Irrigation Capacity Research Articles

County-Level Cultivated Land Quality Evaluation Using Multi-Temporal Remote Sensing and Machine Learning Models: From the Perspective of National Standard

Scientific evaluation of cultivated land quality (CLQ) is necessary for promoting rational utilization of cultivated land and achieving one of the Sustainable Development Goals (SDGs): Zero Hunger. However, the CLQ evaluation system proposed in previous studies was diversified, and the methods were inefficient. In this study, based on China’s first national standard “Cultivated Land Quality Grade” (GB/T 33469-2016), we constructed a unified county-level CLQ evaluation system by selecting 15 indicators from five aspects—site condition, environmental condition, physicochemical property, nutrient status and field management—and used the Delphi method to calculate the membership degree of the indicators. Taking Jimo district of Shandong Province, China, as a case study, we compared the performance of three machine learning models, including random forest, AdaBoost, and support vector regression, to evaluate CLQ using multi-temporal remote sensing data. The comprehensive index method was used to reveal the spatial distribution of CLQ. The results showed that the CLQ evaluation based on multi-temporal remote sensing data and machine learning model was efficient and reliable, and the evaluation results had a significant positive correlation with crop yield (r was 0.44, p < 0.001). The proportions of cultivated land of high-, medium- and poor-quality were 27.43%, 59.37% and 13.20%, respectively. The CLQ in the western part of the study area was better, while it was worse in the eastern and central parts. The main limiting factors include irrigation capacity and texture configuration. Accordingly, a series of targeted measures and policies were suggested, such as strengthening the construction of farmland water conservancy facilities, deep tillage of soil and continuing to construct well-facilitated farmland. This study proposed a fast and reliable method for evaluating CLQ, and the results are helpful to promote the protection of cultivated land and ensure food security.

Predicting drought stress under climate change in the Southern Central Highlands of Vietnam.

In the Southern Central Highlands of Vietnam, droughts occur more frequently, causing significant damage and impacting the region's socio-economic development. During the dry season, rivers, streams, and reservoirs often face limited water availability, exacerbated in recent years by increasing drought severity. Recognizing the escalating severity of droughts, the study offers a novel contribution by conducting a comprehensive analysis of surface water resource distribution in Lam Dong province, focusing on assessing water demand for agricultural production, a crucial factor in ensuring sustainable crop growth. Two scenarios, Current-2020 (SC1) and Climate Change-2025 (SC2), are simulated, with SC2 based on climate change and sea level rise scenarios provided by the Ministry of Natural Resources and Environment (MONRE). These scenarios are integrated into the MIKE-NAM and MIKE-HYDRO basin models, allowing for a thorough assessment of the water balance of Lam Dong province. Furthermore, the study utilizes the Keetch-Byram Drought Index (KBDI) to measure drought severity, revealing prevalent dry and moderately droughty conditions in highland districts with rainfall frequency ranging from 50 to 85%. Severe drought conditions occur with a rainfall frequency of 95%, indicating an increased frequency and geographic scope of severe droughts. Additionally, the study highlights that under abnormally dry conditions, water demand for the winter-spring crop is consistently met at 100%, decreasing to 85%, 80%, and less than 75% for moderate, severe, and extreme droughts, respectively. These findings offer insights into future drought conditions in the Lam Dong province and their potential impact on irrigation capacity, crucial for adaptation strategies.

Climate-Informed Management of Irrigated Cotton in Western Kansas to Reduce Groundwater Withdrawals

The Ogallala aquifer, underlying eight states from South Dakota to Texas, is practically non-recharging south of Nebraska, and groundwater withdrawals for irrigation have lowered the aquifer in western Kansas. Subsequent well-yield declines encourage deficit irrigation, greater reliance on precipitation, and producing profitable drought-tolerant crops like upland cotton (Gossypium hirsutum (L.)). Our objective was to evaluate deficit irrigated cotton growth, yield, and water productivity (CWP) in northwest, west-central, and southwest Kansas in relation to El Niño southern oscillation (ENSO) phase effects on precipitation and growing season cumulative thermal energy (CGDD). Using the GOSSYM crop growth simulator with actual 1961–2000 location weather records partitioned by the ENSO phase, we modeled crop growth, yield, and evapotranspiration (ET) for irrigation capacities of 2.5, 3.75, and 5.0 mmd−1 and periods of 4, 6, and 8 weeks. Regardless of location, the ENSO phase did not influence CGDD, but precipitation and lint yield decreased significantly in southwest Kansas during La Niña compared with the Neutral and El Niño phases. Simulated lint yields, ET, CWP, and leaf area index (LAI) increased with increasing irrigation capacity despite application duration. Southwestern Kansas producers may use ENSO phase information with deficit irrigation to reduce groundwater withdrawals while preserving desirable cotton yields.

An integrated modeling approach to simulate human-crop-groundwater interactions in intensively irrigated regions

Global food security is threatened by aquifer depletion in arid and semi-arid regions. Ensuring aquifer sustainability while minimizing farmers' costs requires effective groundwater management policies, which are informed by hydro-economic models. However, the reliability of these models is typically compromised by oversimplifications. This study introduces a hydro-economic modeling framework (ABM-MODFLOW), applied in the U.S. High Plains, overcoming previous models’ shortcomings. It employs an interdisciplinary approach, simulating real-world farming decisions and the resultant impacts on groundwater systems. Model validation indicates satisfactory performance in reproducing historical data and trends, outperforming the standalone groundwater model. Results show that agents with high irrigation capacities and fine soils earn the highest profits, whereas those with low irrigation capacities and coarse soils achieve the lowest profits. This modeling framework provides an advanced approach for simulating interactions between human decisions, crops, and groundwater in heavily stressed aquifers globally, supporting the development of effective groundwater management policies.

Evaluation of Combined Irrigation Capacity for SDI Corn Production

Evaluation of Combined Irrigation Capacity for SDI Corn Production

The Effect of Solar Panel Type on some Irrigation System Parameters and Bean Crop Germination Percentage

An experiment was carried out at Al-Raed Research Station, which is located on the Baghdad-Anbar road during the winter season, in order to study the effect of the type of solar panels and irrigation system on some performance indicators of irrigation systems and germination percentage of bean crop (Vicia Faba L). A randomized complete block design (RCBD) was used with three replications. The experiment consist of two factors. 1st factor was the solar panel type with two levels : monocrystalline and polycrystalline. Second factor was the irrigation system with two levels Drip and sprinkler irrigation system the following indicators were studied : solar panel efficiency (%), Irrigation system capacity (L / H), coefficient of homogeneity, germination percentage (%). The results shows that the monocrystalline achieved the best result by achieving the highest solar panel efficiency (24.21 %), the highest irrigation capacity (1782 L/H) and highest coefficient of homogeneity (94.54 %), The best solar panel efficiency was achieved with the drip irrigation which has on average (22.50 %), The drip irrigation had the highest coefficient of homogeneity (96.14 %) and the best germination percentage (97.20 %). The interaction between solar panel type and irrigation system shows that the monocrystalline with drip irrigation achieved the best panel efficiency (25.69 %) and highest average for homogeneity (96.72 %).

Determination of Infiltration Rate Capacity of Minor Irrigation (M. I) Tanks in Gangakatwa Stream Basin over Lateritic, Basaltic and Granitic formations in parts of Vikarabad and Sangareddy District - Telagana State, India.

The study focused on determining the infiltration rate capacity of three Minor Irrigation tanks in the Gangakatwa stream basin in Telangana State, India, which were located in areas with laterite, basalt, and granite formations. Geophysical Resistivity Surveys, (Vertical Electrical Sounding) were conducted parallel to the bund to determine the soil resistivity. Three locations were chosen based on the Resistivity of the soils to determine the infiltration rate capacity in each formation. The study utilized a double ring infiltrometer for the experimental analysis, and the infiltration rates were measured at intervals of 1, 2, 5, 10 and 20 minutes up to 123 minutes to assess the potential for soil structure restoration and the efficiency of the Minor Irrigation tanks. The results of this study could provide valuable insights into improving the efficiency of Minor Irrigation tanks and optimizing irrigation practices in the region

“The Last Victims of the Indian War”: Celilo Falls, the Dalles Dam, and Infrastructural Colonization

In 1957, the Dalles Dam was constructed on the Columbia River between Washington and Oregon. When the dam was completed, it inundated Celilo Falls, a Native American fishery and cultural gathering point that had been in use for at least 12,000 years. Prior to dam construction, the federal government and local agencies issued a number of reports stating the necessity of the dam for economic development through hydroelectric power generation, improved shipping navigation, flood control, and expanded irrigation capacity. These reports often sought to determine the financial payout that would be made to the groups with treaty rights to fish at their “usual and accustomed” places, such as Celilo Falls. However, the reports rarely engage with the cultural significance of Celilo Falls or the depth of opposition that people had to the dam. The research discussed here is based on archival government reports alongside the voices of affected tribal members preserved through The Confluence Project and other sources. This article develops the idea that reclamation infrastructure in the U.S. West plays a key role in colonizing efforts from federal to local scales, reflecting the aims of the settler state. Through an analysis of government documents alongside the recollections of Indigenous elders from the mid-Columbia region, this article offers insights into how reclamation infrastructure functions as an aspect of settler colonialism and relies on theorizations of this process from the people most affected by the loss of Celilo Falls.

Research on the status of the irrigation and drainage network in Iran based on the viewpoint of water users and experts using SWOT analysis

AbstractIn many arid and semi‐arid regions, such as Iran, traditional irrigation systems consume a large proportion of surface water and groundwater resources. In the last few decades, due to the undesirable effects of climate change and continuous drought, many studies have been conducted on reducing threatening factors using the capacity of irrigation and drainage networks and participating water users in irrigation management. This study aimed to evaluate the performance of the irrigation and drainage network of the Varamin Plain using the SWOT model that is an analytical model used based on the results of the strengths, weaknesses, opportunities and threats of the subject, considering the cooperative management of water users. In addition to conducting interviews, a questionnaire was used to collect data from two groups of network water users and experts. According to the results, the farmers and water users of the network are in a relatively good situation in terms of access to water, possibly due to the available three annual planting seasons (due to the existence of irrigation and the drainage network and the use of grey water, conditions for irrigation and crop cultivation are available in four seasons of the year). The most critical concerns of the water users were the lack of knowledge about the organization of water collectors, the inconsistency among governmental organizations and the insignificant action of the Agricultural Jihad Organization (a government ministry in Iran to advance agricultural goals and all related matters) in solving issues related to water rights. Failure to inform the users about the costs of creating network infrastructure, maintaining facilities and canals, not accepting water shortage conditions and the state of groundwater resources, consecutive cropping seasons throughout the year, cultivation of crops with high water demand, people with political and social influence obtaining excess water rights, and the lack of coordination among related governmental policies were the most critical concerns of the experts.

An evaluation of small-scale irrigation schemes infrastructure

The development and management of irrigation in many developing countries have been characterized by many challenges, which have led to irrigation capacity utilization on some existing schemes being very low. This study assesses small-scale irrigation scheme infrastructure in the Upper West Region of Ghana, using Yeleyiri irrigation scheme in the Wa West District and Pulima irrigation scheme in the Sissala West District as case studies. The focus of the assessment was on the status and an analysis of the rehabilitation requirements of the two schemes. In conducting the evaluation, transect walks, topographic surveys, field observation, field measurement, interviews, focused group discussions, and questionnaire surveys were the approaches and methodology adopted. The results showed that the head works, slopes, inlet and outlet structures, water distribution systems, and drainage in both schemes were in a deplorable state and thus, required maintenance to ensure the optimization of the utilization of both schemes. In addition, the absence of a farmhouse and storage facilities in both schemes made the effective management of the schemes a major challenge. The study, therefore, proposes some interventions for the rehabilitation and efficient optimization of the two small-scale irrigation schemes.

Development and evaluation of a decision support mobile application for cotton irrigation management

Irrigation decision support tools are a means by which crop producers can improve the efficiency of water they apply. However, the available tools generally have poor adoption rates due to high costs, requirement for technical background and skills, need for extensive input data, lack of economic analysis support, and/or low accuracy. Here, we aimed to develop an inexpensive and easy-to-use decision support mobile app called Irrigation Decision-support for Conserving Resources and Optimizing Production (idCROP), to aide cotton producers in the Texas Rolling Plains and High Plains regions to increase water-use efficiency while maintaining higher crop yields. The app was built based on the crop simulation model, Decision Support System for Agrotechnology Transfer (DSSAT), and a newly developed economic model to provide real-time irrigation schedules and projected economic outcomes based on water use and production goals. The app integrates real-time management information from users with historic, real-time, and forecasted short-term and seasonal weather data. This integration enables output of efficient and situationally relevant irrigation schedules and forecasts of associated cotton yield and economic returns. This enables users to choose an irrigation strategy that best suits their irrigation capacities and expected returns. The irrigation schedules can be improved by optional remote detection of plant water stress using a sensor platform mounted on a pivot irrigation system, but the app can be used without the sensors in conjunction with any type of irrigation system. The crop model-based irrigation scheduling in idCROP was validated at the Texas A&M AgriLife Chillicothe Research Station in the Texas Rolling Plains region and acceptable results were obtained. The idCROP app provides producers with a simple but powerful tool that takes the guess work out of irrigation management, helping them apply limited irrigation water more efficiently.

Research on Cultivated Land Quality Restriction Factors Based on Cultivated Land Quality Level Evaluation

Cultivated land quality is an essential agricultural resource and production element. To increase cultivated land quality in a targeted way, it is crucial to understand the features of regional elements that constrain its quality. In order to diagnose the restriction factors affecting the improvement of cultivated land quality grades and conduct a quantitative analysis of the regional cultivated land quality improvement restriction factors, the restriction index model was used in this study to analyze the distribution characteristics of cultivated land quality grades in East Anhui, China. The results show that there are six main restriction factors of cultivated land quality in the study area, which are effective soil layer thickness, soil organic matter, soil acidity and alkalinity, plough layer texture, irrigation capacity, drainage capacity, and obstacle factors, among which the main restriction factors of the first to third grades are soil organic matter, soil acidity and alkalinity, and the main restriction factors of the fourth to seventh grades are soil organic matter, and soil acidity and alkalinity. The main restriction factors of the soil organic matter, effective soil layer thickness, and obstacle factors are the key restriction factors in the ninth to tenth classes.

Analisis Karakteristik Aliran Irigasi Perforasi Pada Lahan Datar

Perforation irrigation is a unidirectional beam irrigation system that can be used for crop irrigation on dry land, due to the efficient use of water and the ability to wet land with a limited area. Therefore, the perforation irrigation system needs to be studied further in relation to the area of land that can be irrigated and the distribution of discharge to each perforated pipe. By testing several variations of the water level, the perforation irrigation emission capability will be obtained in the form of irrigation distribution, uniformity, emission capability and discharge amount used in irrigation on flat land. This study aims to determine the perforation irrigation capacity on flat land, the distribution of irrigation and the amount of discharge required. The test was carried out on three perforated pipes made of ½” PVC as lateral pipes, three transmission pipe length variations, such as 0.8m, 1m, and 1.2m with a distance between the perforations of 60 cm. The source of irrigation water comes from a 3 m tall tower with a capacity of ± 200 𝑙𝑖𝑡𝑒𝑟. The test uses three variations of head height, namely h1 350 cm, h2 360 cm, h3 370 cm and h4 380 cm. The results showed that the perforation irrigation jet length was around 100cm -120 cm, the uniformity of CU irrigation was above 97% with a total discharge on h1 QT = 0.689 lt/s, h2 QT = 0.690 lt/s , h3 QT = 0.695 lt/s and on h4 QT = 0.701 lt/s. While the range of flow rates for perforation 1 pipe Q1 (0.42 lt/s – 0.429 lt/s), perforation 2, Q2 (0.13 -0.145 lt/s) and perforation 3, Q3 (0.129 - 0.135 lt/s)

Irrigated urban trees exhibit greater functional trait plasticity compared to natural stands.

Urbanization creates novel ecosystems comprised of species assemblages and environments with no natural analogue. Moreover, irrigation can alter plant function compared to non-irrigated systems. However, the capacity of irrigation to alter functional trait patterns across multiple species is unknown but may be important for the dynamics of urban ecosystems. We evaluated the hypothesis that urban irrigation influences plasticity in functional traits by measuring carbon-gain and water-use traits of 30 tree species planted in Southern California, USA spanning a coastal-to-desert gradient. Tree species respond to irrigation through increasing the carbon-gain trait relationship of leaf nitrogen per specific leaf area compared to their native habitat. Moreover, most species shift to a water-use strategy of greater water loss through stomata when planted in irrigated desert-like environments compared to coastal environments, implying that irrigated species capitalize on increased water availability to cool their leaves in extreme heat and high evaporative demand conditions. Therefore, irrigated urban environments increase the plasticity of trait responses compared to native ecosystems, allowing for novel response to climatic variation. Our results indicate that trees grown in water-resource-rich urban ecosystems can alter their functional traits plasticity beyond those measured in native ecosystems, which can lead to plant trait dynamics with no natural analogue.

Methodology for Calculating Water Supply for Irrigation from Reservoirs of Multifunctional Purpose (on the Example of China and Belarus

Reservoirs with multifunctional purposes are the most widely used as sources of water for irrigation. In China, a large number of irrigation systems have been created using reservoirs as sources for flood prevention, irrigation, industrial and agricultural water supply. In Belarus, the Soligorsk, Lyuban, Petrovich, Pogost and other multifunctional reservoirs are used for irrigation. The useful (regulating) volume of a multifunctional reservoir consists of separate components calculated for each consumer in the basis of a hydrological and feasibility study. Thus, the useful volume of water intended for irrigation should provide the required irrigation capacity and capacity of the irrigation system. When determining the useful (regulating) volume of a multifunctional reservoir, the total water requirements for various purposes (water supply, irrigation, hydropower, etc.) are calculated. For each consumer, the required design supply is assigned and the appropriate method for determining water consumption is used. Reservoirs intended for water supply count on 95–97 % availability of runoff, and for irrigation purposes – on 75–80 % availability in zones of moderate and excessive moisture. In arid, desert and semi-desert regions of China, where lack of water in dry years can lead to large crop losses, irrigation reservoirs are expected to be 90–95 % secure. The volumes and costs of water in the reservoir for irrigation purposes must cover the needs of plants in water within the established time frame for the year of estimated availability. The paper provides a formula for determining the weighted average irrigation rate and the volume of water required for irrigation. A methodology is presented for calculating the useful volume of a reservoir intended for industrial water supply and irrigation, for which flow regulation is calculated for two supply of water consumption. A method is proposed for determining the flow rate of entrained sediments for various stages of their movement. A formula is presented for the total volume of suspended and bottom sediments entering the reservoir.

Drought Impacts on the Crop Sector and Adaptation Options in Burkina Faso: A Gender-Focused Computable General Equilibrium Analysis

The crop sector in Burkina Faso has been facing recurrent droughts since 1970. This study analyzes the impacts of droughts and adaptation options such as the use of irrigation capacity development methods, integrated soil management and drought-tolerant crop varieties on the crop sector. Indeed, we focus on the consequences of agricultural droughts on economic growth and employment and on the gender dimension of household poverty. Using a gendered dynamic computable general equilibrium model linked to a microsimulation model, we conduct simulations of various drought scenarios (mild, moderate and severe). We show that the mild, moderate and intense droughts experienced by Burkina Faso over the past ten years have negatively affected the country’s economic performance and considerably degraded the welfare of its households. The gross domestic product has fallen by 3.0% in the short term and 3.3% in the long term due to intense droughts. Moreover, the number of poor people is growing faster in male-headed households than in female-headed households. Given the large female population in both groups of households, women bear the brunt of droughts. These results also demonstrate how these negative impacts could worsen in the future with the recurrence of intense droughts due to the threat of global climate change. We find that Burkina Faso has room to reduce the negative impacts by adopting drought-tolerant crop varieties, integrated soil management approaches or expanding their irrigation capacity.

Determination of Affecting Factor for Sustainable Agricultural Production: A Case Study in Tan Thanh District, Long An Province, Vietnam

Background: This study aims to estimate the factors affecting the agricultural production process on the problem soil of Tan Thanh district as a case study to develop solutions for sustainable agriculture. Methods: Through consultation with 150 households and 60 experts, Four primary and 18 secondary factors were identified that affect the agricultural land use of the community. Result: The results show the factors of the consumption market, government organization, profit and soil quality that are the factors that receive much attention from experts by the “multi-criteria evaluation” method. On the contrary, the aspects of problem soil, irrigation capacity, flooding and drought time are of little interest to experts. The results have also proposed 12 groups of structural and non-structural solutions to improve the district’s agricultural land use efficiency. Which focuses on the consumption market, cost, profit and government organization.

A spatial directivity-based sensitivity analysis to farmland quality evaluation in arid areas.

Multi-criteria decision-making (MCDM) is an important means for evaluating resources and environment, and sensitivity analysis can enhance understand the robustness of evaluation results. Spatial visualization has been used in sensitivity analysis of MCDM, but the sensitivity results are still generally summarized by presenting traditional statistical measurements that omit the spatial information. To address this issue, this paper proposed a novel spatially measurement approach of sensitivity analysis by introducing the spatial barycenter model (SBM), which overcame the limitations of existing statistical methods and provided the spatial directivity of uncertainty for the MCDM results. According to our proposed method and its application in farmland quality evaluation (FQE) in an arid area of China, the mean of the absolute average change rate (MACR) and the SBM were applied to test the sensitivity of farmland quality to different evaluation factors from both numerical and spatial perspectives. From the numerical perspective, the soil organic matter and irrigation capacity were the most sensitive factors determined by the MACR. From the spatial perspective, the ≥10 °C accumulated temperature (AT) and precipitation were the most sensitive factors measured by the SBM. Based on the SBM, the spatial configuration of farmland quality index was most sensitive to increase of AT in a northwesterly direction. Calculating the SBM is computationally inexpensive and provides a straightforward indication of spatial direction for the changes of FQE results with changes of parameters. This means it can provide improved understandings and new insights into the comprehensive measurement of sensitivity analysis and agricultural production layout.

Utilization of Smart Irrigation for Different Irrigation Systems on the Growth and Production of Different Rice Cultivars

A field experiment was conducted at one of the research stations of the College of Agricultural Engineering Sciences / University of Baghdad for the summer agricultural season of 2021, to evdluate the utilization of smart irrigation systems with dry planting and its impact on the growth and production of three local rice cultivar treatment. for irrigation systems in cluded: subsurface and surface drip irrigation, sprinkler irrigation, and flood irrigation, and three local cultivar treatment of rice Anber 33, Jasmine and Furat were studied. The characters studied were irrigation system capacity, irrigation system efficiency, plant height, and rice yield. The experiment was carried out using a nested design, according to a randomized complete block design RCBD with three replications .The results were statistically analyzed and the least significant difference LSD was used at the level of 0.05 to compare the averages of the treatments. The results indicate that the surface drip irrigation system outperformed in obtaining the highest dripping discharge stood 3.03 l. h-1. subsurface irrigation system obtained the highest irrigation efficiency stood 93.0%. The flood irrigation system obtained the highest plant height stood 80.66 cm and the highest yield reached stood 3.424 tons ha-1. The Anber 33 cultivar achieved the highest irrigation flow in the flood irrigation that reached stood 114.4 l. h-1, the highest irrigation efficiency achieved by Furat cultivar which was stood 82.2%, and the Anbar 33 cultivar treatment achieved the highest plant height of 91.67 cm and the highest yield stood 3.873 tons ha-1. Jasmine cultivar treatment the highest discharge in the sprinkler irrigation capacity was stood 23.28 l. h-1, the highest discharge in the hydraulic dripper was stood 3.04 l. h-1. The two-way interaction between the flood irrigation system and Anber 33 cultivar treatment achieved the highest plant height stood 110.7 cm and the highest yield stood 4.043 tons. ha-1.. The sub-surface drip irrigation system in the Anbar 33 cultivar treatment achieved the highest irrigation efficiency of 93.6%. the surface drip irrigation system in the Anbar 33 cultivar treatment achieved the highest discharge of drippers which reached 3.05 l . h-1. Subsurface drip irrigation in Jasmine cultivar treatment achieved the highest dripping discharge stood 3.05 l. h -1.

KARAKTERITIK DISTRIBUSI VOLUME DAN DEBIT ALIRAN IRIGASI AKTUAL SETIAP SISTEM JARINGAN IRIGASI TETES PADA LAHAN LAYANAN BERTINGKAT

In the conditions of the Covid-19 pandemic, farming on a large area of land requires a lot of human interaction so it is not safe for all the people involved, as is the case with the residents of BTN Pengsong Indah. Farming with polybag land media with a drip irrigation system is expected to help the community in the environment, so that people can still do farming at home to help food security during pandemic times. This study aims to determine the distribution of drip irrigation, discharge, uniformity and distribution patterns at each land level. The research area is 1.5 m x 3 m x 2 m and the distance between the levels is 1 m, the water source has a capacity of 150 liters, the height is 3.3 m and the drip pipe is 12mm NTF pipe. The data analyzed were irrigation volume, uniformity and discharge associated with irrigation patterns.The results showed that the drip irrigation system was able to provide discharge on the 1st floor (Q1) = 304.4 ml/min, 2nd floor (Q2) = 230.8 ml/min and 3rd floor (Q3) = 147.2 ml/min. The planting point discharge on the 1st floor (q1) ranges from 12.47ml/min -12.89 ml/min, on the q2 floor it is around 9.5 ml/min-9.73 ml/min and the q3 floor is 6.13 ml/min . The uniformity of drip irrigation for each level above 95% is very high. The irrigation distribution is where the higher the level of the irrigation system, the lower the irrigation capacity of the system with a deviation of about 2.5 ml/min -3.5 ml/min