scholarly journals Analyzing Irrigation Water Use Productivity and Irrigation Scheduling of Onion Farm Land in Serenta Irrigation Scheme, Northern Ethiopia

Author(s):  
Gebre Gidey ◽  
Azenaw Kalkay
2017 ◽  
Author(s):  
◽  
Akinola Mayowa Ikudayisi

Water is an essential natural resource for human existence and survival on the earth. South Africa, a water stressed country, allocates a high percentage of its available consumptive water use to irrigation. Therefore, it is necessary that we optimize water use in order to enhance food security. This study presents the development of mathematical models for irrigation scheduling of crops, optimal irrigation water release and crop yields in Vaal Harts irrigation scheme (VIS) of South Africa. For efficient irrigation water management, an accurate estimation of reference evapotranspiration (ETₒ) should be carried out. However, due to non-availability of enough historical data for the study area, mathematical models were developed to estimate ETₒ. A 20-year monthly meteorological data was collected and analysed using two data–driven modeling techniques namely principal component analysis (PCA) and adaptive neuro-fuzzy inference systems (ANFIS). Furthermore, an artificial neural network (ANN) model was developed for real time prediction of future ETₒ for the study area. The real time irrigation scheduling of potatoes was developed using a crop growth simulation model called CROPWAT. It was used to determine the crop water productivity (CWP), which is a determinant of the relationship between water applied and crop yield. Finally, a new and novel evolutionary multi-objective optimization algorithm called combined Pareto multi-objective differential evolution (CPMDE) was applied to optimize irrigation water use and crop yield on the VIS farmland. The net irrigation benefit, land area and irrigation water use of maize, potatoes and groundnut were optimized. Results obtained show that ETₒ increases with temperature and windspeed. Other variables such as rainfall and relative humidity have less significance on the value of ETₒ. Also, ANN models with one hidden layer showed better predictive performance compared with other considered configurations. A 5-day time step irrigation schedule data and graphs showing the crop water requirements and irrigation water requirements was generated. This would enable farmers know when, where, and how much water to apply to a given farmland. Finally, the employed CPMDE optimization algorithm produced a set of non-dominated Pareto optimal solutions. The best solution suggests that maize, groundnut and potatoes should be planted on 403543.44 m2, 181542.00 m2 and 352876.05 m2areas of land respectively. This solution generates a total net benefit of ZAR 767,961.49, total planting area of 937961.49 m2 and irrigation water volume of 391,061.52 m3. Among the three crops optimized, maize has the greatest land area, followed by potatoes and groundnut. This shows that maize is more profitable than potatoes and groundnut with respect to crop yield and water use in the study area.


Agronomy ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 888 ◽  
Author(s):  
Christoph Studer ◽  
Simon Spoehel

Appropriate irrigation scheduling for efficient water use is often a challenge for small-scale farmers using drip irrigation. In a trial with 12 farmers in Sébaco, Nicaragua, two tools to facilitate irrigation scheduling were tested: the Water Chart (a table indicating required irrigation doses) and tensiometers. The study aimed at evaluating if and to what extent simple tools can reduce irrigation water use and improve water productivity in drip-irrigated vegetable (beetroot; Beta vulgaris L.) production compared with the farmers’ usual practice. Irrigation water use was substantially reduced (around 20%) when farmers irrigated according to the tools. However, farmers did not fully adhere to the tool guidance, probably because they feared that their crop would not get sufficient water. Thus they still over-irrigated their crop: between 38% and 88% more water than recommended was used during the treatment period, resulting in 91% to 139% higher water use than required over the entire growing cycle. Water productivity of beetroot production was, therefore, much lower (around 3 kg/m3) than what can be achieved under comparable conditions, although yields were decent. Differences in crop yield and water productivity among treatments were not significant. The simplified Water Chart was not sufficiently understandable to farmers (and technicians), whereas tensiometers were better perceived, although they do not provide any indication on how much water to apply. We conclude that innovations such as drip irrigation or improved irrigation scheduling have to be appropriately introduced, e.g., by taking sufficient time to co-produce a common understanding about the technologies and their possible usefulness, and by ensuring adequate follow-up support.


10.29007/qz1w ◽  
2018 ◽  
Author(s):  
Saul Arciniega ◽  
Jose A. Breña-Naranjo ◽  
Adrián Pedrozo-Acuña ◽  
Antonio Hernández-Espriú

Irrigation water use (IWU) or withdrawal is a key component for the water management of a region since it tends to exceed the crops consumptive water use, especially in water-stressed regions where groundwater is the main source of water. Nevertheless, temporal IWU information is missing in many irrigation areas. Remote sensing (RS) data is commonly used for crop water requirements estimations in areas with lack of data, however, IWU is more complex to approach since it also depends on water use efficiency, irrigation system type, irrigation scheduling, and water availability, among others. This work explores the use of remote sensing data (TRMM, MODIS) and land surface hydrological products (GLDAS 2 and MERRA 2) to obtain insights about the space-time annual IWU patterns across croplands located within Mexico’s northeast region. Reported IWU in three irrigation districts (Don Martín, Región Lagunera and Bajo Río Bravo) was used to obtain a functional model using satellite data derived. Results suggest strong relationship between reported IWU with soil moisture content from GLDAS and the maximum annual EVI from MODIS, where a potential regression shown statistical correlations of 0.83 and 0.77, respectively.


2020 ◽  
Vol 63 (5) ◽  
pp. 1207-1215
Author(s):  
Ruixiu Sui ◽  
Susan A. O’Shaughnessy ◽  
Steven R. Evett ◽  
Alejandro Andrade-Rodriguez ◽  
Jonnie Baggard

HighlightsAn Irrigation Scheduling Supervisory Control and Data Acquisition (ISSCADA) system was tested against a soil electrical conductivity (EC) based method for variable-rate irrigation (VRI).Soil EC was used to create irrigation prescription in EC-based VRI.ISSCADA generated VRI prescriptions using canopy temperature, soil water content, and weather data.ISSCADA-based VRI reduced irrigation water use and increased irrigation water productivity.Abstract. Use of variable-rate irrigation (VRI) technology has the potential to improve irrigation water use efficiency (IWUE). VRI hardware is commercially available and can be implemented in any center pivot or lateral move irrigation system. However, practical methods and algorithms for creating VRI prescriptions have become the bottleneck in accelerating the adoption of VRI. An Irrigation Scheduling Supervisory Control and Data Acquisition (ISSCADA) system for VRI was evaluated for two years in a humid region in the Mississippi Delta. The ISSCADA system was used to manage irrigation of soybeans for two seasons. In field practice, the ISSCADA system scanned the field for canopy temperature and collected soil water data from time domain reflectometers and weather data from a nearby weather station. The ISSCADA system automatically generated VRI prescription maps. The maps were modified to include plots managed using soil electrical conductivity (EC) based VRI prescriptions. Test results indicated that there was no difference in crop yield between EC-based VRI and ISSCADA-based VRI management. However, ISSCADA-based VRI management reduced irrigation water use and increased irrigation water productivity in comparison with EC-based VRI. There is great potential for the use of ISSCADA for VRI in humid regions. Keywords: Canopy temperature, Soil electrical conductivity, Soil moisture sensor, Soil water sensor, Soybean, Variable rate irrigation.


AGROFOR ◽  
2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Oumaima ASSOULI ◽  
Hamid EL BILALI ◽  
Aziz ABOUABDILLAH ◽  
Rachid HARBOUZE ◽  
Nabil El JAOUHARI ◽  
...  

Agriculture uses more than 80% of water resources in Morocco. The sector isinefficient in terms of water use due to the dominance of surface irrigation. Toaddress this issue, there have been efforts in Moroccan strategies to convert surfaceirrigation to localized one. This paper analyses the dynamics of conversion fromsurface irrigation to drip irrigation in Fez-Meknes region (north-eastern Morocco)through the lens of the Multi-Level Perspective (MLP) on socio-technicaltransitions. MLP framework suggests that transitions are the results of dialecticinteractions among a niche (cf. novelty of drip irrigation), a regime (cf. traditionalsystem of surface irrigation) and the socio-technical landscape (e.g. policies). MLPwas complemented with a multi-capital approach to better assess transitionimpacts. Results show that the area equipped with drip irrigation in Fez-Meknesregion increased from 2174 ha in 2008 to 39290 ha in 2016. Different programshave been implemented in the framework of the Green Morocco Plan to fosterirrigation transition e.g. the National Irrigation Water Saving Program (PNEEI),launched in 2007, aims to convert 550,000 ha to localized irrigation (e.g. dripirrigation) in 15 years. Thanks to these programs, financial and technical supporthas been provided to farmers to promote the adoption of water-saving irrigationtechniques and practices. Farm-level results show that transition to localizedirrigation decreases irrigation water use, increases yields and profitability (cf. grossmargin per ha), and improves water productivity. Despite an enabling policylandscape and positive transition impacts, surface irrigation is still maintained inthe region and farmers are reluctant to change for many reasons (e.g. age andeducation level, unclear land tenure, financial and administrative difficulties).Efforts are still needed to train farmers on irrigation scheduling and on the use ofsmart irrigation techniques to save water. Further research is required to betterunderstand current bottlenecks in the irrigation transition process and designappropriate and context-specific transition governance strategies.


2005 ◽  
Vol 45 (12) ◽  
pp. 1539 ◽  
Author(s):  
D. J. Watson ◽  
G. Drysdale

The north-east region of Victoria is an important water-harvesting catchment for gravity-fed irrigators downstream of Lake Mulwala. Dairy farmers are significant users of irrigation water in north-east Victoria but little was known about their irrigation practices and attitudes. A survey undertaken in 2000 collected data on irrigation practices and attitudes from 92% of the irrigating dairy farmers in the region. It found diversity in many aspects of irrigation amongst the region’s irrigated dairy farms, ranging from the proportion of the farm irrigated to the irrigation system used, and identified areas where improvements to irrigation practices could be made. More than 8 different irrigation systems were used in the region, and flood irrigation was the most commonly used. However, a large proportion (37%) of flood irrigators were contemplating changing to spray irrigation, mostly to long lateral hand move sprinkler irrigation, in an effort to improve water use efficiency. More than 50% of respondents did not meter irrigation water use, and 83% pumped water directly from rivers or creeks, with dams and dragline holes the next most common sources. Irrigation scheduling (when to start irrigating and the frequency of irrigation thereafter) and the amount of water to apply were generally based on knowledge and experience rather than on soil moisture monitoring equipment or use of evaporation rates. Most survey respondents recognised that their irrigation practices could improve and said that they would be interested in information to help them make more informed decisions about irrigation practices.


2020 ◽  
Vol 63 (1) ◽  
pp. 125-132
Author(s):  
Arjun S. Tayade ◽  
Srinivasavedantham Vasantha ◽  
Raja Arun kumar ◽  
Sheriff Anusha ◽  
Rajesh Kumar ◽  
...  

HighlightsSugarcane hybrids with improved IWUE have greater scope in sugarcane agriculture as irrigation water is getting scarce.Among sugarcane hybrids, Co 8371 registered high mean water productivity of 4.18 kg m-3, followed by Co 85019 (3.92 kg m-3), while in I2, six hybrids had significantly higher water productivity (Co 85019, Co 0212, Co 86249, Co 10026, Co 0218 and Co V92102) above 4 kg m-3.Deficit irrigation scheduling (irrigation at recommended interval, with 50% crop evapotranspiration replacement) appears to be far more useful than reducing frequency as well as quantity of irrigation water alone. Hybrid mean water productivity was 3.2, 2.7, and 2.1 kg m-3 in I0, I1, and I2, respectively.ABSTRACT. The escalating deficit rainfall scenario in India indicates that drought is a recurrent phenomenon associated with tropical sugarcane farming, and the availability of irrigation water for sugarcane cultivation will be much less in coming years. To meet the challenge of limited and costly water supply, tropical sugarcane growers will have to find ways of increasing the efficiency of irrigation to maintain high cane yields. More efficient irrigation systems, accurate irrigation scheduling, and the right choice of sugarcane hybrids are potential means of increasing irrigation water use efficiency (IWUE), water productivity (WP), and global water security. With the objective of optimizing irrigation water use, a field experiment evaluating the physiological efficiency of commercial sugarcane hybrids for WP in a sandy clay soil under water-limited conditions was conducted during 2016-2017 at the ICAR-Sugarcane Breeding Institute in Coimbatore, India. The replicated field experiment was laid out in split-plot design with three irrigation levels as the main plot and 33 sugarcane hybrids as subplots. The prevailing climatic conditions during the experiment represented a tropical wet and dry climate, with the wet season lasting from October to December due to the northeast monsoon. The results showed that full irrigation at recommended intervals with 100% crop evapotranspiration (ET) replacement (I0) produced significantly higher cane yield than deficit irrigation at recommended intervals with 50% crop ET replacement (I1) and skipping alternate irrigations with 50% crop ET replacement (I2). The deficit irrigation treatments (I1 and I2) had declines in cane yield of 41.2% and 56.4%, respectively. IWUE was similar in I0 and I1, while I2 had reduced IWUE by 23%. WP was significantly influenced by irrigation level; reduction in irrigation water reduced WP by 17.5% and 36.3% in I1 and I2 compared to I0. Among sugarcane hybrids, Co 85019, Co 13006, Co 10026, Co 99004, CoLk 8102, Co 86249, Co 8371, Co 94008, and Co 95020 yielded higher than the genotypic mean under both deficit irrigation treatments, suggesting their usefulness in deficit irrigation strategies. Sugarcane hybrids with high WP can play a pivotal role in sustaining sugarcane productivity and can reduce the large volumes of irrigation water consumed in water-scarce tropical India. Thus, considering water security, the implications of the results are of paramount importance in promoting the coordinated development and management of water, land, and related resources to maximize economic benefits and social welfare in an equitable manner without compromising the sustainability of vital ecosystems at local as well as national levels. Keywords: Cane yield, Global water security, Sugarcane, Water-limited condition.


Sign in / Sign up

Export Citation Format

Share Document