration of FA was taken with exhaust fan on at the level of floor and recorded as a. S1F- First immediately before the dissection (Zero hour), b. S2F- Second sample was collected after one hour after first sample was taken (First hour) and c. S3F- Third sample after two hours after first sample was taken (Second hour). Results: The vertical distribution of FA was measured by taking the mean air samples at the level of floor, at roof level and about 2 feet above dissection table immediately after the cadavers were shifted to tables. It was found to be about 0.54ppm at the level of floor, 0.52 at the breathing zone and 0.51 ppm at roof level. The FA concentration was highest at the level of floor and least at the level of roof. On comparing S2F and S2R the p value was 1.335. Thus, it was not statistically significant. On comparing S3F and S3R the p value was 0.411. Thus, it was not statistically significant. Conclusion: The mean FA at the level of floor was 0.54 ppm. At the breathing zone the mean FA concentration was 0.51 ppm before the dissection was started. Exhaust fans at the level of roof were switched on and the second sample was taken after 1 hour. The FA concentration was 0.23 ppm. Third sample was taken at 2nd hour and FA concentration was 0.11 ppm. The exhaust fans at the level of floor were switched on. The air samples were measured at 0, 1st and 2nd hour at breathing zones. It was 0.51, 0.31 and 0,15 ppm respectively.

Modelling of Gas Leakage Detector with Safety System

Abstract: Leaking of gas is the major problem with industrial sector, domestic areas and vehicles run by LPG gas. Many accidents occur in day-to-day life like explosion because of gas leakage. If gas leakage is not detected earlier then major harm is caused. Due to leakage of LPG gas, it produces hazardous and toxic impact for living things.[1] LPG and natural gas is highly combustible and can burn even at some distance from the source of outflow. The main aim of this project is to present the detection of leakage, alert the danger to people and on the exhaust fan to throw out the gas to prevent from explosion. The gas will be detected by using MQ5 gas sensor. It will immediately turn on the buzzer and exhaust fan and also off the all of the lights, fans of the house for safety, when the sensor detect any gas leakage. This system is controlled by Arduino platform

Determination of the possibilities of using the universal low-temperature rotary apparatus for the production of meat and vegetable products under the conditions of providing uniform heat supply

The object of research is the process of frying a meat-vegetable product in the developed universal low-temperature rotary apparatus. The problem of ensuring the uniformity of the temperature field during low-temperature processing of meat and vegetable products is solved in the developed universal low-temperature rotary apparatus. The expected effect during the approbation of the apparatus is predicted under the condition of eliminating high-temperature intermediate coolants (hot air, etc.) due to the use of a film-like resistive electronic heater of the radiating type. The temperature field is established, which confirms the uniformity of the temperature effect on meat and vegetable products, and a slight deviation within the limits of autonomous exhaust fans is not critical and within the permissible error. Also, the introduction of Peltier elements into the design of the rotary apparatus will allow converting thermal energy into a low-voltage supply voltage (3–6 W) and, already at 20 °C, ensure autonomous operation of fans. The obtained results in the form of practical implementation of the developed apparatus will allow to implement low-temperature processing of meat and vegetable products. This allows to maximally preserve the functional properties of meat raw materials and the physiological properties of vegetable semi-finished products with a high degree of readiness. The practical implementation of the universal low-temperature rotary apparatus from the side of constructive implementation due to the use of functional containers makes it possible to obtain a wide range of assortment of meat products, both in the shell and without the shell. The elimination of high-temperature intermediate heat carriers (hot air, steam, etc.), their technical networks and generating apparatuss ensures energy and metal-intensive resource savings. In addition, the introduction of multicomponent vegetable semi-finished products of a high degree of readiness (powders, pastes, etc.) into the recipes of meat products will lead to a partial replacement of the main recipe components and an increase in the functional properties of the finished products.

IOT Enabled Smart Washroom

While progress is undoubtedly being made in the cutting-edge globe, our country's cleanliness is in jeopardy. The purpose of this paper is to supply hygienic and clean restrooms. Every public restroom ought to be hygienic and spotless. The government of our nation launched the "Swachh Bharat" (Clean India) program. One of the goals of the Clean India initiative is to maintain uncontaminated toilets. This study has the potential to support the clean India initiative. It may eventually demonstrate the major role in the Clean India Plan. The smart bathroom system integrates features like an automatic water tap for hands-free operation, water leakage detection to prevent waste, and an exhaust fan with odour sensing for improved air quality. It dispenses auto air freshener based on bad smell detection linked to overall air quality monitoring. Users can control and monitor these functions through a mobile app. Additionally, an auto-cleaning mechanism activates after every 10 entries to ensure a hygienic space. This system aims to enhance efficiency and convenience in the bathroom environment.

Removal efficiency of restroom ventilation revisited for short-term evaluation

Ventilation efficiency or contaminant removal efficiency is often evaluated using the ratio between the concentrations in the exhaust air and the room air. This ratio does not truly represent the expectation of ventilation in restrooms, where dynamic airflow fields and sources are more typical. This study focuses on a short-term (10 min) pollutant removal percentage in a residential restroom featuring a dynamic airflow field, particularly with the onset of window-induced stack ventilation during toilet uses. Thirteen ventilation scenarios of a residential restroom were studied using the numerical method that was validated by a mock-up experiment. The scenarios differed in the operation of the exhaust fan and window. Results show that the 10-min pollutant removal percentage of a typical exhaust ventilation system at 10 h-1 air change rate (ACH) is only 68.5%. Under exhaust ventilation, opening the window can introduce both adverse short circuit and favorable stack ventilation depending on the difference between the indoor and outdoor temperatures. As the temperature difference increases from 0 to 12.5 °C, the removal percentage increases from below 50%, a drop due to short circuit, to above 98% thanks to a tripled ventilation rate. The human thermal plume has notable effect on the removal percentage, but its effect can be neglected with the presence of stack ventilation. The hybrid ventilation strategy has impact on perceived air quality and thermal comfort. When the outdoor air is colder, opening the window under exhaust ventilation may increase the current sitting user’s exposure to the self-produced pollutants but can reduce the exposure of the next immediate standing user. In addition, opening the window in cold days will make the toilet user thermally uncomfortable with reduced local temperatures and increased airflow velocities. The study highlights the importance of using the short-term removal percentage to evaluate the performance of restroom ventilation.

Smart Irrigation System using Arduino

India has been considered the main source of agricultural work in the country. In India, water is required for agriculture and growing crops. There will be irrigation in the fields. So grains will be produced in the fields. Water is the main source of human life of all living beings. Grains do not grow without water. Due to the population, farming produces grains. All living beings get life only from grains. Today we can trace irrigation system. Soil moisture, ph, concentrated parameter measured. And display water level, temperature humidity through LCD display. Can see the irrigation of water through computer. With smart irrigation system, we can control the water. And can do farming easily. Keywords:- Arduino Uno, sensors (light, Temperature, Soil Moisture, PH, Water Level, DHT 11, Humidity), LCD Display Moter pump, Exhaust Fan, GSM Module