scholarly journals Water use optimization through alternative water depths in the Formoso Irrigation District

2015 ◽  
Vol 19 (7) ◽  
pp. 621-629 ◽  
Author(s):  
Jorge L. C. dos Santos Júnior ◽  
José A. Frizone ◽  
Vital P. da S. Paz
Keyword(s):  
Crop Production ◽  
Programming Model ◽  
Optimal Solution ◽  
Production Costs ◽  
Irrigation District ◽  
Water Volume ◽  
Net Revenue ◽  
Alternative Water ◽  
Water Response ◽  
Water Depths

This study aimed to propose an optimal cultivation plan using a separable linear programming model, with alternative water depths, that allows maximizing the net revenue of the Formoso Irrigation District (FID), specifically with respect to the area of family plots. The model used in this study was based on data from the 2010 Annual Agricultural Report of the 2nd Regional Superintendency of CODEVASF (São Francisco and Parnaíba Valley Development Company), the 2011 Service and Extension Plan for the Formoso Irrigation District and further information provided by this government department. Based on the studied crops and their respective water response functions, on the constraints of cultivated area, prices and production costs, the maximization of the net revenue in the FID was equal to R$ 68,384,956.53, using the following cultivation pattern: 30 ha of pumpkin, 30 ha of Phaseolus beans, 977 ha of watermelon, 1868 ha of banana, 1200 ha of papaya and 300 ha of Tahiti lime. The optimal solution found by the model indicated that the monthly water availability in the FID did not constitute an effective restriction to crop production, since in all months the water volume needed was lower than the maximum volume that the FID can provide (10,833,500 m3). For the monthly volumes used in the solution, the available annual volume will not be restrictive if the annual pumping capacity is higher than 79,649,000 m3.

scholarly journals Agricultural Water Management Model Based on Grey Water Footprints under Uncertainty and its Application

2019 ◽  
Vol 11 (20) ◽  
pp. 5567 ◽  
Author(s):  
Ge Song ◽  
Chao Dai ◽  
Qian Tan ◽  
Shan Zhang
Keyword(s):  
Water Use ◽  
Crop Production ◽  
Water Footprint ◽  
Programming Model ◽  
Economic Benefits ◽  
Irrigation District ◽  
Agricultural Water ◽  
Grey Water ◽  
Availability Constraints ◽  
Negative Impacts

The grey water footprint theory was introduced into a fractional programming model to alleviate non-point source pollution and increase water-use efficiency through the adjustment of crop planting structure. The interval programming method was also incorporated within the developed framework to handle parametric uncertainties. The objective function of the model was the ratio of economic benefits to grey water footprints from crop production, and the constraints contained water availability constraints, food security constraints, planting area constraints, grey water footprint constraints and non-negative constraints. The model was applied to the Hetao Irrigation District of China. It was found that, based on the data in the year of 2016, the optimal planting plans generated from the developed model would reduce 34,400 m3 of grey water footprints for every 100 million Yuan gained from crops. Under the optimal planting structure, the total grey water footprints would be reduced by 21.9 million m3, the total economic benefits from crops would be increased by 1.138 billion Yuan, and the irrigation water would be saved by 44 million m3. The optimal results could provide decision-makers with agricultural water use plans with reduced negative impacts on the environment and enhanced economic benefits from crops.

scholarly journals Economic Analysis Determining the Optimal Replanting Age of Date Palm

2014 ◽  
Vol 19 ◽  
pp. 51
Author(s):  
Hemesiri B. Kotagama ◽  
Amani Juma T. Al-Alawi ◽  
Houcine Boughanmi ◽  
Slim Zekri ◽  
Msafiri Mbaga ◽  
...  
Keyword(s):  
Interest Rates ◽  
Date Palm ◽  
Programming Model ◽  
Production Costs ◽  
Analytical Models ◽  
Sultanate Of Oman ◽  
Date Palms ◽  
Low Interest Rates ◽  
Commercial Farms ◽  
Net Revenue

Two alternative analytical models were used to estimate the economically optimal age of replanting date palm, namely; Comparison of Equivalent Annual Net Revenue (CEAN) and Multi-Period Linear Programming Model (MPLP). Solution procedures of both models are based on the theory of optimal replacement of capital assets. Data on date palm age-yield relationship and other socioeconomic variables were gleaned through a farm survey of 34 large commercial farms, in Izki, Bahla, and Al-Hamra wilayats in the Al- Dakhilya governorate of the Sultanate of Oman. The study estimated the optimal age of replanting date palms as 50-55 years. Both models, CEAN and MPLP gave consistent estimates. The optimal age to replant date palms was sensitive only to changes in the interest rates. Low interest rates shortened the optimal age of date palm replanting. Changes in date price, yield and variable production costs did not change the optimal age of replanting date palms. The incremental revenue that could be accrued to the Sultanate of Oman through replanting date palms was estimated as 7 million OR/ year. 

scholarly journals OTIMIZAÇÃO ECONÔMICA DA EXPLORAÇÃO AGRÍCOLA PARA O DISTRITO DE IRRIGAÇÃO BAIXO ACARAÚ - CE, UTILIZANDO MODELO DE PROGRAMAÇÃO LINEAR

Irriga ◽  
2005 ◽  
Vol 10 (1) ◽  
pp. 30-45 ◽  
Author(s):  
Márcio Aurélio Lins dos Santos ◽  
Raimundo Nonato Távora Costa ◽  
José Vanglésio de Aguiar ◽  
Adunias Dos Santos Teixeira ◽  
Raimundo Rodrigues Gomes Filho
Keyword(s):  
Linear Programming ◽  
Programming Model ◽  
Production Costs ◽  
Irrigation District ◽  
Cropping Pattern ◽  
Small Farmers ◽  
Net Profit ◽  
Crop Types ◽  
Economical Optimization ◽  
Caixa Postal

OTIMIZAÇÃO ECONÔMICA DA EXPLORAÇÃO AGRÍCOLA PARA O DISTRITO DE IRRIGAÇÃO BAIXO ACARAÚ - CE, UTILIZANDO MODELO DE PROGRAMAÇÃO LINEAR  Márcio Aurélio Lins dos Santos1; Raimundo Nonato Távora Costa2; José Vanglésio de Aguiar2; Adunias dos Santos Teixeira2; Raimundo Rodrigues Gomes Filho31Departamento de Engenharia Rural, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo,Caixa Postal 9,CEP 14918-900, Piracicaba, SP,  [email protected] 2 Departamento de Engenharia Agrícola, Centro de Ciências Agrárias, Universidade Federal do Ceará, Fortaleza, CE3 Instituto Centro de Ensino Tecnológico, Curso de Tecnologia da Irrigação, Sobral, CE  1 RESUMO O objetivo do presente trabalho consistiu em propor alternativas das culturas e respectivas áreas a serem estabelecidas no Distrito de Irrigação Baixo Acaraú-CE, utilizando modelo de programação linear. O modelo de otimização visou a maximização da receita líquida do produtor, incorporando as restrições de disponibilidade de água, terra e mercado. Tomando-se por base as culturas consideradas, as restrições de área, água e mercado, os preços dos produtos e custos de produção, os resultados do estudo permitiram as seguintes conclusões: 1. A disponibilidade de água prevista para o Distrito para áreas de pequenos produtores, de técnicos em ciências agrárias e empresariais, se mostrou limitante no mês de outubro quanto ao uso total do recurso terra, ao considerar-se o estabelecimento das culturas propostas no plano que apresentou a melhor alternativa econômica; 2. A combinação de cultivo constituída por meloeiro no mês de maio, meloeiro no mês de setembro e milho verde foi a que apresentou maior nível de receita líquida para áreas de pequenos produtores, de técnicos em ciências agrárias e empresariais, correspondendo a R$13.909,00/ha/ano para pequenos produtores e técnicos em ciências agrárias e R$14.547,00 para empresários; 3. A análise de sensibilidade do recurso terra do plano ótimo de cultivo, apresentou preço-sombra diferente de zero no período de fevereiro a julho, indicando que esse recurso foi restritivo. UNITERMOS: programação linear, padrão de cultivo, irrigação.  SANTOS, M. A. L.; COSTA, R. N. T.; AGUIAR, J. V.; GOMES FILHO, R. R.A LINEAR PROGRAMMING MODEL FOR ECONOMICAL OPTIMIZATION OF AGRICULTURAL EXPLORATION TO THE  IRRIGATION DISTRICTOF SHALLOW ACARAÚ  2 ABSTRACT The aim of this work was to propose the “best” combination of crop types and respective areas for the Irrigation District of Baixo Acaraú-CE, using a linear programming (LP) algorithm. The optimization model aimed to maximize the producer’s net profit incorporating the constraints for water and land availability, and for the market. Considering crop types, land, water and market constraints, commodities and production costs, the study has concluded the following: 1. The availability of water to the Irrigation District of Baixo Acaraú for small farmers, entrepreneur technicians and corporations, was limited in the month of October for the total use of land if the presented culture proposals as the best economic alternative were considered; 2. The cultivation combination constituted by melon in May, melon in September and maize has shown greater net profit for small farmers, technicians and entrepreneurs corresponding to R$13,909.00/ha/year for small farmers, entrepreneur technicians and R$14,547.00/ha/year for Corporations; 3. The analysis of land sensitivity in the excellent cultivation plan presented price-shade different from zero from February to July, indicating that this resource was restrictive. KEYWORDS: linear programming, cropping pattern, irrigation.

DEVELOPMENT OF PRINCIPLES FOR THE DESIGN OF COMPLEX TECHNICAL MEANS AND TECHNOLOGICAL PROCESSES OF CROP PRODUCTION

1970 ◽  
pp. 70-72
Author(s):  
D. N. Radnaev ◽  
Yu. А. Sergeev ◽  
А. А. Abiduev ◽  
S. V. Petunov
Keyword(s):  
Crop Production ◽  
Design Methodology ◽  
Systematic Approach ◽  
Optimal Solution ◽  
Agricultural Science ◽  
Complex Objects ◽  
Technological Processes ◽  
Methods Of Synthesis ◽  
Working Bodies ◽  
Projected Process

Currently, agricultural science and practice has a large amount of experimental data that need to be taken into account in the development of new technological processes and working bodies. Therefore, there is a need to design technical processes in order to identify their effectiveness. In this regard, the use of methods of synthesis of technological processes based on the characteristics of tillage, seeding and production system of the economy, in which it is necessary to implement the projected process. In the General statement of the problem, the design of technological processes is one of the complex problems with the following characteristic feature: lack of knowledge about the methods of designing technological processes, suitable for system - structural modeling and algorithmization of design processes. To overcome this incompleteness, a systematic approach is needed. The system approach proceeds from the fact that the specificity of complex objects and processes is not limited to the features of its constituent parts and elements, but lies in the nature of relationships and relationships between them. In this paper, the design methodology is based on the formulated fundamental assumptions and principles of the whole system of more specific statements, revealing the structure and content of design operations, the synthesis of the choice of solutions. The principles of technological compatibility and emergence suitable for system-structural analysis of complex technical means and technological processes, consisting of statements having a hierarchical structure, where the degree of detail of the goals from level to level increases, and the approval of the last level determines the direction of the search for the optimal solution to the problem.

scholarly journals Wind Farm Cable Connection Layout Optimization with Several Substations

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3615
Author(s):  
Adelaide Cerveira ◽  
Eduardo J. Solteiro Pires ◽  
José Baptista
Keyword(s):  
Energy Production ◽  
Wind Farm ◽  
Programming Model ◽  
Optimal Solution ◽  
Wind Farms ◽  
Green Energy ◽  
Fossil Energy ◽  
Proposed Model ◽  
Short Time ◽  
Cable Connection

Green energy has become a media issue due to climate changes, and consequently, the population has become more aware of pollution. Wind farms are an essential energy production alternative to fossil energy. The incentive to produce wind energy was a government policy some decades ago to decrease carbon emissions. In recent decades, wind farms were formed by a substation and a couple of turbines. Nowadays, wind farms are designed with hundreds of turbines requiring more than one substation. This paper formulates an integer linear programming model to design wind farms’ cable layout with several turbines. The proposed model obtains the optimal solution considering different cable types, infrastructure costs, and energy losses. An additional constraint was considered to limit the number of cables that cross a walkway, i.e., the number of connections between a set of wind turbines and the remaining wind farm. Furthermore, considering a discrete set of possible turbine locations, the model allows identifying those that should be present in the optimal solution, thereby addressing the optimal location of the substation(s) in the wind farm. The paper illustrates solutions and the associated costs of two wind farms, with up to 102 turbines and three substations in the optimal solution, selected among sixteen possible places. The optimal solutions are obtained in a short time.

scholarly journals Economics of autonomous equipment for arable farms

2021 ◽  
Author(s):  
James Lowenberg-DeBoer ◽  
Kit Franklin ◽  
Karl Behrendt ◽  
Richard Godwin
Keyword(s):  
Precision Agriculture ◽  
Environmental Performance ◽  
Crop Production ◽  
Practical Experience ◽  
Production Costs ◽  
Farm Size ◽  
Medium Size ◽  
Economic Implications ◽  
The United Kingdom ◽  
Crop Agriculture

AbstractBy collecting more data at a higher resolution and by creating the capacity to implement detailed crop management, autonomous crop equipment has the potential to revolutionise precision agriculture (PA), but unless farmers find autonomous equipment profitable it is unlikely to be widely adopted. The objective of this study was to identify the potential economic implications of autonomous crop equipment for arable agriculture using a grain-oilseed farm in the United Kingdom as an example. The study is possible because the Hands Free Hectare (HFH) demonstration project at Harper Adams University has produced grain with autonomous equipment since 2017. That practical experience showed the technical feasibility of autonomous grain production and provides parameters for farm-level linear programming (LP) to estimate farm management opportunities when autonomous equipment is available. The study shows that arable crop production with autonomous equipment is technically and economically feasible, allowing medium size farms to approach minimum per unit production cost levels. The ability to achieve minimum production costs at relatively modest farm size means that the pressure to “get big or get out” will diminish. Costs of production that are internationally competitive will mean reduced need for government subsidies and greater independence for farmers. The ability of autonomous equipment to achieve minimum production costs even on small, irregularly shaped fields will improve environmental performance of crop agriculture by reducing pressure to remove hedges, fell infield trees and enlarge fields.

scholarly journals Plant uptake of nitrogen adsorbed to biochars made from dairy manure

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Leilah Krounbi ◽  
Akio Enders ◽  
John Gaunt ◽  
Margaret Ball ◽  
Johannes Lehmann
Keyword(s):  
New York ◽  
Crop Production ◽  
Liquid Fraction ◽  
N Uptake ◽  
Dry Weight ◽  
Dairy Manure ◽  
Production Costs ◽  
Available N ◽  
Dairy Waste ◽  
Pre Treatment

AbstractThe conversion of dairy waste with high moisture contents to dry fertilizers may reduce environmental degradation while lowering crop production costs. We converted the solid portion of screw-pressed dairy manure into a sorbent for volatile ammonia (NH3) in the liquid fraction using pyrolysis and pre-treatment with carbon dioxide (CO2). The extractable N in manure biochar exposed to NH3 following CO2 pre-treatment reached 3.36 g N kg−1, 1260-fold greater extractable N than in untreated manure biochar. Ammonia exposure was 142-times more effective in increasing extractable N than immersing manure biochar in the liquid fraction containing dissolved ammonium. Radish and tomato grown in horticultural media with manure biochar treated with CO2 + NH3 promoted up to 35% greater plant growth (dry weight) and 36–83% greater N uptake compared to manure biochar alone. Uptake of N was similar between plants grown with wood biochar exposed to CO2 + NH3, compared to N-equivalent treatments. The available N in dairy waste in New York (NY) state, if pyrolyzed and treated with NH3 + CO2, is equivalent to 11,732–42,232 Mg N year−1, valued at 6–21.5 million USD year−1. Separated dairy manure treated with CO2 + NH3 can offset 23–82% of N fertilizer needs of NY State, while stabilizing both the solid and liquid fraction of manure for reduced environmental pollution.

A fuzzy multi-objective programming optimization model for emergency resource dispatching under equitable distribution principle

2021 ◽  
pp. 1-10
Author(s):  
Zhaoping Tang ◽  
Wenda Li ◽  
Shijun Yu ◽  
Jianping Sun
Keyword(s):  
Optimization Model ◽  
Programming Model ◽  
Ideal Point ◽  
Optimal Solution ◽  
Multi Objective ◽  
Emergency Rescue ◽  
Satisfaction Degree ◽  
Multi Objective Programming ◽  
Parameter Interval ◽  
Objective Programming

In the initial stage of emergency rescue for major railway emergencies, there may be insufficient emergency resources. In order to ensure that all the emergency demand points can be effectively and fairly rescued, considering the fuzzy properties of the parameters, such as the resource demand quantity, the dispatching time and the satisfaction degree, the railway emergency resources dispatching optimization model is studied, with multi- demand point, multi-depot, and multi-resource. Based on railway rescue features, it was proposed that the couple number of relief point - emergency point is the key to affect railway rescue cost and efficiency. Under the premise of the maximum satisfaction degree of quantity demanded at all emergency points, a multi-objective programming model is established by maximizing the satisfaction degree of dispatching time and the satisfaction degree of the couple number of relief point - emergency point. Combined with the ideal point method, a restrictive parameter interval method for optimal solution was designed, which can realize the quick seek of Pareto optimal solution. Furthermore, an example is given to verify the feasibility and effectiveness of the method.

scholarly journals OPTIMAL SOLUTION FOR THE DISTRIBUTION OF BY-PRODUCTS IN DISPOSAL UNIT

2017 ◽  
Vol 5 (4RAST) ◽  
pp. 59-63 ◽  
Author(s):  
Jyothi P ◽  
Vatsala G A ◽  
Radha Gupta
Keyword(s):  
Waste Disposal ◽  
Goal Programming ◽  
Programming Model ◽  
Optimal Solution ◽  
Optimization Techniques ◽  
Programming Technique ◽  
Emerging Industries ◽  
Goal Programming Model ◽  
Net Profit ◽  
By Products

In present scenario, Waste disposal unit is one of the emerging industries. The process of collection of wastes, segregation of wastes, recycling the wastes and manufacturing by-products and selling the by-products are the major works are undertaken into consideration.  Any business expectation is to get the profit.  Our study is to formulate goal programming model which helps in maximizing the profit by identifying the deviation of goals in the disposal unit. Goal Programming technique is one of the optimization techniques. Manager of the disposal unit can takes the better decision using the deviation of goals. Pre emptive Goals of the study are (i) minimizing the expenditure of the unit and recycling cost of the wastes ii) boosting the net profit of the unit    iii) Maintaining the supply of by-products to each location within the maximum demand iv) Fulfilling demand of by- products in different locations v) Maintaining the minimum supply of recycled by-products to 5 different locations must be at least one.

scholarly journals Diversification of Local Tubers through Optimization of Cocoa Farming in Supporting Sustainable Food Security

2021 ◽  
Vol 940 (1) ◽  
pp. 012089
Author(s):  
H Pribadi ◽  
S Jumiyati ◽  
A Muis ◽  
I K Widnyana ◽  
J Mustabi
Keyword(s):  
Land Use ◽  
Food Security ◽  
Sweet Potato ◽  
Crop Production ◽  
Calorific Value ◽  
Buffer Zone ◽  
Production Costs ◽  
World Population ◽  
Sweet Potatoes ◽  
Sustainable Food

Abstract The rate of world population growth gets faster every year, while on the other hand the land available for food production activities is increasingly limited. Efforts to increase income and food crop production by using cocoa farming to support national food security can be done by optimizing of land through crop diversification patterns by planting local tubers under cocoa farming. This research aims to analyze the optimization of land use, revenue and production costs. In addition, analyzing the nutritional content contained in each type of local tubers, namely sweet potato, cassava and taro. The research was conducted in the the buffer zone of Lore Lindu National Park (TNLL), Palolo District, Sigi Regency, Central Sulawesi Province, Indonesia. The results showed that the optimization of land use and revenue was obtained through the diversification pattern of sweet potato and cocoa. Optimization of the costs use occurs in the use of fertilizer production inputs. In addition, sweet potatoes have a higher calorific value, protein and fat compared to cassava and taro. However, the carbohydrate content of cassava is higher than that of sweet potato and taro.

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