On-farm Sprinkler Irrigation Performance as affected by the Distribution System

2007 ◽  
Vol 96 (1) ◽  
pp. 99-109 ◽  
Author(s):  
N. Lamaddalena ◽  
U. Fratino ◽  
A. Daccache
Keyword(s):  
Distribution System ◽  
Sprinkler Irrigation ◽  
Irrigation Performance ◽  
On Farm

scholarly journals Analisisis Kinerja Sprinkler Mini Meganet 24 D Netafim Terhadap Variasi Debit dan Jarak Penempatan Sprinkler

2021 ◽  
pp. 186-195
Author(s):  
I Dewa Gede Jaya Negara ◽  
Ida Bagus Giri Putra ◽  
Anid Supriadi ◽  
Made Anggitha Dewi
Keyword(s):  
Data Analysis ◽  
Flow Rate ◽  
Sprinkler Irrigation ◽  
Irrigation Performance ◽  
Irrigation Uniformity

Currently, there are many efficient and effective sprinkler irrigation tools on the market, so it is necessary to be careful in choosing for irrigation. Among them, the Meganet 24D Netafim, including the type of irrigation tool, which still needs testing to know its performance. This study aims to examine the sprinkler irrigation performance of Meganet 24D Netafim, on variations in flow rate and distance between sprinklers, related to irrigation uniformity (CU) and irrigation radius (Rn). This test was carried out on an area of about 1 acre, at a flow rate of Q1=0.42/sec, Q2=0.51 l/sec, Q3=0.52/sec, Q4=0.56 and the test sprinkler distance, r1=2 ,5m, r2=3m,r3 = 3.5m and r4 = 4m. The results of data analysis are presented in the form of tables and graphs and concluded descriptively. The results showed that, in all variations of Q and sprinkler spacing r1, r2, r3 obtained irrigation uniformity (CU) above 85% which was classified as high, while in the r4, Q1 and Q2 tests, CU was obtained below 85% which was considered low. All discharge variations, showing irrigation radius (R) about 5 m. So at r4 sprinkler spacing, it is not recommended in irrigation applications.

Predictable Scenarios of Fuzzy Logic Analysis for Sprinkler Irrigation Control

2021 ◽  
pp. 210-235
Author(s):  
Mohamed Elsayed Elhagarey ◽  
Mohamed M. Hushki ◽  
Szabo E. Istvan
Keyword(s):  
Fuzzy Inference ◽  
Irrigation System ◽  
Sprinkler Irrigation ◽  
Irrigation Performance ◽  
Centroid Method ◽  
Irrigation Practice ◽  
Personal Experiences ◽  
Triangular Function ◽  
Common Technique ◽  
Fuzzy Logic Analysis

MATLAB will be utilized to validate the various irrigation systems and report it; the air temperature, wind, and humidity will be member functions to improve the efficiency of irrigation performance before the irrigation process, and the fuzzy information system consists of fuzzy rules, which are derived from information of experts or from input-output learning of the system. Rules mimic human reasoning. Mamdani method is mostly applied in the fuzzy inference technique, and the generalized bell function is used for both of temperature and wind where the triangular function used for humidity. The principles were based on the last experiments and personal experiences, and the output will change into a crisp value from this procedure of defuzzification. There are many different methods to do defuzzification, but the most common technique is centroid method. The resultant surface graphic is enough to monitor, validate, and report the irrigation system efficiency to execute and schedule the irrigation practice management.

Problems Associated with Particulate Matter in Water Reuse for Agricultural Irrigation and Their Prevention

1986 ◽  
Vol 18 (9) ◽  
pp. 185-195 ◽  
Author(s):  
A. Adin
Keyword(s):  
Water Quality ◽  
Drip Irrigation ◽  
Distribution System ◽  
Water Reuse ◽  
Sprinkler Irrigation ◽  
Water Quality Monitoring ◽  
Chemical Precipitation ◽  
Surface Irrigation ◽  
Irrigation Systems

Methods of irrigation are reviewed, including surface irrigation, sprinkler irrigation and drip irrigation, and the problems of these systems with regard to the quality of the water used are described. Surface irrigation does not suffer much from water quality problems, but both sprinkler irrigation and drip irrigation systems are more affected, the main problem being clogging of pumps, pipes and orifices. Clogging is usually due to a combination of suspended matter, chemical precipitation and biological growth. Current solutions through water treatment, and associated problems with this, are described, with examples given of typical strainers and filters. The key to the solution of clogging problems is a proper match between water quality of the source and within the distribution system, and the type ot treatment to be used, therefore, proper water quality monitoring is recommended. Direct granular filtration is the most preferaDle treatment process for drip irrigation systems.

scholarly journals Seasonal on-farm irrigation performance in the Ebro basin (Spain): Crops and irrigation systems

2011 ◽  
Vol 98 (4) ◽  
pp. 577-587 ◽  
Author(s):  
R. Salvador ◽  
A. Martínez-Cob ◽  
J. Cavero ◽  
E. Playán
Keyword(s):  
Irrigation Performance ◽  
Ebro Basin ◽  
Irrigation Systems ◽  
On Farm

scholarly journals From on-farm solid-set sprinkler irrigation design to collective irrigation network design in windy areas

2007 ◽  
Vol 87 (2) ◽  
pp. 187-199 ◽  
Author(s):  
N. Zapata ◽  
E. Playán ◽  
A. Martínez-Cob ◽  
I. Sánchez ◽  
J.M. Faci ◽  
...  
Keyword(s):  
Network Design ◽  
Sprinkler Irrigation ◽  
Irrigation Network ◽  
Irrigation Design ◽  
On Farm

Factors Affecting Seed Coat Yellowing of Pinto Beans

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 458c-458
Author(s):  
Muharrem Ergun ◽  
E.T. Paparozzi ◽  
D. Nuland ◽  
D.P. Coyne ◽  
D. Smith
Keyword(s):  
Seed Coat ◽  
Sprinkler Irrigation ◽  
Field Trials ◽  
Weather Data ◽  
Factors Affecting ◽  
Cultural Conditions ◽  
Pigment Extraction ◽  
Pinto Bean ◽  
Pinto Beans ◽  
On Farm

The pinto bean breeding line 94-4 (Phaseolus vulgaris L.) showed seed coat yellowing in on-farm field trials in Nebraska in 1996. After reviewing weather data, sprinkler irrigation appeared to be one of the cultural factors involved with increase in seed coat yellowing. Cultural conditions were again investigated in 1997 in on-farm trials. In one test half of the NE 94-4 plants were cut and combined promptly while the other half of the cut plants were left on the ground, rained upon, and combined later. Seed from the pods of former and latter treatments were compared for degree of seed coat yellowing. Yellowing was recorded visually by determining percentage of the yellow area on a bean seed. The seed from the pods of the cut wetted plants showed more discoloration than seed from the plants that were not rained on. In another experiment two or four samples (40 g each) were taken from each of seven cultivars as well as NE 94-4 to determine degree of yellow discoloration of seed. The percent seed coat yellowing of the varieties/line was as follows: `Apache' 12.5%, `Bill Z' 14.9%, `Buckskin' 20.7%, `Chase' 9.2%, `NE-94-4' 54.1%, `179' 48%, `Vision' 35.5%, `Winchester' 10%. Results of pigment extraction and simulated irrigation experiments will be presented in order to better explain the cause of pinto seed coat yellowing.

Analysis of on-farm irrigation performance in Mediterranean greenhouses

2007 ◽  
Vol 89 (3) ◽  
pp. 251-260 ◽  
Author(s):  
M.D. Fernández ◽  
A.M. González ◽  
J. Carreño ◽  
C. Pérez ◽  
S. Bonachela
Keyword(s):  
Irrigation Performance ◽  
On Farm
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