SlideShare a Scribd company logo
1 of 7
Download to read offline
Arid Zone Journal of Engineering, Technology and Environment. August, 2016; Vol. 12: 58-64
Copyright © Faculty of Engineering, University of Maiduguri, Nigeria.
Print ISSN: 1596-2490, Electronic ISSN: 2545-5818
www.azojete.com.ng
EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY
OF CHANCHAGA IRRIGATION SCHEME
J. J. Musa1*
, I. H. Mustapha1
, I. Y. Yerima2
, I. A. Kuti1
and M. E. Abogunrin2
(1
Department of Agricultural and Bioresources Engineering, Federal University of Technology, P M B
65, Minna, Nigeria
2
Research Assistant, Department of Agricultural and Bioresources Engineering, Federal University of
Technology, P M B 65, Minna, Nigeria)
*Corresponding author’s e-mail address: johnmusa@futminna.edu.ng
Abstract
Water is an integral issue needed to attain the desired targets but good quality water for irrigation purpose is gradually
become scarce. The seasonal nature of rainfall can give rise to water stress at critical periods of growth. This research
attempts to evaluate the irrigation application efficiency of Chanchaga irrigation scheme, Minna, Niger state. A hand auger
was used to bore to a desired depth to remove samples of the moist soil. Samples of the moist soil removed was placed in a
can, covered and taken to the laboratory. The specific gravity (apparent) of the soil particle and the depth of water applied
were determined using volumetric method, water application efficiency is determined using Gravimetric Method of Soil
Moisture Content (Pw) Determination. The moisture content of the field after irrigation water is applied falls between the
ranges of 51.1% and 51.5%, with an average of 51.28%, in this case the average amount of water applied is about 4.68%,
this shows a little increase in the moisture content of the soil in the field. It was concluded that the efficiency of water
application obtained is adequate and a good result considering the available management practice in terms of system
operation, monitoring and evaluation.
Keyword: Application, efficiency, Irrigation, water, scheme
1. Introduction
Growth in the world population has taken its toll on several activities of which agricultural activities
are not left out. The activities of deforestation and inefficient use of water for productivity have
reduced the availability of water resources (da Silva et al., 2013). Thus, the need for evaluating
irrigation systems which aims at determining its efficiency, uniformity, and adequacy which should be
in line with other performance indicators (Latif and Ahmad, 2008). They further stated that the
performance of the system is usually determined under actual field operating conditions. The desire to
boost agricultural production has called for the genuine need to really appraise an irrigation system in
its entirety with regards to management (Alicia, 2009).
The performance of a farm irrigation system is determined by the efficiency with which water is
diverted, conveyed and applied taking into account the uniformity of application in each field on the
field. Lorenzini and Wrachien (2005) defined a system performance “as the degree to which the
system’s products and services respond to the need of their stakeholders. The performance assessment
should be a regular, short duration process for investigating suspected critical short falls in
performance. The performance indicators are measurable variables that describe the condition of a
system and its changes over time and space (Mayer, 2008; Dumanski and Pieri, 2000).
Musa et al.: Evaluation of irrigation Application Efficiency: A case study of Chanchaga Irrigation
Scheme. AZOJETE, 12:58-64. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
59
Water distribution uniformity and irrigation efficiency have in the recent times become important tools
for the modern day agricultural activities of which Nigeria is not left out. Thus, irrigation systems and
schemes which have higher values of these indicators are considered to be best when compared with
those of lower values. Application efficiency of water on any crop is defined as the ratio between the
amount of water retained in the root zone of the plant and the amount of applied irrigation water hence
the need for an improved use of water for production is important as it has the highest demand for
water (da Silva et al., 2013).
Water is an integral issue needed to attain the desired targets but good quality water for irrigation
purpose is gradually become scarce. The seasonal nature of rainfall can give rise to water stress at
critical periods of growth; thus, irrigation would however, remove the limitations imposed by lack of
rainfall giving room for all year round arable farming and removing the risk of un-seasonal droughts in
the face of escalating global population (Thomas, 2006). As available water resources become scarcer,
more emphasis is given to efficient use of irrigation water for maximum economic return and water
resources sustainability. Rainfall patterns have become increasingly erratic. Optimum crop water
management is thus inevitable if we are to increase and sustain agricultural production for the ever
increasing population (Webster, 2014). This call for supplemental irrigation to provide the deficit in
soil moisture needed for optimum crop growth. This requires appropriate methods of measuring and
evaluating how effectively water is extracted from a water source and used for maximum crop yield.
Inadequate irrigation application results in crop water stress and yield reduction. Excess irrigation
application can result in pollution of water sources due to the loss of plant nutrients through leaching,
runoff and soil erosion. Howell (2008) stated that not much work has been done as regards water
application efficiency which is due to its difficulty in establishing the necessary parameter for the
study (Koumanov et al., 2006). They also identified flow of water below the root zone of a crop as the
major problem.
Irrigation water is also required for field preparation, crop establishment, crop growth and
development, within-season system maintenance, delivery of chemicals, frost protection, and other
uses such as dust control. This study attempts to evaluate the irrigation application efficiency of
Chanchaga irrigation scheme, Minna, Niger state with the objective of determining the depth of water
applied on a research field and deriving the moisture content and specific gravity of the selected field
soil sample required for calculating the efficiency of water application.
2. Materials and Methods
2.1 Description of the Study Area
The Chanchaga Irrigation Scheme, In Minna, Niger State. Niger State is situated in North central part
of the Federal Republic of Nigeria. It lies in the savanna zone of the tropics between latitude 8o
101
N
and 11o
301
Nand longitude 30o
301
E. Its climate is influenced mainly by the rain-bearing South West
winds from the oceans and the dry dusty or harmattan North East winds (air masses) from the Sahara
Desert. There are mainly the rainy and the dry seasons. The rainy season begins in April and ends in
October and the dry season starts in October /November and ends March. The mean monthly rainfall
record from 1998 to 2006 ranges from 0.57mm to 215.1mm with February/March is having the
minimum and September having the maximum occurrence.
Arid Zone Journal of Engineering, Technology and Environment, August, 2016; Vol. 12: 58-64.
ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
60
2.2 Sample Collection
A hand auger was used to bore to varying depth; 0-20cm, 20-50cm and 50-100cm to remove samples
of the moist soil. Samples of the moist soil removed was placed in a can, covered and taken to the
laboratory. The samples were weighed and oven dried. The moisture content was determined using the
mathematical formula stated below:
Therefore, Moisture content Pw (1)
where: X1 is weight of moist soil (g), X2 is weight of water-free soil after drying (g), (X1 - X2) = X3 is
loss of weight in drying (g).
The amount of moisture was converted to volume percentages Pv as follows:
Pv = PwAs (2)
where: As is apparent specific gravity of the soil (which varies based on the soil textural
classification). The computed moisture was converted to depth of water in order for the values to be
used in accordance with Equation 2. Moisture content of the soil on depth basis was obtained by
multiplying the volume percentage (Pv) by the depth of soil (D) removed by the auger.
Thus,
(3)
where: d is depth of water before and after irrigation corresponding to W1 and W2 as explained
initially, Pw, As and D assumed meanings defined in the preceding sections.
2.3 Determination of Water Application
Gravimetric method of measurement was used to determine the moisture content of the various
samples collected from the various locations to determine the application efficiency of the irrigation
scheme.
The soil moisture content was expressed by weight as the ratio of the mass of water present to the dry
weight of the soil sample. Another method of ratio of volume of water to the total volume of the soil
sample was also used. The soil samples were dried to a constant weight before and after measurement.
The weight of water is the difference between the weights of the wet and oven dry samples at 1050
until a constant weight of the sample is achieved.
2.4 Determination of Water Application Efficiency Using Field Data
For water application, various samples of soil were collected and taken to the laboratory for the
determination of soil moisture content using an oven drying, heating to a temperature of 105o
C;
samples were kept in the oven for about 72 hours. Moisture content percentage values are converted to
depth units to enhance their use in the efficiency of water application equation (Egharevba, 2009).
Water application efficiency for the study area was determined and evaluated using field data by
Musa et al.: Evaluation of irrigation Application Efficiency: A case study of Chanchaga Irrigation
Scheme. AZOJETE, 12:58-64. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
61
(4)
where: Ea = application efficiency of water (%), W2 = Depth of water in the soil after irrigation (cm),
W1 = Depth of water in the soil before irrigation (cm), n = Number of days between sampling dates
(days or hours), Et = Consumptive use or Evapotranspiration expressed (mm/day) and Wa = depth of
water applied (cm)
2.5 Determination of Depth of Water (Wa) Applied on the Field (Basin)
2.5.1 Volume Method
Known volume of water (15 liters) was siphoned through a pipe of 50mm diameter and the time taken
for water to be dispensed was recorded.
Average Time in seconds was 6.4 s
Discharge rate (Q) = = = 0.0023m3
/s
Total time taken to fill or flood one basin by the siphon was two minutes, forty-three seconds (i.e 2.43
minutes).
Area of Basin = = 6.0m2
(5)
QxT =
Therefore, ( )
3. Results and Discussion
3.1 Results
The results of the various soil samples analyzed for moisture content before and after the experiment
are presented in Tables 1 and 2 respectively. Table 3 shows the values of the efficiencies at different
moisture contents.
Table 1: Values of the soil samples; Moist and dried with their corresponding Moisture content (%)
(Before Irrigation)
S/No Moist Weight
(W1)g
Dried Weight
(W2)g
Moisture Removed
(W1 - W2)g
Moisture Content
(%)
1. 230.89 157.39 73.5 46.7
2. 186.83 127.53 59.3 46.5
3. 277.34 189.44 87.9 46.4
4. 262.86 179.06 83.8 46.8
5. 205.74 140.34 65.4 46.6
Arid Zone Journal of Engineering, Technology and Environment, August, 2016; Vol. 12: 58-64.
ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
62
Table 2: Values of the soil samples; Moist and dried with their corresponding Moisture content (%)
(After Irrigation)
S/No Moist Weight
(W1)g
Dried Weight
(W2)g
Moisture Removed
(W1 - W2)g
Moisture Content
(%)
1. 283.28 187.48 95.8 51.1
2. 251.81 166.21 85.6 51.5
3. 272.28 180.08 92.2 51.2
4. 254.20 167.90 86.3 51.4
5. 230.05 152.15 77.9 51.2
Table 3: Values of Moisture Content (%) with Corresponding Values in Depth Units and Calculated
Efficiency of Water Application (EA)
S/N
Before irrigation After irrigation Efficiency of
application
(Ea) %
M.C % Depth (mm) M.C % Depth (mm)
1 46.7 183.53 51.1 200.82 65.1
2 46.5 182.75 51.5 202.40 68.6
3 46.4 182.35 51.2 201.22 67.5
4 46.8 183.92 51.4 202.00 66.3
5 46.6 183.14 51.2 201.22 66.3
3.2 Discussion
The moisture content of the soil in the irrigation field before irrigation fell between the ranges of
46.4% and 46.8%, with an average of 46.6% which showed that the field had reasonable moisture
content as of the time of this study. Also the moisture content of the field under irrigation after
irrigation water was applied fell between the ranges of 51.1% and 51.5%, with an average of 51.28%,
in this case the average amount of water applied was about 4.68%, showing a little increase in the
moisture content of the soil in the field.
Results of water application efficiency obtained are affected adversely by some factors since
efficiency of water application in the field on the farm is largely dependent on the irrigation system
and on the skill of the farmer (the person managing and controlling the operation). In the evaluation of
the water application efficiency through the gravimetric method of soil moisture content
determination, it must be stated that in the course of collecting soil sample and how it was
subsequently taken to the laboratory. The depth of water applied in irrigation is a dominant factor in
analyzing efficiency of application. Even if the water is spread uniformly over the farm or field,
excessive depth of application could result in low efficiency and more importantly, counter objective.
To reduce this problem to a minimum, drip irrigation systems are supposed to be employed for direct
application of water to the various root zones of the crops planted. The calculated average value of
water application efficiency based on the results obtained was 66.76%; this value indicates that about
33.24% of water applied was lost.
Musa et al.: Evaluation of irrigation Application Efficiency: A case study of Chanchaga Irrigation
Scheme. AZOJETE, 12:58-64. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
63
Conclusions
The information on the efficiency of water management at the point of application is considered
generally of paramount importance for an effective irrigation system management. The results
obtained in this investigation could attest to this assertion. Water application efficiency increased with
increase in moisture content after irrigation. The values obtained were adequate and indeed a good
when the available management practice are considered in terms of system operation, monitoring and
evaluation.
References
Burt, CM., Clemmens, AJ., Strelkoff, TS., Solomon, KH., Bliesner, RD., Hardy, LA., Howell, TA.,
and Eisenhauer, DE. 1997. Irrigation performance measures: Efficiency and uniformity. Journal of
Irrigation and Drainage Engineering, 123(6): 423 – 442.
da Silva, AJP., Coelho, EF. and de Miranda, JH. 2013. Efficiency of water application of irrigation
systems based on microsprinkling in banana plantations. Scientific Agriculture, 70(3): 139-146.
Dumanski, J. and Pieri, C. 2000. Land quality indicators: research plan. Agriculture, Ecosystems and
Environment, 81(2): 93–102. http://dx.doi.org/10.1016/S0167-8809(00)00183-3.
Egharevba, NA. 2009. Irrigation and Drainage Engineering (Principles, Design, and Practices).
Department of Agricultural and Bioresources Engineering, Federal University of Technology Minna,
Nigeria, pp 24-32.
Fernández-Cirelli, A., Arumí, JL., Rivera, D. and Boochs, PW. 2009. Environmental Effects of
Irrigation in Arid and Semi-arid Regions. Chilean Journal of Agricultural Research 69 (suppl. 1):27-
40.
Howell, TA. 2008. Addressing the world water crisis. ASABE Resource Magazine, 15: 5-8.
Koumanov, KS., Hopmans, JW. and Schwankl, LJ. 2006. Spatial and temporal distribution of root
water uptake of an almond tree under microsprinkler irrigation. Irrigation Science, 24: 267-278.
Latif, M. and Ahmad, F. 2008. Operational analysis of water application of a sprinkler irrigation
system installed in a Golf Course: Case Study. Journal of Irrigation and Drainage Engineering, 134
(4): 446-453.
Lorenzini, G. and Wrachien, DD. 2005. Performance assessment of sprinkler irrigation systems: A
new indicator for spray evaporation losses. Irrigation and Drainage, 54: 295–305.
Mayer, AL. 2008. Strengths and weaknesses of common sustainability indices for multidimensional
systems. Environment International, 34(2): 277–291.
Arid Zone Journal of Engineering, Technology and Environment, August, 2016; Vol. 12: 58-64.
ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
64
Pereira, LS. 1999. Higher performance through combined improvements in irrigation methods and
scheduling: A discussion. Agricultural Water Management, 40 (2): 153 – 169.
Playan E. and Mateos L. 2006. Modernization and optimization of irrigation system to increase water
productivity. Agricultural Water Management, 80:100-116.
Thomas N., Stéphane B., Françoise L. and Robert H. 2006. Survey-based analysis of irrigation and N
fertilisation practices in apple orchards. Agronomy for Sustainable Development, 26: 215–225.
Webster, TP. 2014. Extension Engineer; Irrigation system types and typical applications, ACAE Pub
No 32, AGDEX. No. 563.

More Related Content

What's hot

estimation of irrigation requirement using remote sensing
estimation of irrigation requirement using remote sensingestimation of irrigation requirement using remote sensing
estimation of irrigation requirement using remote sensingNayan Rao
 
estimation of irrigation requirement using remote sensing
estimation of irrigation requirement using remote sensingestimation of irrigation requirement using remote sensing
estimation of irrigation requirement using remote sensingNayan Rao
 
groundwater geocarto paper
groundwater geocarto papergroundwater geocarto paper
groundwater geocarto paperSreedhar Ganapuram
 
An Integrative Decision Support System for Managing Water Resources under Inc...
An Integrative Decision Support System for Managing Water Resources under Inc...An Integrative Decision Support System for Managing Water Resources under Inc...
An Integrative Decision Support System for Managing Water Resources under Inc...National Institute of Food and Agriculture
 
IRJET- Evaluation of Furrow Irrigation Systems on Onion Yield and Water U...
IRJET-  	  Evaluation of Furrow Irrigation Systems on Onion Yield and Water U...IRJET-  	  Evaluation of Furrow Irrigation Systems on Onion Yield and Water U...
IRJET- Evaluation of Furrow Irrigation Systems on Onion Yield and Water U...IRJET Journal
 
Using Hydrologic and Hydraulic Modeling Water Flow Simulation in Metamorphic ...
Using Hydrologic and Hydraulic Modeling Water Flow Simulation in Metamorphic ...Using Hydrologic and Hydraulic Modeling Water Flow Simulation in Metamorphic ...
Using Hydrologic and Hydraulic Modeling Water Flow Simulation in Metamorphic ...AM Publications
 
Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...eSAT Publishing House
 
Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...eSAT Journals
 
Fate of Chemicals of Emerging Concern in Agroecosystems Amended with Animal M...
Fate of Chemicals of Emerging Concern in Agroecosystems Amended with Animal M...Fate of Chemicals of Emerging Concern in Agroecosystems Amended with Animal M...
Fate of Chemicals of Emerging Concern in Agroecosystems Amended with Animal M...National Institute of Food and Agriculture
 
Water and soil quality aspects of nelligudde reservoir catchment and command ...
Water and soil quality aspects of nelligudde reservoir catchment and command ...Water and soil quality aspects of nelligudde reservoir catchment and command ...
Water and soil quality aspects of nelligudde reservoir catchment and command ...eSAT Publishing House
 
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...IRJET Journal
 
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...IRJET Journal
 
EVALUATION OF GROUNDWATER QUALITY OF VAIPPAR BASIN, TAMIL NADU, INDIA: A GEOI...
EVALUATION OF GROUNDWATER QUALITY OF VAIPPAR BASIN, TAMIL NADU, INDIA: A GEOI...EVALUATION OF GROUNDWATER QUALITY OF VAIPPAR BASIN, TAMIL NADU, INDIA: A GEOI...
EVALUATION OF GROUNDWATER QUALITY OF VAIPPAR BASIN, TAMIL NADU, INDIA: A GEOI...SagarChougule11
 
An Integrative Decision Support System for Managing Water Resources under Inc...
An Integrative Decision Support System for Managing Water Resources under Inc...An Integrative Decision Support System for Managing Water Resources under Inc...
An Integrative Decision Support System for Managing Water Resources under Inc...National Institute of Food and Agriculture
 
Multi-Scale Investigation of Winter Runoff and Nutrient Loss Processes in Ac...
 Multi-Scale Investigation of Winter Runoff and Nutrient Loss Processes in Ac... Multi-Scale Investigation of Winter Runoff and Nutrient Loss Processes in Ac...
Multi-Scale Investigation of Winter Runoff and Nutrient Loss Processes in Ac...National Institute of Food and Agriculture
 

What's hot (17)

estimation of irrigation requirement using remote sensing
estimation of irrigation requirement using remote sensingestimation of irrigation requirement using remote sensing
estimation of irrigation requirement using remote sensing
 
Es31954961
Es31954961Es31954961
Es31954961
 
estimation of irrigation requirement using remote sensing
estimation of irrigation requirement using remote sensingestimation of irrigation requirement using remote sensing
estimation of irrigation requirement using remote sensing
 
groundwater geocarto paper
groundwater geocarto papergroundwater geocarto paper
groundwater geocarto paper
 
An Integrative Decision Support System for Managing Water Resources under Inc...
An Integrative Decision Support System for Managing Water Resources under Inc...An Integrative Decision Support System for Managing Water Resources under Inc...
An Integrative Decision Support System for Managing Water Resources under Inc...
 
IRJET- Evaluation of Furrow Irrigation Systems on Onion Yield and Water U...
IRJET-  	  Evaluation of Furrow Irrigation Systems on Onion Yield and Water U...IRJET-  	  Evaluation of Furrow Irrigation Systems on Onion Yield and Water U...
IRJET- Evaluation of Furrow Irrigation Systems on Onion Yield and Water U...
 
Using Hydrologic and Hydraulic Modeling Water Flow Simulation in Metamorphic ...
Using Hydrologic and Hydraulic Modeling Water Flow Simulation in Metamorphic ...Using Hydrologic and Hydraulic Modeling Water Flow Simulation in Metamorphic ...
Using Hydrologic and Hydraulic Modeling Water Flow Simulation in Metamorphic ...
 
Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...
 
Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...
 
Fate of Chemicals of Emerging Concern in Agroecosystems Amended with Animal M...
Fate of Chemicals of Emerging Concern in Agroecosystems Amended with Animal M...Fate of Chemicals of Emerging Concern in Agroecosystems Amended with Animal M...
Fate of Chemicals of Emerging Concern in Agroecosystems Amended with Animal M...
 
Water and soil quality aspects of nelligudde reservoir catchment and command ...
Water and soil quality aspects of nelligudde reservoir catchment and command ...Water and soil quality aspects of nelligudde reservoir catchment and command ...
Water and soil quality aspects of nelligudde reservoir catchment and command ...
 
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
 
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
 
Understanding the Impact of Beef Grazing on Climate Change
Understanding the Impact of Beef Grazing on Climate ChangeUnderstanding the Impact of Beef Grazing on Climate Change
Understanding the Impact of Beef Grazing on Climate Change
 
EVALUATION OF GROUNDWATER QUALITY OF VAIPPAR BASIN, TAMIL NADU, INDIA: A GEOI...
EVALUATION OF GROUNDWATER QUALITY OF VAIPPAR BASIN, TAMIL NADU, INDIA: A GEOI...EVALUATION OF GROUNDWATER QUALITY OF VAIPPAR BASIN, TAMIL NADU, INDIA: A GEOI...
EVALUATION OF GROUNDWATER QUALITY OF VAIPPAR BASIN, TAMIL NADU, INDIA: A GEOI...
 
An Integrative Decision Support System for Managing Water Resources under Inc...
An Integrative Decision Support System for Managing Water Resources under Inc...An Integrative Decision Support System for Managing Water Resources under Inc...
An Integrative Decision Support System for Managing Water Resources under Inc...
 
Multi-Scale Investigation of Winter Runoff and Nutrient Loss Processes in Ac...
 Multi-Scale Investigation of Winter Runoff and Nutrient Loss Processes in Ac... Multi-Scale Investigation of Winter Runoff and Nutrient Loss Processes in Ac...
Multi-Scale Investigation of Winter Runoff and Nutrient Loss Processes in Ac...
 

Similar to Evaluation of Irrigation Application Efficiency: Case Study of Chanchaga Irrigation Scheme

3. article azojete vol 10 25 39 ismail
3. article azojete vol 10 25 39 ismail3. article azojete vol 10 25 39 ismail
3. article azojete vol 10 25 39 ismailOyeniyi Samuel
 
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...IRJET Journal
 
Research paper Pressur tube emmiter Anlaysis ofmicrotube emitter of trickle...
Research paper Pressur tube emmiter Anlaysis ofmicrotube   emitter of trickle...Research paper Pressur tube emmiter Anlaysis ofmicrotube   emitter of trickle...
Research paper Pressur tube emmiter Anlaysis ofmicrotube emitter of trickle...Col Islam Ul Haq
 
Improving Irrigation Water Management in Delta of Egypt
Improving Irrigation Water Management in Delta of EgyptImproving Irrigation Water Management in Delta of Egypt
Improving Irrigation Water Management in Delta of EgyptIOSR Journals
 
Effect of Magnetic Treatment of Water on Evapotranspiration of Tomato
Effect of Magnetic Treatment of Water on Evapotranspiration of TomatoEffect of Magnetic Treatment of Water on Evapotranspiration of Tomato
Effect of Magnetic Treatment of Water on Evapotranspiration of TomatoAZOJETE UNIMAID
 
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...iosrjce
 
Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...
Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...
Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...ijsrd.com
 
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...IRJET Journal
 
Growing Okra with Drip Fertigation- A Review
Growing Okra with Drip Fertigation- A ReviewGrowing Okra with Drip Fertigation- A Review
Growing Okra with Drip Fertigation- A Reviewinventionjournals
 
Estimation of Crop water Requirement for Kolar Taluk Sub watershed
Estimation of Crop water Requirement for Kolar Taluk Sub watershed Estimation of Crop water Requirement for Kolar Taluk Sub watershed
Estimation of Crop water Requirement for Kolar Taluk Sub watershed Mohammed Badiuddin Parvez
 
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVERHYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVERIRJET Journal
 
Data Preparation for Assessing Impact of Climate Change on Groundwater Recharge
Data Preparation for Assessing Impact of Climate Change on Groundwater RechargeData Preparation for Assessing Impact of Climate Change on Groundwater Recharge
Data Preparation for Assessing Impact of Climate Change on Groundwater RechargeAM Publications
 
Coupling of Surface water and Groundwater Models
Coupling of Surface water and Groundwater Models Coupling of Surface water and Groundwater Models
Coupling of Surface water and Groundwater Models TIPU SULTAN BADAGAN
 
Factors influencing rice production in the Lwafi-katongolo irrigation scheme:...
Factors influencing rice production in the Lwafi-katongolo irrigation scheme:...Factors influencing rice production in the Lwafi-katongolo irrigation scheme:...
Factors influencing rice production in the Lwafi-katongolo irrigation scheme:...Open Access Research Paper
 
A review on use of sea water & solar power for agricultural purpose in co...
A review on use of sea water & solar power for agricultural purpose in co...A review on use of sea water & solar power for agricultural purpose in co...
A review on use of sea water & solar power for agricultural purpose in co...pradip patel
 
443047949-Rain-water-Harvesting-Project-Report-docx.docx
443047949-Rain-water-Harvesting-Project-Report-docx.docx443047949-Rain-water-Harvesting-Project-Report-docx.docx
443047949-Rain-water-Harvesting-Project-Report-docx.docxParthNanu
 

Similar to Evaluation of Irrigation Application Efficiency: Case Study of Chanchaga Irrigation Scheme (20)

3. article azojete vol 10 25 39 ismail
3. article azojete vol 10 25 39 ismail3. article azojete vol 10 25 39 ismail
3. article azojete vol 10 25 39 ismail
 
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
 
Research paper Pressur tube emmiter Anlaysis ofmicrotube emitter of trickle...
Research paper Pressur tube emmiter Anlaysis ofmicrotube   emitter of trickle...Research paper Pressur tube emmiter Anlaysis ofmicrotube   emitter of trickle...
Research paper Pressur tube emmiter Anlaysis ofmicrotube emitter of trickle...
 
Improving Irrigation Water Management in Delta of Egypt
Improving Irrigation Water Management in Delta of EgyptImproving Irrigation Water Management in Delta of Egypt
Improving Irrigation Water Management in Delta of Egypt
 
Effect of Magnetic Treatment of Water on Evapotranspiration of Tomato
Effect of Magnetic Treatment of Water on Evapotranspiration of TomatoEffect of Magnetic Treatment of Water on Evapotranspiration of Tomato
Effect of Magnetic Treatment of Water on Evapotranspiration of Tomato
 
J012415965
J012415965J012415965
J012415965
 
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
 
H012615560
H012615560H012615560
H012615560
 
Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...
Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...
Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...
 
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
 
Growing Okra with Drip Fertigation- A Review
Growing Okra with Drip Fertigation- A ReviewGrowing Okra with Drip Fertigation- A Review
Growing Okra with Drip Fertigation- A Review
 
Estimation of Crop water Requirement for Kolar Taluk Sub watershed
Estimation of Crop water Requirement for Kolar Taluk Sub watershed Estimation of Crop water Requirement for Kolar Taluk Sub watershed
Estimation of Crop water Requirement for Kolar Taluk Sub watershed
 
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVERHYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
 
Data Preparation for Assessing Impact of Climate Change on Groundwater Recharge
Data Preparation for Assessing Impact of Climate Change on Groundwater RechargeData Preparation for Assessing Impact of Climate Change on Groundwater Recharge
Data Preparation for Assessing Impact of Climate Change on Groundwater Recharge
 
Coupling of Surface water and Groundwater Models
Coupling of Surface water and Groundwater Models Coupling of Surface water and Groundwater Models
Coupling of Surface water and Groundwater Models
 
20320130405012 2
20320130405012 220320130405012 2
20320130405012 2
 
Factors influencing rice production in the Lwafi-katongolo irrigation scheme:...
Factors influencing rice production in the Lwafi-katongolo irrigation scheme:...Factors influencing rice production in the Lwafi-katongolo irrigation scheme:...
Factors influencing rice production in the Lwafi-katongolo irrigation scheme:...
 
Landscape agro-hydrological modeling: opportunities from remote sensing
Landscape agro-hydrological modeling: opportunities from remote sensingLandscape agro-hydrological modeling: opportunities from remote sensing
Landscape agro-hydrological modeling: opportunities from remote sensing
 
A review on use of sea water & solar power for agricultural purpose in co...
A review on use of sea water & solar power for agricultural purpose in co...A review on use of sea water & solar power for agricultural purpose in co...
A review on use of sea water & solar power for agricultural purpose in co...
 
443047949-Rain-water-Harvesting-Project-Report-docx.docx
443047949-Rain-water-Harvesting-Project-Report-docx.docx443047949-Rain-water-Harvesting-Project-Report-docx.docx
443047949-Rain-water-Harvesting-Project-Report-docx.docx
 

More from AZOJETE UNIMAID

Turbidity and Colour Reduction of Pond Water Using Extracts of Diospyros mesp...
Turbidity and Colour Reduction of Pond Water Using Extracts of Diospyros mesp...Turbidity and Colour Reduction of Pond Water Using Extracts of Diospyros mesp...
Turbidity and Colour Reduction of Pond Water Using Extracts of Diospyros mesp...AZOJETE UNIMAID
 
Phyto-Chemical Screening and Antibacterial Activities of Aqueous Extracts of ...
Phyto-Chemical Screening and Antibacterial Activities of Aqueous Extracts of ...Phyto-Chemical Screening and Antibacterial Activities of Aqueous Extracts of ...
Phyto-Chemical Screening and Antibacterial Activities of Aqueous Extracts of ...AZOJETE UNIMAID
 
Sedimentology and Paleoenvironment of Deposition of the Deba-Fulani Member of...
Sedimentology and Paleoenvironment of Deposition of the Deba-Fulani Member of...Sedimentology and Paleoenvironment of Deposition of the Deba-Fulani Member of...
Sedimentology and Paleoenvironment of Deposition of the Deba-Fulani Member of...AZOJETE UNIMAID
 
Characterisation of Natural Moulding Sands from selected Deposits in Maidugur...
Characterisation of Natural Moulding Sands from selected Deposits in Maidugur...Characterisation of Natural Moulding Sands from selected Deposits in Maidugur...
Characterisation of Natural Moulding Sands from selected Deposits in Maidugur...AZOJETE UNIMAID
 
Statistical Modelling of the Energy Content of Municipal Solid Wastes in Nort...
Statistical Modelling of the Energy Content of Municipal Solid Wastes in Nort...Statistical Modelling of the Energy Content of Municipal Solid Wastes in Nort...
Statistical Modelling of the Energy Content of Municipal Solid Wastes in Nort...AZOJETE UNIMAID
 
Development of Wind Operated Passive Evaporative Cooling Structures for Stora...
Development of Wind Operated Passive Evaporative Cooling Structures for Stora...Development of Wind Operated Passive Evaporative Cooling Structures for Stora...
Development of Wind Operated Passive Evaporative Cooling Structures for Stora...AZOJETE UNIMAID
 
Development and Performance Evaluation of a Re-Circulatory Vegetable Moisturizer
Development and Performance Evaluation of a Re-Circulatory Vegetable MoisturizerDevelopment and Performance Evaluation of a Re-Circulatory Vegetable Moisturizer
Development and Performance Evaluation of a Re-Circulatory Vegetable MoisturizerAZOJETE UNIMAID
 
Optimization of some mineral contents of dried osmo-pretreated green bell pep...
Optimization of some mineral contents of dried osmo-pretreated green bell pep...Optimization of some mineral contents of dried osmo-pretreated green bell pep...
Optimization of some mineral contents of dried osmo-pretreated green bell pep...AZOJETE UNIMAID
 
Preliminary Study on the Characterization of oil from Nurse tetra (Brycinus n...
Preliminary Study on the Characterization of oil from Nurse tetra (Brycinus n...Preliminary Study on the Characterization of oil from Nurse tetra (Brycinus n...
Preliminary Study on the Characterization of oil from Nurse tetra (Brycinus n...AZOJETE UNIMAID
 
Development of an Electrically Operated Cassava Peeling and Slicing Machine
Development of an Electrically Operated Cassava Peeling and Slicing MachineDevelopment of an Electrically Operated Cassava Peeling and Slicing Machine
Development of an Electrically Operated Cassava Peeling and Slicing MachineAZOJETE UNIMAID
 
Investigating the bacterial inactivation potential of purified okra (Hibiscus...
Investigating the bacterial inactivation potential of purified okra (Hibiscus...Investigating the bacterial inactivation potential of purified okra (Hibiscus...
Investigating the bacterial inactivation potential of purified okra (Hibiscus...AZOJETE UNIMAID
 
Performance Evaluation of a Developed Grain Milling Machine
Performance Evaluation of a Developed Grain Milling MachinePerformance Evaluation of a Developed Grain Milling Machine
Performance Evaluation of a Developed Grain Milling MachineAZOJETE UNIMAID
 
Numerical Predictions of Enhanced Impingement Jet Cooling with Ribs and Pins ...
Numerical Predictions of Enhanced Impingement Jet Cooling with Ribs and Pins ...Numerical Predictions of Enhanced Impingement Jet Cooling with Ribs and Pins ...
Numerical Predictions of Enhanced Impingement Jet Cooling with Ribs and Pins ...AZOJETE UNIMAID
 
Characterization of Leachate Contaminants from Waste Dumpsites in Maiduguri, ...
Characterization of Leachate Contaminants from Waste Dumpsites in Maiduguri, ...Characterization of Leachate Contaminants from Waste Dumpsites in Maiduguri, ...
Characterization of Leachate Contaminants from Waste Dumpsites in Maiduguri, ...AZOJETE UNIMAID
 
Moisture Dependence of Physical Properties and Specific Heat Capacity of Neem...
Moisture Dependence of Physical Properties and Specific Heat Capacity of Neem...Moisture Dependence of Physical Properties and Specific Heat Capacity of Neem...
Moisture Dependence of Physical Properties and Specific Heat Capacity of Neem...AZOJETE UNIMAID
 
Assessment of Groundwater Quality in Ilorin, North Central Nigeria
Assessment of Groundwater Quality in Ilorin, North Central NigeriaAssessment of Groundwater Quality in Ilorin, North Central Nigeria
Assessment of Groundwater Quality in Ilorin, North Central NigeriaAZOJETE UNIMAID
 
MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...
MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...
MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...AZOJETE UNIMAID
 
Design and Fabrication of an Anaerobic Digester
Design and Fabrication of an Anaerobic DigesterDesign and Fabrication of an Anaerobic Digester
Design and Fabrication of an Anaerobic DigesterAZOJETE UNIMAID
 
Material Recovery from Wastes: An Employment and Poverty Alleviation Tool
Material Recovery from Wastes: An Employment and Poverty Alleviation ToolMaterial Recovery from Wastes: An Employment and Poverty Alleviation Tool
Material Recovery from Wastes: An Employment and Poverty Alleviation ToolAZOJETE UNIMAID
 
Effects of Tillage methods on some soil physical properties, growth and yield...
Effects of Tillage methods on some soil physical properties, growth and yield...Effects of Tillage methods on some soil physical properties, growth and yield...
Effects of Tillage methods on some soil physical properties, growth and yield...AZOJETE UNIMAID
 

More from AZOJETE UNIMAID (20)

Turbidity and Colour Reduction of Pond Water Using Extracts of Diospyros mesp...
Turbidity and Colour Reduction of Pond Water Using Extracts of Diospyros mesp...Turbidity and Colour Reduction of Pond Water Using Extracts of Diospyros mesp...
Turbidity and Colour Reduction of Pond Water Using Extracts of Diospyros mesp...
 
Phyto-Chemical Screening and Antibacterial Activities of Aqueous Extracts of ...
Phyto-Chemical Screening and Antibacterial Activities of Aqueous Extracts of ...Phyto-Chemical Screening and Antibacterial Activities of Aqueous Extracts of ...
Phyto-Chemical Screening and Antibacterial Activities of Aqueous Extracts of ...
 
Sedimentology and Paleoenvironment of Deposition of the Deba-Fulani Member of...
Sedimentology and Paleoenvironment of Deposition of the Deba-Fulani Member of...Sedimentology and Paleoenvironment of Deposition of the Deba-Fulani Member of...
Sedimentology and Paleoenvironment of Deposition of the Deba-Fulani Member of...
 
Characterisation of Natural Moulding Sands from selected Deposits in Maidugur...
Characterisation of Natural Moulding Sands from selected Deposits in Maidugur...Characterisation of Natural Moulding Sands from selected Deposits in Maidugur...
Characterisation of Natural Moulding Sands from selected Deposits in Maidugur...
 
Statistical Modelling of the Energy Content of Municipal Solid Wastes in Nort...
Statistical Modelling of the Energy Content of Municipal Solid Wastes in Nort...Statistical Modelling of the Energy Content of Municipal Solid Wastes in Nort...
Statistical Modelling of the Energy Content of Municipal Solid Wastes in Nort...
 
Development of Wind Operated Passive Evaporative Cooling Structures for Stora...
Development of Wind Operated Passive Evaporative Cooling Structures for Stora...Development of Wind Operated Passive Evaporative Cooling Structures for Stora...
Development of Wind Operated Passive Evaporative Cooling Structures for Stora...
 
Development and Performance Evaluation of a Re-Circulatory Vegetable Moisturizer
Development and Performance Evaluation of a Re-Circulatory Vegetable MoisturizerDevelopment and Performance Evaluation of a Re-Circulatory Vegetable Moisturizer
Development and Performance Evaluation of a Re-Circulatory Vegetable Moisturizer
 
Optimization of some mineral contents of dried osmo-pretreated green bell pep...
Optimization of some mineral contents of dried osmo-pretreated green bell pep...Optimization of some mineral contents of dried osmo-pretreated green bell pep...
Optimization of some mineral contents of dried osmo-pretreated green bell pep...
 
Preliminary Study on the Characterization of oil from Nurse tetra (Brycinus n...
Preliminary Study on the Characterization of oil from Nurse tetra (Brycinus n...Preliminary Study on the Characterization of oil from Nurse tetra (Brycinus n...
Preliminary Study on the Characterization of oil from Nurse tetra (Brycinus n...
 
Development of an Electrically Operated Cassava Peeling and Slicing Machine
Development of an Electrically Operated Cassava Peeling and Slicing MachineDevelopment of an Electrically Operated Cassava Peeling and Slicing Machine
Development of an Electrically Operated Cassava Peeling and Slicing Machine
 
Investigating the bacterial inactivation potential of purified okra (Hibiscus...
Investigating the bacterial inactivation potential of purified okra (Hibiscus...Investigating the bacterial inactivation potential of purified okra (Hibiscus...
Investigating the bacterial inactivation potential of purified okra (Hibiscus...
 
Performance Evaluation of a Developed Grain Milling Machine
Performance Evaluation of a Developed Grain Milling MachinePerformance Evaluation of a Developed Grain Milling Machine
Performance Evaluation of a Developed Grain Milling Machine
 
Numerical Predictions of Enhanced Impingement Jet Cooling with Ribs and Pins ...
Numerical Predictions of Enhanced Impingement Jet Cooling with Ribs and Pins ...Numerical Predictions of Enhanced Impingement Jet Cooling with Ribs and Pins ...
Numerical Predictions of Enhanced Impingement Jet Cooling with Ribs and Pins ...
 
Characterization of Leachate Contaminants from Waste Dumpsites in Maiduguri, ...
Characterization of Leachate Contaminants from Waste Dumpsites in Maiduguri, ...Characterization of Leachate Contaminants from Waste Dumpsites in Maiduguri, ...
Characterization of Leachate Contaminants from Waste Dumpsites in Maiduguri, ...
 
Moisture Dependence of Physical Properties and Specific Heat Capacity of Neem...
Moisture Dependence of Physical Properties and Specific Heat Capacity of Neem...Moisture Dependence of Physical Properties and Specific Heat Capacity of Neem...
Moisture Dependence of Physical Properties and Specific Heat Capacity of Neem...
 
Assessment of Groundwater Quality in Ilorin, North Central Nigeria
Assessment of Groundwater Quality in Ilorin, North Central NigeriaAssessment of Groundwater Quality in Ilorin, North Central Nigeria
Assessment of Groundwater Quality in Ilorin, North Central Nigeria
 
MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...
MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...
MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregula...
 
Design and Fabrication of an Anaerobic Digester
Design and Fabrication of an Anaerobic DigesterDesign and Fabrication of an Anaerobic Digester
Design and Fabrication of an Anaerobic Digester
 
Material Recovery from Wastes: An Employment and Poverty Alleviation Tool
Material Recovery from Wastes: An Employment and Poverty Alleviation ToolMaterial Recovery from Wastes: An Employment and Poverty Alleviation Tool
Material Recovery from Wastes: An Employment and Poverty Alleviation Tool
 
Effects of Tillage methods on some soil physical properties, growth and yield...
Effects of Tillage methods on some soil physical properties, growth and yield...Effects of Tillage methods on some soil physical properties, growth and yield...
Effects of Tillage methods on some soil physical properties, growth and yield...
 

Recently uploaded

(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escortsranjana rawat
 
power system scada applications and uses
power system scada applications and usespower system scada applications and uses
power system scada applications and usesDevarapalliHaritha
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.eptoze12
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learningmisbanausheenparvam
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2RajaP95
 

Recently uploaded (20)

young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
 
power system scada applications and uses
power system scada applications and usespower system scada applications and uses
power system scada applications and uses
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
 

Evaluation of Irrigation Application Efficiency: Case Study of Chanchaga Irrigation Scheme

  • 1. Arid Zone Journal of Engineering, Technology and Environment. August, 2016; Vol. 12: 58-64 Copyright © Faculty of Engineering, University of Maiduguri, Nigeria. Print ISSN: 1596-2490, Electronic ISSN: 2545-5818 www.azojete.com.ng EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRIGATION SCHEME J. J. Musa1* , I. H. Mustapha1 , I. Y. Yerima2 , I. A. Kuti1 and M. E. Abogunrin2 (1 Department of Agricultural and Bioresources Engineering, Federal University of Technology, P M B 65, Minna, Nigeria 2 Research Assistant, Department of Agricultural and Bioresources Engineering, Federal University of Technology, P M B 65, Minna, Nigeria) *Corresponding author’s e-mail address: johnmusa@futminna.edu.ng Abstract Water is an integral issue needed to attain the desired targets but good quality water for irrigation purpose is gradually become scarce. The seasonal nature of rainfall can give rise to water stress at critical periods of growth. This research attempts to evaluate the irrigation application efficiency of Chanchaga irrigation scheme, Minna, Niger state. A hand auger was used to bore to a desired depth to remove samples of the moist soil. Samples of the moist soil removed was placed in a can, covered and taken to the laboratory. The specific gravity (apparent) of the soil particle and the depth of water applied were determined using volumetric method, water application efficiency is determined using Gravimetric Method of Soil Moisture Content (Pw) Determination. The moisture content of the field after irrigation water is applied falls between the ranges of 51.1% and 51.5%, with an average of 51.28%, in this case the average amount of water applied is about 4.68%, this shows a little increase in the moisture content of the soil in the field. It was concluded that the efficiency of water application obtained is adequate and a good result considering the available management practice in terms of system operation, monitoring and evaluation. Keyword: Application, efficiency, Irrigation, water, scheme 1. Introduction Growth in the world population has taken its toll on several activities of which agricultural activities are not left out. The activities of deforestation and inefficient use of water for productivity have reduced the availability of water resources (da Silva et al., 2013). Thus, the need for evaluating irrigation systems which aims at determining its efficiency, uniformity, and adequacy which should be in line with other performance indicators (Latif and Ahmad, 2008). They further stated that the performance of the system is usually determined under actual field operating conditions. The desire to boost agricultural production has called for the genuine need to really appraise an irrigation system in its entirety with regards to management (Alicia, 2009). The performance of a farm irrigation system is determined by the efficiency with which water is diverted, conveyed and applied taking into account the uniformity of application in each field on the field. Lorenzini and Wrachien (2005) defined a system performance “as the degree to which the system’s products and services respond to the need of their stakeholders. The performance assessment should be a regular, short duration process for investigating suspected critical short falls in performance. The performance indicators are measurable variables that describe the condition of a system and its changes over time and space (Mayer, 2008; Dumanski and Pieri, 2000).
  • 2. Musa et al.: Evaluation of irrigation Application Efficiency: A case study of Chanchaga Irrigation Scheme. AZOJETE, 12:58-64. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 59 Water distribution uniformity and irrigation efficiency have in the recent times become important tools for the modern day agricultural activities of which Nigeria is not left out. Thus, irrigation systems and schemes which have higher values of these indicators are considered to be best when compared with those of lower values. Application efficiency of water on any crop is defined as the ratio between the amount of water retained in the root zone of the plant and the amount of applied irrigation water hence the need for an improved use of water for production is important as it has the highest demand for water (da Silva et al., 2013). Water is an integral issue needed to attain the desired targets but good quality water for irrigation purpose is gradually become scarce. The seasonal nature of rainfall can give rise to water stress at critical periods of growth; thus, irrigation would however, remove the limitations imposed by lack of rainfall giving room for all year round arable farming and removing the risk of un-seasonal droughts in the face of escalating global population (Thomas, 2006). As available water resources become scarcer, more emphasis is given to efficient use of irrigation water for maximum economic return and water resources sustainability. Rainfall patterns have become increasingly erratic. Optimum crop water management is thus inevitable if we are to increase and sustain agricultural production for the ever increasing population (Webster, 2014). This call for supplemental irrigation to provide the deficit in soil moisture needed for optimum crop growth. This requires appropriate methods of measuring and evaluating how effectively water is extracted from a water source and used for maximum crop yield. Inadequate irrigation application results in crop water stress and yield reduction. Excess irrigation application can result in pollution of water sources due to the loss of plant nutrients through leaching, runoff and soil erosion. Howell (2008) stated that not much work has been done as regards water application efficiency which is due to its difficulty in establishing the necessary parameter for the study (Koumanov et al., 2006). They also identified flow of water below the root zone of a crop as the major problem. Irrigation water is also required for field preparation, crop establishment, crop growth and development, within-season system maintenance, delivery of chemicals, frost protection, and other uses such as dust control. This study attempts to evaluate the irrigation application efficiency of Chanchaga irrigation scheme, Minna, Niger state with the objective of determining the depth of water applied on a research field and deriving the moisture content and specific gravity of the selected field soil sample required for calculating the efficiency of water application. 2. Materials and Methods 2.1 Description of the Study Area The Chanchaga Irrigation Scheme, In Minna, Niger State. Niger State is situated in North central part of the Federal Republic of Nigeria. It lies in the savanna zone of the tropics between latitude 8o 101 N and 11o 301 Nand longitude 30o 301 E. Its climate is influenced mainly by the rain-bearing South West winds from the oceans and the dry dusty or harmattan North East winds (air masses) from the Sahara Desert. There are mainly the rainy and the dry seasons. The rainy season begins in April and ends in October and the dry season starts in October /November and ends March. The mean monthly rainfall record from 1998 to 2006 ranges from 0.57mm to 215.1mm with February/March is having the minimum and September having the maximum occurrence.
  • 3. Arid Zone Journal of Engineering, Technology and Environment, August, 2016; Vol. 12: 58-64. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 60 2.2 Sample Collection A hand auger was used to bore to varying depth; 0-20cm, 20-50cm and 50-100cm to remove samples of the moist soil. Samples of the moist soil removed was placed in a can, covered and taken to the laboratory. The samples were weighed and oven dried. The moisture content was determined using the mathematical formula stated below: Therefore, Moisture content Pw (1) where: X1 is weight of moist soil (g), X2 is weight of water-free soil after drying (g), (X1 - X2) = X3 is loss of weight in drying (g). The amount of moisture was converted to volume percentages Pv as follows: Pv = PwAs (2) where: As is apparent specific gravity of the soil (which varies based on the soil textural classification). The computed moisture was converted to depth of water in order for the values to be used in accordance with Equation 2. Moisture content of the soil on depth basis was obtained by multiplying the volume percentage (Pv) by the depth of soil (D) removed by the auger. Thus, (3) where: d is depth of water before and after irrigation corresponding to W1 and W2 as explained initially, Pw, As and D assumed meanings defined in the preceding sections. 2.3 Determination of Water Application Gravimetric method of measurement was used to determine the moisture content of the various samples collected from the various locations to determine the application efficiency of the irrigation scheme. The soil moisture content was expressed by weight as the ratio of the mass of water present to the dry weight of the soil sample. Another method of ratio of volume of water to the total volume of the soil sample was also used. The soil samples were dried to a constant weight before and after measurement. The weight of water is the difference between the weights of the wet and oven dry samples at 1050 until a constant weight of the sample is achieved. 2.4 Determination of Water Application Efficiency Using Field Data For water application, various samples of soil were collected and taken to the laboratory for the determination of soil moisture content using an oven drying, heating to a temperature of 105o C; samples were kept in the oven for about 72 hours. Moisture content percentage values are converted to depth units to enhance their use in the efficiency of water application equation (Egharevba, 2009). Water application efficiency for the study area was determined and evaluated using field data by
  • 4. Musa et al.: Evaluation of irrigation Application Efficiency: A case study of Chanchaga Irrigation Scheme. AZOJETE, 12:58-64. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 61 (4) where: Ea = application efficiency of water (%), W2 = Depth of water in the soil after irrigation (cm), W1 = Depth of water in the soil before irrigation (cm), n = Number of days between sampling dates (days or hours), Et = Consumptive use or Evapotranspiration expressed (mm/day) and Wa = depth of water applied (cm) 2.5 Determination of Depth of Water (Wa) Applied on the Field (Basin) 2.5.1 Volume Method Known volume of water (15 liters) was siphoned through a pipe of 50mm diameter and the time taken for water to be dispensed was recorded. Average Time in seconds was 6.4 s Discharge rate (Q) = = = 0.0023m3 /s Total time taken to fill or flood one basin by the siphon was two minutes, forty-three seconds (i.e 2.43 minutes). Area of Basin = = 6.0m2 (5) QxT = Therefore, ( ) 3. Results and Discussion 3.1 Results The results of the various soil samples analyzed for moisture content before and after the experiment are presented in Tables 1 and 2 respectively. Table 3 shows the values of the efficiencies at different moisture contents. Table 1: Values of the soil samples; Moist and dried with their corresponding Moisture content (%) (Before Irrigation) S/No Moist Weight (W1)g Dried Weight (W2)g Moisture Removed (W1 - W2)g Moisture Content (%) 1. 230.89 157.39 73.5 46.7 2. 186.83 127.53 59.3 46.5 3. 277.34 189.44 87.9 46.4 4. 262.86 179.06 83.8 46.8 5. 205.74 140.34 65.4 46.6
  • 5. Arid Zone Journal of Engineering, Technology and Environment, August, 2016; Vol. 12: 58-64. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 62 Table 2: Values of the soil samples; Moist and dried with their corresponding Moisture content (%) (After Irrigation) S/No Moist Weight (W1)g Dried Weight (W2)g Moisture Removed (W1 - W2)g Moisture Content (%) 1. 283.28 187.48 95.8 51.1 2. 251.81 166.21 85.6 51.5 3. 272.28 180.08 92.2 51.2 4. 254.20 167.90 86.3 51.4 5. 230.05 152.15 77.9 51.2 Table 3: Values of Moisture Content (%) with Corresponding Values in Depth Units and Calculated Efficiency of Water Application (EA) S/N Before irrigation After irrigation Efficiency of application (Ea) % M.C % Depth (mm) M.C % Depth (mm) 1 46.7 183.53 51.1 200.82 65.1 2 46.5 182.75 51.5 202.40 68.6 3 46.4 182.35 51.2 201.22 67.5 4 46.8 183.92 51.4 202.00 66.3 5 46.6 183.14 51.2 201.22 66.3 3.2 Discussion The moisture content of the soil in the irrigation field before irrigation fell between the ranges of 46.4% and 46.8%, with an average of 46.6% which showed that the field had reasonable moisture content as of the time of this study. Also the moisture content of the field under irrigation after irrigation water was applied fell between the ranges of 51.1% and 51.5%, with an average of 51.28%, in this case the average amount of water applied was about 4.68%, showing a little increase in the moisture content of the soil in the field. Results of water application efficiency obtained are affected adversely by some factors since efficiency of water application in the field on the farm is largely dependent on the irrigation system and on the skill of the farmer (the person managing and controlling the operation). In the evaluation of the water application efficiency through the gravimetric method of soil moisture content determination, it must be stated that in the course of collecting soil sample and how it was subsequently taken to the laboratory. The depth of water applied in irrigation is a dominant factor in analyzing efficiency of application. Even if the water is spread uniformly over the farm or field, excessive depth of application could result in low efficiency and more importantly, counter objective. To reduce this problem to a minimum, drip irrigation systems are supposed to be employed for direct application of water to the various root zones of the crops planted. The calculated average value of water application efficiency based on the results obtained was 66.76%; this value indicates that about 33.24% of water applied was lost.
  • 6. Musa et al.: Evaluation of irrigation Application Efficiency: A case study of Chanchaga Irrigation Scheme. AZOJETE, 12:58-64. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 63 Conclusions The information on the efficiency of water management at the point of application is considered generally of paramount importance for an effective irrigation system management. The results obtained in this investigation could attest to this assertion. Water application efficiency increased with increase in moisture content after irrigation. The values obtained were adequate and indeed a good when the available management practice are considered in terms of system operation, monitoring and evaluation. References Burt, CM., Clemmens, AJ., Strelkoff, TS., Solomon, KH., Bliesner, RD., Hardy, LA., Howell, TA., and Eisenhauer, DE. 1997. Irrigation performance measures: Efficiency and uniformity. Journal of Irrigation and Drainage Engineering, 123(6): 423 – 442. da Silva, AJP., Coelho, EF. and de Miranda, JH. 2013. Efficiency of water application of irrigation systems based on microsprinkling in banana plantations. Scientific Agriculture, 70(3): 139-146. Dumanski, J. and Pieri, C. 2000. Land quality indicators: research plan. Agriculture, Ecosystems and Environment, 81(2): 93–102. http://dx.doi.org/10.1016/S0167-8809(00)00183-3. Egharevba, NA. 2009. Irrigation and Drainage Engineering (Principles, Design, and Practices). Department of Agricultural and Bioresources Engineering, Federal University of Technology Minna, Nigeria, pp 24-32. Fernández-Cirelli, A., ArumĂ­, JL., Rivera, D. and Boochs, PW. 2009. Environmental Effects of Irrigation in Arid and Semi-arid Regions. Chilean Journal of Agricultural Research 69 (suppl. 1):27- 40. Howell, TA. 2008. Addressing the world water crisis. ASABE Resource Magazine, 15: 5-8. Koumanov, KS., Hopmans, JW. and Schwankl, LJ. 2006. Spatial and temporal distribution of root water uptake of an almond tree under microsprinkler irrigation. Irrigation Science, 24: 267-278. Latif, M. and Ahmad, F. 2008. Operational analysis of water application of a sprinkler irrigation system installed in a Golf Course: Case Study. Journal of Irrigation and Drainage Engineering, 134 (4): 446-453. Lorenzini, G. and Wrachien, DD. 2005. Performance assessment of sprinkler irrigation systems: A new indicator for spray evaporation losses. Irrigation and Drainage, 54: 295–305. Mayer, AL. 2008. Strengths and weaknesses of common sustainability indices for multidimensional systems. Environment International, 34(2): 277–291.
  • 7. Arid Zone Journal of Engineering, Technology and Environment, August, 2016; Vol. 12: 58-64. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 64 Pereira, LS. 1999. Higher performance through combined improvements in irrigation methods and scheduling: A discussion. Agricultural Water Management, 40 (2): 153 – 169. Playan E. and Mateos L. 2006. Modernization and optimization of irrigation system to increase water productivity. Agricultural Water Management, 80:100-116. Thomas N., StĂ©phane B., Françoise L. and Robert H. 2006. Survey-based analysis of irrigation and N fertilisation practices in apple orchards. Agronomy for Sustainable Development, 26: 215–225. Webster, TP. 2014. Extension Engineer; Irrigation system types and typical applications, ACAE Pub No 32, AGDEX. No. 563.