This document provides information on designing a drip irrigation system. It discusses collecting data on the field, water sources, crop details, and climate. Key steps in the design process are outlined, including calculating water requirements based on reference evapotranspiration, crop coefficients, and canopy factors. Methods for selecting emitters, laterals, and submains based on flow rates and hydraulic considerations are described. The goal of the design is to maintain high system efficiency and uniform moisture for optimizing crop yield.
Irrigation water management for water management in high water table areas & canal irrigation management, water logging, Drainage system, Canal irrigation management, farmer's participation in management, Water users organization(WUA),
Irrigation water management for water management in high water table areas & canal irrigation management, water logging, Drainage system, Canal irrigation management, farmer's participation in management, Water users organization(WUA),
Big Data for Building Inclusive Agriculture in Dry Areas ICARDA
25 to 30 August. The World Water Week in Stockholm is an annual focal point for the globe’s water issues. Organized by the Stockholm International Water Institute (SIWI), and supported by the United Nations water programs.
Wednesday 28 August
“Big data for all”, can it help improve agricultural productivity?
This project is about using linear programming method for allocating land and water resources in a district. The equations are solved with the help of MS Excel Solver.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Asia Regional Program Planning Meeting- Water scarcity and low water use effi...ICRISAT
Water scarcity and the increasing global demand for water in many sectors, including agriculture, has became a global concern. The rapid growing world population and the adverse impacts of climate change led to growing competition for water use by industrial and urban users for agriculture to secure enough food. Irrigated agriculture is an important role in total agriculture and provides humanity with a wide range of agricultural products, including fruits, vegetables, grains and cereals. Effective management for water use is the only way to save water for the increasing irrigated agriculture.
Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...ijsrd.com
The Aim of this paper is to replace furrow Irrigation system by Drip irrigation system to improve qualitative parameters of cotton crop at its different physiological stages. (Germination, Initial Vegetative, Flowering, Boll development and Maturity).As we are knowing furrow irrigation system requires more water than drip irrigation system. Our region is affected with drought once in every four year. Cotton crop needs continuous water for duration of 140 to 160 days in between May to October. In month of May and June water table is going down and all Water resources are at its bottom level during season of summer.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
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We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Forklift Classes Overview by Intella PartsIntella Parts
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6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Design of drip irrigation system
1. Integrated Rural and Agricultural Development Association (IRADA), Satara
Online Training on
“Advanced Irrigation and Precision Agriculture”
Design of Drip Irrigation System
By
Er. R. M. Beldar
M. Tech. (Soil & Water Conservation Engineering)
2. Integrated Rural and Agricultural Development Association (IRADA), Satara
DRIP IRRIGATION DESIGN
Advanced Irrigation and Precision Agriculture 2
SYSTEM COMPONENTS
3. Integrated Rural and Agricultural Development Association (IRADA), Satara
Objective of Design
Advanced Irrigation and Precision Agriculture 3
To maintain higher system and Irrigation efficiency means emission uniformity.
To maintain optimum moisture level in soil for optimization of crop yield.
To keep both initial investment and annual cost at minimum level.
To design a suitable type of system which will last and perform well.
To design a manageable system which can be easily operated and maintained.
To satisfy and fulfill the requirements of crops and farmer or users.
4. Integrated Rural and Agricultural Development Association (IRADA), Satara
Design inputs
Advanced Irrigation and Precision Agriculture 4
Aiming at precise quantity and uniform application of water for each and every plant
Collection of data as detailed below is a prerequisite for designing an efficient MIS.
Engineering Survey Measurement of field, ground slope, contours.
Water Sources Assessment of water sources and availability of water
Agricultural Details Crop, Spacing, type, variety, age, water requirement, crop physiology
Climatological data Temperature, humidity, rainfall, evaporation etc.
Soil and Water analysis Collection of soil & water sample and analysing
5. Integrated Rural and Agricultural Development Association (IRADA), Satara
steps of Design of drip system
Advanced Irrigation and Precision Agriculture 5
Considering the above parameter, an appropriate MIS has to be design as per steps given below
System Capacity.
Peak water Requirement of crop
Selection of Emitting Devices or Drippers or Tubing.
Selection and design of laterals or Tubes.
Selection and design of Submains.
Selection and design of Mainlines.
Selection and design of filtration system.
Selection and design of Pump Unit.
6. Integrated Rural and Agricultural Development Association (IRADA), Satara
Design Step drip Irrigation system
Advanced Irrigation and Precision Agriculture 6
DATA COLLECTION
WATER REQUIREMENT CALCULATION
HYDRAULIC DESIGN
7. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 7
X=Tie length
ø
10m
10m
Ø = sin- (X/20)
Total Angle = (2n-4)*90
where, n= no. of sides
8. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 8
9. Integrated Rural and Agricultural Development Association (IRADA), Satara
Some units about fields
Advanced Irrigation and Precision Agriculture 9
1 cm 10 mm
1 m 100 cm
1 m 3.28 ft
1 ha 10,000 m2
1 ha 2.47 acre = 2.5 acre
1 ha 100 are
1 acre 40 are
1 acre 43560 ft2
1 acre 4047 m2
1 are 1076 ft2 = 1089 ft2
1 are 100 m2
1 km2 100 ha
10. Integrated Rural and Agricultural Development Association (IRADA), Satara
Data collection
Advanced Irrigation and Precision Agriculture 10
DATA COLLECTION
WATER SOURCE
Type of Water source – river, canal,
pond, open well etc.
Lowest Water level (LWL)
METERIOLOGICAL DATA
Daily Average Evaporation, E in mm/d (7-8 mm/d)
Pan Factor, p (0.7)
OPERATING WINDOW
Electricity available for irrigation, hours
TOPOGRAPHY
Measurement of field, contours (ground slope)
11. Integrated Rural and Agricultural Development Association (IRADA), Satara
Data collection
Advanced Irrigation and Precision Agriculture 11
DATA COLLECTION – FARMER INFORMATION
1) Farmer Name:__________________________________
2) Village:____________, Tal:_____________, Dist:___________.
3) Crop :___________
4) Spacing :_____________ (Row to Row and Plant to Plant)
5) Area :___________In acres or Ha
6) Land :________ Flat
7) Water source : Open Well
8) Water level:____________ m B.G.L.
9) Electricity available :_______ In hrs.
10) Pump delivery size:_____”
12. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 12
DATA COLLECTION
CROP - 1
Crop Name - Orchard
Area, A – ha
Row-Row Spacing, Sr – m
Plant-Plant Spacing , Sp – m
Crop coefficient, kc
Canopy covering Factor, kp
Lateral Spacing, Sr – m
CROP - 2
Crop Name – Closely spaced
Area, A - ha
Row Spacing , Sp – m
Paired Row Spacing, Sr – m
Crop coefficient, kc
Canopy covering Factor, kp
Lateral Spacing, Sl = Sr + Sp m
13. Integrated Rural and Agricultural Development Association (IRADA), Satara
Water Requirement of Crop
Advanced Irrigation and Precision Agriculture 13
Before calculating crop water requirement following points to be taken into consideration.
Type of crop and its age.
Type of soil.
Evaporation loss from the surface.
Transpiration loss from leaves.
Canopy area and root zone development.
Plant to Plant and Row to Row Spacing.
Wind Velocity, Humidity.
Studying all above factors, the month wise and agewise WR for crop decided and design made.
The CWR is equivalent to the rate of evapotranspiration necessary to sustain optimum Plant
growth.
14. Integrated Rural and Agricultural Development Association (IRADA), Satara
Water Requirement of Crop
Advanced Irrigation and Precision Agriculture 14
Accuracy of determination of CWR will be depended on Type of Climatic data available.
Evaporation – Loss of Water from soil surface and water Body.
Transpiration - Loss of Water from Plant surface.
• Evapotranspiration (ET crop) – It is also called Consumptive use.
1) Quantity of water transpired by plant during their growth or retained in the plant tissue.
2) Moisture evaporated from the surface of the soil and Vegetation.
Reference crop Evapotranspiration (ETo) – Rate of Evapotranspiration from an extended
surface of 8 to 15 tall green grass (Alfa Alfa) cover of uniform height.
15. Integrated Rural and Agricultural Development Association (IRADA), Satara
Water Requirement of Crop
Advanced Irrigation and Precision Agriculture 15
Crop Coefficient or Crop factor (Kc)
It is selected for given crop and stage of crop development under prevailing climatic condition.
The value of Kc depends on foliage characteristics,
stage of growth, environment & geography.
Horticulture crop - crop factor value - 0.4 to 0.7.
Wetted Area or % wetted Area or canopy –
It is the area which is shaded due its foliage or canopy cover
when the sun is over head, which depends on the stage of crop
growth.
16. Integrated Rural and Agricultural Development Association (IRADA), Satara
Water Requirement of Crop
Advanced Irrigation and Precision Agriculture 16
1. Net depth of water : i.e. Evapotranspiration of crop (ETP)
ETP = Pe x Pc x Kc
Where,
Pe = Pan evaporation (mm)
Pc = Pan coefficient, taken as 0.7 or 0.8
Kc = Crop Factor
2. Volume of water for Tree crops :
Total volume of water required ( litre / day/ tree)
Net depth of water x % wetted Area coverage by foliage x spacing between tree x spacing between Row
3. Volume of water for Row crops :
Volume of water for required per unit area per day: Net depth of water x Kc x % wetted Area water covered by foliage
17. Integrated Rural and Agricultural Development Association (IRADA), SataraPWRof different crops
Advanced Irrigation and Precision Agriculture 17
18. Integrated Rural and Agricultural Development Association (IRADA), Satara
Crop coefficients and Canopy factors of some important crops.
Advanced Irrigation and Precision Agriculture 18
19. Integrated Rural and Agricultural Development Association (IRADA), Satara
Crop coefficients and Canopy factors of some important crops.
Advanced Irrigation and Precision Agriculture 19
20. Integrated Rural and Agricultural Development Association (IRADA), Satara
Wetting Pattern
Advanced Irrigation and Precision Agriculture 20
1) Heavy soil 2) Medium soil 3) Light soil
21. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 21
22. Integrated Rural and Agricultural Development Association (IRADA), Satara
1) Calculate Peak Water Requirement of Crop
Where,
PWR = Peak Water Requirement
A = Evaporation rate (mm/day)
A = Evaporation (E) x Pan coefficient (pc )
Pc = Pan coefficient (0.7 or 0.8 )
B = Crop factor
C = Canopy factor
D = Area (m2) (Row to Row x Plant to plant Specing)
E = Efficiency of drip system (90%)
Advanced Irrigation and Precision Agriculture 22
)//( plantdaylit
E
DCBA
PWR
23. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 23
WATER REQUIREMENT CALCULATION
PWR For Horticultural Crop
PWR in lit/day = E * Pc * Kc * Kp * Sr * Sp / IE
PWR For Widely Spaced Row Crop
PWR in mm/day = E * Pc * Kc * Kp / IE
24. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 24
( )
( ) ( ) ( )( )mPPSspacingPlanttoPlant×mRRSspacingRowtoRow
mArea 2
Total No. of Plants =
Total PWR = PWR x No. of plants
No. of Drippers = No. of plants x no. of drippers for each plant
25. Integrated Rural and Agricultural Development Association (IRADA), Satara
Types of Micro Irrigation System
Advanced Irrigation and Precision Agriculture 25
1. On Line Drip System
4 lph 2 lph
Drippers are required to be fitted on polytube as per plant’s spacing.
Suitable for Horticultural crops (Mango, Orange, Banana, etc.)
8 lph
26. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 26
2. In Line Drip System
a) J Turbo-Line
Emitters are inserted and welded in the tube during extrusion as per pre set plant spacing.
Suitable for Row crops like Sugarcane, Cotton, Tomatoes, Vegetables, etc.
b) J Turbo Aqura
27. Integrated Rural and Agricultural Development Association (IRADA), Satara
2) HYDRAULIC DESIGN
Advanced Irrigation and Precision Agriculture 27
SELECTION DRIPPER OR EMITTER
Selection of dripper depends upon Crop water requirement or discharge rate, Soil type, infiltration rate, land,
Topography, pressure of system and Cost economy.
----------------------------------------------------------------------------------------------------
Selection Factor : Type of Dripper
----------------------------------------------------------------------------------------------------
1. Type of Crop : Online or Inline
2. Water Requirement : High Discharge or Low Discharge
3 Soil Type : High Discharge or Low Discharge
4. Land Terrain : PC or Non PC
5. Maintenance : Openable or non-openable
28. Integrated Rural and Agricultural Development Association (IRADA), Satara
2) Selection of Dripper or Emitter
WATER APPLICATION RATE
WAR (lit/hrs.) for Tree crop (Online Drip system).
WAR (mm/hrs.) for Row crops (Inline Emitter system).
WAR in mm/hrs. = Dripper flow rate / (Lateral spacing * Dripper spacing )
Advanced Irrigation and Precision Agriculture 28
( )l/hrdischargeDripper×/plantDripperofNo.=RatenApplicatioWater
29. Integrated Rural and Agricultural Development Association (IRADA), Satara
2) Selectionof Dripper or Emitter
Advanced Irrigation and Precision Agriculture 29
( )hr=
WAR
PWR
=TimeIrrigation
30. Integrated Rural and Agricultural Development Association (IRADA), Satara
2) Selectionof Dripper or Emitter
AREA TO BE IRRIGATED SIMULTENIOUSLY
Discharge per Section = Area * Discharge per area / No. of Section
Advanced Irrigation and Precision Agriculture 30
TimeIrrigation
AvailableyElectricit
tionIrrigationofNo sec.
31. Integrated Rural and Agricultural Development Association (IRADA), Satara
2) Selection of Dripper or Emitter
Advanced Irrigation and Precision Agriculture 31
WATER APPLICATION RATE
WAR in lit/hr = No. of dripper per plant x Dripper flow rate (lit/ hrs.)
WAR in mm/hr = Dripper flow rate / (Lateral spacing * Dripper spacing )
IRRIGATION TIME OR DRIPPER RUN TIME
IT OR DRT in hour = PWR / WAR
AREA TO BE IRRIGATED SIMULTENIOUSLY
No. Of Section = Electricity available / Dripper Run time
Discharge per Section = Area * Discharge per area / No. of Section
32. Integrated Rural and Agricultural Development Association (IRADA), Satara
3) Selection of Lateral
Advanced Irrigation and Precision Agriculture 32
HYDRAULIC DESIGN
LATERAL SELECTION
Depends upon the Calculate Specific discharge rate ( SDR)
For tree crop or Online Drip system
SDR in lph/m = No. of dripper per plant x Dripper flow rate / Sp
OR
For Row crops / Inline Emitter system.
SDR in lph/m = Dripper flow rate / Dripper spacing along lateral
From SDR Curve, Select diameter of lateral and length of lateral run max.
( ) ( )
( )
)m/lph(
mspacingplanttoPlant
DeargdischDripper×Nplant/dripperofNo
=lateralofSDR
DD
33. Integrated Rural and Agricultural Development Association (IRADA), Satara
3) Selection of Lateral
Advanced Irrigation and Precision Agriculture 33
HYDRAULIC DESIGN
LATERAL SELECTION
Discharge of Lateral, Qs – in lps
Hf = (5.35 * Qs
1.852 * Ls) / (D4.871)
Hf < 10 % of working pressure of dripper
Diameters of LLDPE lateral
12mm, 16mm, 20mm, 25mm, 32mm – Plain Polytube
12mm, 16mm, 20mm – Inline tube
16mm, 20mm – PC inline tube
34. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 34
35. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 35
36. Integrated Rural and Agricultural Development Association (IRADA), Satara
4) Selection of Submain
Advanced Irrigation and Precision Agriculture 36
s/mofLength
plantperdrippersofNo.xdischargeDripperxs/mbycoveredplantsofNo.
m/ofSDR s
s/mofLengthxspacingdripperxspacingLateral
dischargeDripperxs/mbyservedArea
m/ofSDR s
37. Integrated Rural and Agricultural Development Association (IRADA), Satara
4) Selection of Submain
Advanced Irrigation and Precision Agriculture 37
HYDRAULIC DESIGN
Submain Line Selection
Flow or discharge of Submain, Qs – in lps
For Online Dripper system
Qs = (As * WAR) / (Sp * Sr * 3600)
OR
For Inline Emitter system.
Qs = (As * WAR) / 3600
( ) ( )psl
3600
D×N×N
=QSubmainofeargDisch
DDP
sm
38. Integrated Rural and Agricultural Development Association (IRADA), Satara
4) Selection of Submain
Advanced Irrigation and Precision Agriculture 38
HYDRAULIC DESIGN
SUBMAIN SELECTION
Calculate Frictional Head loss in submain Using Hazen- William Equation
Hf = (5.35 * Qs
1.852 * Ls) / (D4.871)
Hf < 10 % of working pressure of dripper (10 x 10/100)= 1 m
Submain available in PVC Pipe – 40mm, 50mm , 63mm, 75mm, 90mm
39. Integrated Rural and Agricultural Development Association (IRADA), Satara
Frictional head loss or SDR curve of submain
Advanced Irrigation and Precision Agriculture 39
40. Integrated Rural and Agricultural Development Association (IRADA), SataraFrictional head loss or SDR curve of submain
Advanced Irrigation and Precision Agriculture 40
41. Integrated Rural and Agricultural Development Association (IRADA), Satara
Frictional head loss or SDR curve of submain
Advanced Irrigation and Precision Agriculture 41
42. Integrated Rural and Agricultural Development Association (IRADA), Satara
Frictional head loss or SDR curve of submain
Advanced Irrigation and Precision Agriculture 42
43. Integrated Rural and Agricultural Development Association (IRADA), Satara
Main line – is conduit which carries water from source to submain
Designing the mainline following point should be kept in mind.
Advanced Irrigation and Precision Agriculture 43
Permissible Velocity Should not be exceed 1.5 metre per second
Frictional losses Should be limited to 5 to 20 metre per 1000 m length of pipe
Economic Size Should be such that low initial investment, low power cost.
Elevation & Pipe Class Minimise High pressure rating (Class) pipe at elevated ground &Run is short
Control Measure Provide ARV, NRV, PRV & sustaining valves at appropriate location.
5) Selection of main Line
44. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 44
HYDRAULIC DESIGN
MAIN SELECTION
Flow in Main = Flow of Submain
From SDR curve select Diameter of mainline and find frictional head loss in m of Main line.
Discharge per section, Q – in lps
Length of Mainline, Lm – in m
Velocity, V – 0.6 to 1.5 m/s
Unit Head loss, Hf - < 20 m/km
Hf = (15.27 * Q1.852 * L) / (D4.871)
Hf < 5 m
( )fh
45. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 45
Flow Diagram for PVC Pressure Pipes & Quick Fix™ Pipes
46. Integrated Rural and Agricultural Development Association (IRADA), Satara
Flow Diagram for PVC Pressure Pipes & Quick Fix™ Pipes
Advanced Irrigation and Precision Agriculture 46
mm
m
m LD
C
Q
KH
871.4-
852.1
mH
= Frictional head loss in mainline, (m)
K = Constant, 1.21 x 1010
Qm = Main line discharge, (lps)
C = Friction coefficient for pipe sections
Dm = Inside diameter of main line, (mm)
Lm = Main line length, (m)
mH
47. Integrated Rural and Agricultural Development Association (IRADA), Satara
Selectionand design of filtrationunit
Advanced Irrigation and Precision Agriculture 47
The selection and design of filtration system is based:
Source of water.
Type size and concentration of physical impurities.
Design system flow (Filtration capacity).
Type of irrigation system.
Workability of filtration of system.
Ease for handling, cleaning, maintenance and repairing.
Filtration media and low frictional losses.
Economical investment, maintenance and power cost.
48. Integrated Rural and Agricultural Development Association (IRADA), Satara
Selectionof filter and fertigation equipment
Advanced Irrigation and Precision Agriculture 48
HYDRAULIC DESIGN
FILTER UNIT SELECTION
Discharge per section, Q – in (l/s)
Filter Capacity (m3/hrs.) = 3.6 x Flow of main line (Q)
OR
Filter capacity required – 3.6 * Q m³/hr
Select standard capacity of filter which should not be less than required.
Capacity – 15, 20, 25, 40, 50, 60 m³/hr
49. Integrated Rural and Agricultural Development Association (IRADA), Satara
FERTIGATION EQUIPMENT
Selection of Venturi =
Advanced Irrigation and Precision Agriculture 49
FERTILIZER TANK
Capacity :60lt., 90 lt., 120 lt & 160 lt.
VENTURY INJECTOR
Size : ½”, ¾“, 1”, 2”
INJECTOR PUMP
Size : ¾ “
Proportional Setting of Injection
Rate from 0.5 % to 2 % of Motive Flow
4.1or2
Q
=)psl(flowMotive
main
50. Integrated Rural and Agricultural Development Association (IRADA), Satara
Selection anddesign of Pump
Advanced Irrigation and Precision Agriculture 50
HYDRAULIC DESIGN
PUMP SELECTION
Total Head required (H) = (Suction + Delivery) Head + Filtration Losses + Frictional loss in Main Line +
Operating pressure + Fitting losses + Head loss in ventury + Elevation (If any)
OR
Total Head, H = Suction + Delivery head
Filtration head
Operating Pressure of Dripper
Head loss in Main-Submain-Lateral pipe
Fittings (Valves, Tee, Bend, Reducer etc.)
Fertigation loss (Ventury loss)
Elevation (ground slope)
51. Integrated Rural and Agricultural Development Association (IRADA), Satara
Selection of Total head
Total head required for the system is calculated as.
Advanced Irrigation and Precision Agriculture 51
Suction Head Vertical distance betn water level to centre of pump.
Delivery Head Vertical distance betn centre of pump to ground level.
Filtration Loss Filtration loss in different type of filter is assumed 2 m for each type of filter
unit. (Hydrocyclone, sand and Screen Filter)
Sand + Screen Filter = 5 m
Main line loss Frictional head losses occur in mainline as per calculation.
Operating Pressure head Given by manufacture at which system has to be operated and designed.
10 m (1Kg/cm2) and 15 m (1.5 Kg/cm2) pressure for NPC & PC dripper respectively
Fitting losses It is assumed to 2 m overall. Fitting like (Elbow, Bend, Tee, reducer, valve, other etc)
Ventury Head It is assumed to 5 m for manually operated ventury. (Certain pressure is required to
operated ventury or fertilizer applicator.
Elevation Vertical distance betn ground level near to source to the highest level of
ground.
52. Integrated Rural and Agricultural Development Association (IRADA), Satara
Selection anddesign of Pump
Advanced Irrigation and Precision Agriculture 52
HYDRAULIC DESIGN
PUMP SELECTION
Total Head, H = Suction + Delivery head + Filter loss + Head loss in Main-Submain-Lateral pipe + Operating
Pressure of Dripper + Fittings (Valves, Elbow, Tee, Bend, Reducer etc.) + Ventury loss+Elevation (ground slope)
Horse Power Calculation
Q = Discharge of main per section (lps)
H = Total Head (m)
= Efficiency of Pump (80%)
ba
main HQ
HP
75
a = Efficiency of motor (85 %)
b
53. Integrated Rural and Agricultural Development Association (IRADA), Satara
Data collection
Advanced Irrigation and Precision Agriculture 53
DATA COLLECTION – FARMER INFORMATION
1) Farmer Name: Shri. Vipin Y. Sule
2) Village: Palus , Tal: Palus, Dist: Sangli.
3) Crop :- Mango
4) Spacing :- 20’ x 20’ (Row to Row and Plant to Plant)
5) Area :- L- 100 m & W- 100 m
6) Land :- Flat
7) Water source :- Open Well
8) Water level: - 15 m B.G.L.
9) Electricity available :- 10 hrs.
10) Pump delivery size:- 2”
100 m
100m
W.S
54. Integrated Rural and Agricultural Development Association (IRADA), Satara
Calculatearea of field
Step 1 Calculate area of field
Length of Field = 100 m
Breadth of field = 100 m
Total Area = L x W = 100 x 100 = 10,000 m2 = 1 ha = 2.47 acre = 100 R
Advanced Irrigation and Precision Agriculture 54
55. Integrated Rural and Agricultural Development Association (IRADA), Satara
Calculate Peak water requirement
Step 2 Calculate Peak water requirement
A = Evaporation rate (mm/day) = 8.5 mm/day
Pc = Pan coefficient (0.7 or 0.8 )
A = Evaporation (E) x Pan coefficient (pc ) = 8.5 x 0.7 = 5.95 = 6 mm /day
B = Crop factor = 0.65
C = Canopy factor = 0.75
D = (Row to Row x Plant to plant Spacing) = 20’ x 20’ = 20/3.28 = 6.09 m
E = Efficiency of drip system (90%) = 0.9
Advanced Irrigation and Precision Agriculture 55
)//( plantdaylit
E
DCBA
PWR
56. Integrated Rural and Agricultural Development Association (IRADA), Satara
Crop coefficients and Canopy factors of some important crops.
Advanced Irrigation and Precision Agriculture 56
57. Integrated Rural and Agricultural Development Association (IRADA), Satara
1) Calculate Peak Water Requirement of Crop
6 x 0.65 x 0.75 x (6.09 x 6.09)
PWR = --------------------------------
0.9
PWR = 120. 83 Lit/day/plant
Advanced Irrigation and Precision Agriculture 57
)//( plantdaylit
E
DCBA
PWR
58. Integrated Rural and Agricultural Development Association (IRADA), Satara
1) Calculate Peak Water Requirement of Crop
Advanced Irrigation and Precision Agriculture 58
269
59. Integrated Rural and Agricultural Development Association (IRADA), Satara
2) Selection of Dripper or Emitter
Advanced Irrigation and Precision Agriculture 59
Considering the cost of Electricity, we will irrigate the field in ONE SECTION
60. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 60
100 m
100m
W.S
50 m50 m
100m
Submain
Lateral
61. Integrated Rural and Agricultural Development Association (IRADA), Satara
3) Design and Selection of Lateral
Advanced Irrigation and Precision Agriculture 61
( ) ( )
( )
)m/lph(
mspacingplanttoPlant
DeargdischDripper×Nplant/dripperofNo
=lateralofSDR
DD
62. Integrated Rural and Agricultural Development Association (IRADA), Satara
Frictionalheadlossor SDRcurveof Lateral
Advanced Irrigation and Precision Agriculture 62
63. Integrated Rural and Agricultural Development Association (IRADA), Satara
4) Selection of Submain
Advanced Irrigation and Precision Agriculture 63
s/mofLength
plantperdrippersofNo.xdischargeDripperxs/mbycoveredplantsofNo.
m/ofSDR s
100
269 Nos.
269
100
86.08 (lph/m)
of 100m Which 1.6 m
118m
64. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 64
65. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 65
Section
S/M
nos.
Length of
S/M (m)
Ares covered
by s/m (m2)
No. of plant
covered by
s/m
SDR of S/m
(NDD x ND x
DD) / Length of
s/m
Dia.
(mm)
Class
Hf
(m)
Flow =
(Np x ND x
DD) / 3600
(l/s)
I 1 100 10000 269 86.04 50 III 1.6 2.39
( ) ( )psl
3600
D×N×N
=QSubmainofeargDisch
DDP
sm
269
2.39 lps
2.39 lps
66. Integrated Rural and Agricultural Development Association (IRADA), Satara
PWR of different crops
Main Line Table.
Flow of submain = flow of Main = 2.39 lps
Advanced Irrigation and Precision Agriculture 66
1 2 3 4 5 6 7 8 9 10 11 12
Section
S/m
nos.
From To
Length
of main
line (m)
Flow =
(Np x ND
x DD) /
3600 (l/s)
Sectional
Flow
Dia.
(mm)
Class
Hf
m/1000
Actual Hf
s/m x 100
(5 x 10)
Sectional
Hf
I 1 s/m WS 50 2.39 2.39 63 II 15/
1000
50 x (15/ 1000) 0.75
Max. head loss in mainline 0.75
67. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 67
68. Integrated Rural and Agricultural Development Association (IRADA), Satara
Selectionof filter and fertigation equipment
Advanced Irrigation and Precision Agriculture 68
FILTER UNIT SELECTION
Filter Capacity (m3/hrs.) = 3.6 x Flow of main line (Q)
= 3.6 x 2.39 = 8.60 m3/hrs.
Source – Open Well
Select Sand Filter (J-Filtro Master) 1.5’’ x 20’’, 10 m3/hrs. single with plastic manifold and Manual back washing.
Select Screen filter (J- super flow filter) 12 m3/hrs. of 1.5’’ inlet.
• Ventury Selection :
MF = 2.39 / 2 = 1.19 l/s
Select ventury complete assembly 1’’
4.1or2
Q
=)psl(flowMotive
main
69. Integrated Rural and Agricultural Development Association (IRADA), Satara
Selection anddesign of Pump
Advanced Irrigation and Precision Agriculture 69
ba
main HQ
HP
75
= 15 + 5 + 0.75 + 10 + 2 + 5 + 0
37.75 m
𝟐.𝟑𝟗 ×𝟑𝟕.𝟕𝟓
𝟕𝟓 ×𝟎.𝟖 ×𝟎.𝟖𝟓
= 𝟏. 𝟕𝟔 HP ≈ 𝟐 𝐇𝐏
70. Integrated Rural and Agricultural Development Association (IRADA), Satara
Design Layout of Mango Drip system
Advanced Irrigation and Precision Agriculture 70
BV
PVC63mmODClassII
I
Lateral - J- TH 16 mm OD
100 m
100m
Dripper- J- Turbo Key plus- 4
PVC50mmODClassIII
Sand Filter
Venturi
Screen Filter
FV
PumpWS
71. Integrated Rural and Agricultural Development Association (IRADA), Satara
Dripper Placement diagram
Advanced Irrigation and Precision Agriculture 71
20’
20’
Extension Tube
Dripper
72. Integrated Rural and Agricultural Development Association (IRADA), Satara
Irrigation scheduling
Total time Required to Irrigate the field is LESS than electricity
available therefore design is fine.
Advanced Irrigation and Precision Agriculture 72
Section S/M No. Flow L/s Sectional Flow Time (hrs.)
I 1 2.39 2.39 3.77
Total Time 3.77
73. Integrated Rural and Agricultural Development Association (IRADA), Satara
DETAILEDBILLOF QUANTITY
Advanced Irrigation and Precision Agriculture 73
JAIN IRRIGATION SYSTEMS LTD. JALGAON
NAME OF FARMER: Shri. Vipin Y. Sule Crop: Mango
A/P - Palus, Tal : Palus, Dist: Sangali Area : 1 Ha
QUOTATION:-
SR.NO. ITEMS DESCRIPTION QTY UNIT RATE AMOUNT
A PVC PIPE
1 PVC Pipe 63mm Class-II 50 Mtr
2 PVC Pipe 50mm Class-II 102 Mtr
B Lateral, Dripper
2 J-Plan Lateral 16 mm Class-II 1840 Mtr
3 J-Turbo Key plus dripper 8 lph, 4no. 1100 Nos
4 GTO 16 X 13 mm 50 Nos
5 Poly Joiner 16 mm 50 Nos
6 End Cap 16 mm "8" SHAPE 50 Nos
7 Extension Tube 6 mm dia 750 Mtr
8 Short Poly Take off 4 mm dia 600 Nos
9 Long Poly Take off 4 mm dia 0 Nos
74. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 74
C Control Valve
10 PVC Ball Valve 63 mm 0 Nos
11 PVC Ball Valve 50 mm 1 Nos
12 PVC Flush Valve 50 mm 1 Nos
13 PVC ARVC 1’’ 1 Nos
14 ARV Assembly 63`` x 1`` 1 Nos
15 By Pass assembly 2` x 1.5`` 2 Nos
16 Cast iron NRV 2`` 1 Nos
D Filter and Fertigation Equipment
17 Jain filtro master (1.5 x 2) 10 m3/hr 1 Nos
18 Jain Super Flow Filter 12 m3/hr 2"
29 Ventury Compete Assembly 1" 1 Nos
Continued…..
75. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 75
E Fitting's and Accessories
20 PVC FTA 63 mm 2 Nos
21 Elbow 50 mm 2 Nos
22 Reducer 63 x 50 mm 1 Nos
23 Solvent Cement 1/2Lit (250 ml) 1 Nos
24 Teflon tape 2 Nos
TOTAL
GST
SUB Total
Installation Charges(RS. 1000/Acres)
Service Tax @ 12.36% on Installation charge’s
Grand total’s Rs.
Continued…..
76. Integrated Rural and Agricultural Development Association (IRADA), Satara
Mainline = 50 m, length of 1 pipe = 6 m
Mainline=50/6 = 9 ≈ 9 × 6 = 54 m
In pipe rate are per meter length
Submain length = 100 m, length of 1 pipe = 6 m
Submain=100/6 = 16.60 ≈ 17 × 6 = 102 m
Lateral Length = Area/ RRS =10000/(20/3.28)= 1640 m
Snaking effect 2 % of 1640 = 32.8 m
Lateral for each outlet 1m = 33 m
Advanced Irrigation and Precision Agriculture 76
77. Integrated Rural and Agricultural Development Association (IRADA), Satara
Total lateral required = 1700 m
Bundle size = 400m
Bundle Quantity = 4
Extra Lateral required 100 m Bundle = 1
No. of Outlet s/m = (Length of s/m)/RRS
= 100/(20/3.28)= 16
Both side
16 x 2 =32 Nos.
Advanced Irrigation and Precision Agriculture 77
78. Integrated Rural and Agricultural Development Association (IRADA), Satara
GTO (Grommet take off) = 33 ≈ 50 50 GTO/ pack
Polyjoiner = 33 ≈ 50 50PJ/pack
End stop = 33 ≈ 50 50ES/pack
Total Dripper = No. of Plants x 4
= 269 x 4
= 1076
= 1100 Nos. (100D/pack)
Advanced Irrigation and Precision Agriculture 78
79. Integrated Rural and Agricultural Development Association (IRADA), Satara
Extension tube = No. of plant x 3 m
= 269 x 3
= 807 m
= 1000 m (250m/ bundle)
Poly take off short 4 mm dia. = No. of plant x 2
= 269 x 2
= 538
= 550 50 PTO/pack
Advanced Irrigation and Precision Agriculture 79
80. Integrated Rural and Agricultural Development Association (IRADA), Satara
Advanced Irrigation and Precision Agriculture 80