The Optimum Allocation For Irrigation Water of Agricultural Crops in Iraq During The Average Period (2017-2020) Using Linear Programming Method

Abstract The research aims to study the optimal allocation of irrigation water that is used to irrigate various agricultural crops at the level of Iraq. In order to achieve the research aim, two economic models were formulated according to the Simplex Algorithm. The two models included forty agricultural crops, which were restricted by twenty specific production resources. The estimated results indicated that there is a surplus of the water resource for both the actual crop composition plan and the proposed basic plans for the two estimated models amounting to about 30.943, 35.357 and 31.097 billion cubic meters for each plan, respectively, compared to the quantities of water available for agricultural use. The results of the analysis of the two estimated models indicated to prefer the results of plans with legislative restrictions due to the expansion of the area of strategic and important crops for local consumption, with less needs of water.

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Optimal Allocation and Scale Operation of Agricultural Machinery Based on Mathematical Planning Method

Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) ◽

10.2174/2352096514666210617124543 ◽

2021 ◽

Vol 14 ◽

Author(s):

Haixuan Wang ◽

Chong Ye ◽

Anil Sharma

Keyword(s):

Mathematical Model ◽

Linear Programming ◽

Production Efficiency ◽

Optimal Allocation ◽

Programming Method ◽

Harvest Time ◽

Agricultural Machinery ◽

Linear Programming Method ◽

Non Linear Programming ◽

Non Linear

Background: To study the application of the mathematical programming method in agricultural machinery operation optimal allocation and scale management, this paper adopts the non-linear programming method to establish the relevant mathematical model. Methodology: This paper investigates the crop planting area, mechanization level, and agronomic direction requirements, production situation and technological process of corn planting mode. Results: The structure of agricultural machinery equipment is relatively reasonable, and the production efficiency is high. In the whole process of corn production, 11.195 million yuan of maize production value was optimized. The proper harvest time of corn was 5 days, the planting time of wheat was 26 days, and the harvest time of wheat was 10 days. Conclusion: The optimal allocation quantity of agricultural machinery system is calculated by lingo software, and the mathematical model is established by non-linear programming method, which can prove to be time and cost-effective.

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OPTIMIZATION OF IRRIGATION WATER DISTRIBUTION USING THE MGA METHOD AND COMPARISON WITH A LINEAR PROGRAMMING METHOD

Irrigation and Drainage ◽

10.1002/ird.1869 ◽

2014 ◽

Vol 63 (5) ◽

pp. 590-598 ◽

Cited By ~ 3

Author(s):

Arash Tafteh ◽

Hossein Babazadeh ◽

Niaz Ali Ebrahimipak ◽

Feridon Kaveh

Keyword(s):

Linear Programming ◽

Irrigation Water ◽

Water Distribution ◽

Programming Method ◽

Linear Programming Method

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OPTIMASI FAKTOR PRODUKSI UNTUK MAKSIMASI KEUNTUNGAN USAHA BUDI DAYA RUMPUT LAUT DI DESA SATHEAN KECAMATAN KEI KECIL

Jurnal Sosial Ekonomi Kelautan dan Perikanan ◽

10.15578/jsekp.v12i1.6312 ◽

2017 ◽

Vol 12 (1) ◽

pp. 45

Author(s):

Eygner Talakua

Keyword(s):

Linear Programming ◽

Optimal Allocation ◽

Primary Data ◽

Seaweed Cultivation ◽

Working Capital ◽

Linear Programming Method ◽

Production Factors ◽

Maximum Profit ◽

The Village

Keterbatasan faktor produksi seperti bibit, modal, dan tenaga kerja dalam menjalankan usahabudi daya rumput laut berdampak pada keuntungan yang akan diperoleh. Kondisi ini menuntut pemilikusaha budi daya rumput laut di Desa Sathean harus mampu mengelola usahanya dengan baik, terkaitpenentuan jumlah faktor produksi yang sifatnya terbatas untuk memperoleh keuntungan usaha yangmaksimal. Untuk itu tujuan penelitian ini adalah menganalisis alokasi faktor produksi yang optimaldan mengkaji keuntungan maksimum yang dapat diperoleh pada usaha budi daya rumput laut diDesa Sathean Kecamatan Kei Kecil. Data primer dikumpulkan dari 15 responden melalui wawancarasecara langsung dengan kuesioner dan pengamatan secara langsung terhadap obyek yang diteliti.Data dianalisis menggunakan metode pemrograman linier (linear programming) dan hasil dianalisissecara deskriptif kuantitatif. Hasil penelitian menunjukkan bahwa alokasi faktor produksi yang optimaluntuk tiap kegiatan produksi budi daya rumput laut adalah penggunaan luas area budi daya seluas7.058 m2 atau 0,7058 ha, penggunaan modal kerja sebesar Rp.891.907,1 penggunaan bibit sebanyak157,47 kg, dan penggunaan tenaga kerja sebanyak 1.403 HOK, sehingga dapat memaksimalkankeuntungan yang dapat diperoleh usaha budi daya rumput laut di Desa Sathean Kecamatan Kei Kecilsebesar Rp.5.010.716,- tiap kegiatan produksi budi daya rumput laut.Title: Optimizing Production Factors to Profit Maximize of Seaweed Cultivation in the Sathean Village of Kei Kecil SubdistrictLimitations of production factors such as seeds, capital, and labor in carrying seaweed cultivationimpact on profits to be earned. These conditions require the owner of seaweed cultivation in the SatheanVillage should be able to manage their business well, related to the determination of the amount ofproduction factors that are limited to gain maximum business. For the purpose of this study is to analyzethe optimal allocation of production factors and assess the maximum profit that can be obtained onseaweed cultivation in the Sathean Village of Kei Kecil Subistrict. Primary data was collected from 15respondents through direct interviews with questionnaires and direct observation of the object studied.Data were analyzed using linear programming method and the results were analyzed descriptivelyquantitative. The results showed that the optimal allocation of factors of production for each productionactivity of seaweed cultivation is the use of the area cultivated an area of 7,058 m2 or 0.7058 ha, the useof working capital of 891.907.1 IDR use as much as 157.47 kg of seeds, and the use of labor as many as1,403 HOK, so as to maximize the benefits that can be obtained seaweed cultivation in the village of KeiKecil Sathean District of 5,010,716 IDR,- per activity seaweed cultivation production.

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A Two-Step Infinite α-Cuts Fuzzy Linear Programming Method in Determination of Optimal Allocation Strategies in Agricultural Irrigation Systems

Water Resources Management ◽

10.1007/s11269-008-9380-3 ◽

2008 ◽

Vol 23 (11) ◽

pp. 2249-2269 ◽

Cited By ~ 23

Author(s):

H. W. Lu ◽

G. H. Huang ◽

Y. P. Lin ◽

L. He

Keyword(s):

Linear Programming ◽

Optimal Allocation ◽

Fuzzy Linear Programming ◽

Programming Method ◽

Agricultural Irrigation ◽

Linear Programming Method ◽

Irrigation Systems ◽

Allocation Strategies

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Algorithm for optimal allocation of limited resources based on the game iteration method

Informacionno-technologicheskij vestnik ◽

10.21499/2409-1650-2019-2-89-99 ◽

2019 ◽

pp. 89-99

Author(s):

V. Ya. Vilisov

Keyword(s):

Optimal Control ◽

Linear Programming ◽

Embedded Systems ◽

Iterative Method ◽

High Speed ◽

Optimal Allocation ◽

Software Implementation ◽

Limited Resources ◽

Matrix Game ◽

Acceptable Accuracy

The article proposes an algorithm for solving a linear programming problem (LPP) based on the use of its representation in the form of an antagonistic matrix game and the subsequent solution of the game by an iterative method. The algorithm is implemented as a computer program. The rate of convergence of the estimates of the solution to the actual value with the required accuracy has been studied. The software implementation shows a high speed of obtaining the LPP solution with acceptable accuracy in fractions or units of seconds. This allows the use algorithm in embedded systems for optimal control.

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Agricultural Use of Reclaimed Water - Experiences in Jordan

Water Practice & Technology ◽

10.2166/wpt.2006.040 ◽

2006 ◽

Vol 1 (2) ◽

Cited By ~ 2

Author(s):

Artur Vallentin

Keyword(s):

Water Management ◽

Irrigation Water ◽

Reclaimed Water ◽

Monitoring Systems ◽

Jordan Valley ◽

Water Management System ◽

Agricultural Use ◽

Safe Food ◽

Framework Conditions ◽

National Water

Due to extreme water scarcity Jordan is integrating reclaimed water resources in the national water management system. This paper describes the recent framework conditions for reclaimed water use in agriculture in Jordan, with a focus on the central and southern Jordan Valley. The possible impacts of lower quality irrigation water on soil, groundwater, crops and human health are considered while appropriate guidelines and monitoring proposals are being developed. Testing of the guidelines and implementation of the monitoring systems have started with the final purpose of integrating them into the Jordanian standard and legal system and thus ensuring safe food for consumers and protection of the environment.

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Multi-Objective Fuzzy Linear Programming for Land Allocation under Different Crops in Bhagwanpur Distributary

Journal of AgriSearch ◽

10.21921/jas.v6i04.16902 ◽

2019 ◽

Vol 6 (04) ◽

Author(s):

ASHUTOSH UPADHYAYA

Keyword(s):

Linear Programming ◽

Crop Production ◽

Fuzzy Linear Programming ◽

Programming Method ◽

Command Area ◽

Linear Programming Method ◽

Net Return ◽

Multi Objective ◽

Labour Requirement ◽

Canal Command Area

A study was undertaken in Bhagwanpur distributary of Vaishali Branch Canal in Gandak Canal Command Area, Bihar to optimally allocate land area under different crops (rice and maize in kharif, wheat, lentil, potato in rabi and green gram in summer) in such a manner that maximizes net return, maximizes crop production and minimizes labour requirement employing simplex linear programming method and Multi-Objective Fuzzy Linear Programming (MOFLP) method. Maximum net return, maximum agricultural production, and minimum labour required under defined constraints (including 10% affinity level of farmers to rice and wheat crops) as obtained employing Simplex method were ` 3.7 × 108, 5.06 × 107 Kg and 66,092 man-days, respectively, whereas Multi-Objective Fuzzy Linear Programming (MOFLP) method yielded compromised solution with net return, crop production and labour required as ` 2.4 × 108, 3.3 × 107Kg and 1,79,313 man-days, respectively. As the affinity level of farmers to rice and wheat crops increased from 10% to 40%, maximum net return and maximum production as obtained from simplex linear programming method and MOFLP followed a decreasing trend and minimum labour required followed an increasing trend. MOFLP may be considered as one of the best capable ways of providing a compromised solution, which can fulfill all the objectives at a time.

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SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-020-01334-4 ◽

2020 ◽

Vol 20 (S11) ◽

Author(s):

Gaurav Rao ◽

Salimur Choudhury ◽

Pawan Lingras ◽

David Savage ◽

Vijay Mago

Keyword(s):

Cardiac Arrest ◽

Linear Programming ◽

Integer Linear Programming ◽

Processing Time ◽

Emergency Services ◽

Linear Programming Method ◽

Bipartite Matching ◽

Matching Algorithm ◽

Hospital Cardiac Arrest ◽

Cardiac Emergency

Abstract Background When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if the option is available. The RNS notifies all the registered users in the vicinity of the cardiac arrest patient by sending alerts to their mobile devices, which contains the location of the emergency. The main objective of this research is to find the best match between the user who could support the OHCA patient. Methods For performing matching among the user and the AEDs, we used Bipartite Matching and Integer Linear Programming. However, these approaches take a longer processing time; therefore, a new method Preprocessed Integer Linear Programming is proposed that solves the problem faster than the other two techniques. Results The average processing time for the experimentation data was 1850 s using Bipartite matching, 32 s using the Integer Linear Programming and 2 s when using the Preprocessed Integer Linear Programming method. The proposed algorithm performs matching among users and AEDs faster than the existing matching algorithm and thus allowing it to be used in the real world. Conclusion: This research proposes an efficient algorithm that will allow matching of users with AED in real-time during cardiac emergency. Implementation of this system can help in reducing the time to resuscitate the patient.

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