scholarly journals A Multi-Objective Model Exploration of Banana-Canopy Management and Nutrient Input Scenarios for Optimal Banana-Legume Intercrop Performance

Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 311
Author(s):  
Walter Ocimati ◽  
Jeroen C. J. Groot ◽  
Guy Blomme ◽  
Carl J. Timler ◽  
Roseline Remans ◽  
...  

Bananas on smallholder farmers in the African Great Lakes region are often pruned to illuminate shorter understory intercrops, reducing overall farm profitability. The impact of this practice on environmental and nutritional indicators are not known. This study determined the effect of this practice on operating profit, protein yield, soil organic matter (SOM) balance, and nitrogen input; and the management options for optimal performance of the intercrops. Alternative scenarios for improving soil nutrient balances of the system were also explored. Data from an experiment intercropping bush beans with banana at three leaf pruning levels (i.e., retaining all, seven, and four leaves) was used as the input for the multi-objective optimization FarmDESIGN model. Retention of four functional leaves mimicked a worst-case scenario observed on farms. Banana and bush bean monocrops served as controls. The model maximized operating profit, protein yield, and SOM, and minimized nitrogen input. Nutrient input scenarios in which (i) farmyard manure was only applied at planting (business as usual (‘BaU’)); and ‘BaU’, was combined with (ii) hedges, (iii) inorganic fertilizers, (iv) hedges and goat manure, (v) hedges and inorganic fertilizers, (vi) inorganic fertilizers and goat manure, and (vii) hedges, inorganic fertilizers, and goat manure, were also explored. Severe banana leaf pruning reduced profitability, SOM, and protein yield, although it’s less nutrient demanding. In contrast, the “un-pruned banana-bush bean intercrop” and “sole banana crop” had a higher profitability, SOM balance, and protein yield, whereas they demand more soil nutrients. No profound improvements in operating profit, SOM balance, and protein yield occurred for ‘BaU’, while hedges resulted in mild improvements. Profound improvements in all objectives occurred with the addition of the inorganic fertilizers, while goat manure resulted in a high SOM balance and N input. For ‘BaU’ and hedges, “severely pruned banana-bush bean intercrop” dominated the optimal solution set for improving farm performance. In contrast, when the inorganic fertilizers and/or goat manure was introduced, “un-pruned banana-bush bean intercrop” and/or “sole un-pruned banana crop” were the optimal solutions. The study confirms severe leaf pruning to negatively impact profitability, while the more profitable un-pruned crop options are unsustainable without external input of nutrients. Thus, investments in external inputs are crucial for a sustainable banana-intercrop system. The FarmDESIGN model made the trade-offs and synergies in this complex intercrop system explicit, thus was also helpful for field-level decision making.

Author(s):  
Chunyu Liu ◽  
Fengrui Mu ◽  
Weilong Zhang

Background: In recent era of technology, the traditional Ant Colony Algorithm (ACO) is insufficient in solving the problem of network congestion and load balance, and network utilization. Methods: This paper proposes an improved ant colony algorithm, which considers the price factor based on the theory of elasticity of demand. The price factor is denominated in the impact on the network load which means indirect control of network load, congestion or auxiliary solution to calculate the idle resources caused by the low network utilization and reduced profits. Results: Experimental results show that the improved algorithm can balance the overall network load, extend the life of path by nearly 3 hours, greatly reduce the risk of network paralysis, and increase the profit of the manufacturer by 300 million Yuan. Conclusion: Furthermore, results shows that the improved method has a great application value in improving the network efficiency, balancing network load, prolonging network life and increasing network operating profit.


2014 ◽  
Vol 529 ◽  
pp. 455-459
Author(s):  
Nan Xu ◽  
Shan Shan Li ◽  
Hao Ming Liu

Considering the probabilistic of the wind power and the solar power, a fault recovery method for distribution systems with the wind power and the solar power is presented in this paper. For the wind power, a simplified steady-state equivalent model of an asynchronous wind generator is added into the Jacobian matrix to consider the impact of the wind power on systems. For the solar power, its output is considered as an injected power which is related with solar irradiance. Three-point estimate is employed to solve the probabilistic power flow of distribution systems with the wind power and the solar power. The restoration is described as a multi-objective problem with the mean of the system loss and the number of switch operations. Fast elitist non-dominated sorting partheno-genetic algorithm is used to solve this multi-objective problem. IEEE 33-bus system is used as an example and the results show that the models and algorithms in this paper are efficient.


Utafiti ◽  
2015 ◽  
Vol 11 (1-2) ◽  
pp. 33-66
Author(s):  
Onesmo Selijio

Land management and conservation have been considered the most important aspects of sustainable productivity in economically developing countries where land degradation is a major challenge. In Tanzania, both the government and international organizations have been promoting adoption of land management and conservation technologies (LMCTs) for a long time. This paper establishes the impact of three LMCTs – soil water conservation technologies and erosion control (SWCEC), organic and inorganic fertilizers – on maize crop yields in different rainfall zones, using national panel survey data. The study employs static panel models to analyse the two-period data sets for 2008-2009 and 2010-2011. The results indicate that adoption of LMCTs do contribute significantly to maize yield. The greatest effects of organic and SWCEC methods on crop yield were realized in low rainfall zones, while that of inorganic fertilizers was observed in high rainfall zones. These findings support previous cross-sectional data analyses, suggesting for policy makers that a blanket land management and conservation programme applied uniformly to all agro-ecological zones is not strategically beneficial. The advisability of a technology employed in a given zone should be supported by local knowledge and research findings culled from that particular area.


Author(s):  
M.Yousaf Raza ◽  
Muhammad Bashir ◽  
Khalid Latif ◽  
Touqeer Sultan Shah ◽  
Mushtaq Ahmed

This study explores the impact of working capital management on the profitability of the firms in the oil sector of Pakistan. For the purpose of testing this relationship data from the annual reports of the sample companies is used from the period 2006 to 2010. Cash conversion cycles (CCC), average receivable, Average inventory, average payable, and current ratio are used as a measure of working capital management, while gross operating profit is used as a measure of profitability of the firm. There are three major issues in financial management that are capital budgeting, capital structure, and working capital management. So working capital management is one of the three major issues in financial management. A commercial firm consists of two types of assets, which are fixed assets and current assets. Current assets of a firm consist of cash, bank balance, account receivable, raw material, work in process, and finished goods. While fixed assets of the business require capital expenditure and these are used in increasing the production of the business, the Current assets are used in utilizing the fixed assets in day to day transactions.  Hence Current assets are regarded as lifeblood for any business firm, the play vital role in the daily operations of the business. Current assets and current liabilities regarded as are very important component of total assets and they need to be carefully managed for the long term success of the business. In this paper working capital management provide us profit by using average payable and gross operating profit but other variables in hypothesis shows negative relationships with each other.


2020 ◽  
Vol 17 (3) ◽  
pp. 25-36
Author(s):  
M. I. Lugachev ◽  
N. V. Ulianova ◽  
K. G. Skripkin

The purpose of the article is to theoretically prove the possibility of generating forecast information in the balance-sheet regarding profit indicators, net inflow of operating money and financial capital. According to the authors, the system of these indicators is revealed in dynamics, thus reflecting the impact of profit on the financial condition of the organization. A logical and accounting balance-sheet relationship is established between actual and forecast indicators that characterize the financial condition in the past and future. By analyzing the processes in the operating cycle, the economic and financial feasibility of operating profit as a net cash flow from operating activities is theoretically proved. Based on the process approach and the induction method, the indicator of operating profit is included in the valuation of the asset and liability side of the balance-sheet, thereby developing the valuation method and forming a new forecast model of balance-sheet generalizations. The content of the forecast model of balance is described in the form of a balance equation. The obtained theoretical conclusions are verified experimentally.As a result, the asset of the balance-sheet reflects the process of transforming the value of operational resources into their selling price, and the forecast operating profit is generated in the liability side of the balance-sheet, which relates to assets and liabilities recognized in accounting at the current time. Cost parameter and value index are introduced, which characterize the indicators of income and expenses as the transformation of operational resources. Any change in the cost of resources used and the possible price (value) of their sale is reflected in the balance-sheet and affects the change in the estimate of forecast operating profit in real time. At the same time, due to the simultaneous recognition in the balance-sheet of actual and forecast estimates of assets and liabilities and the indicator of forecast operating profit, the indicator of financial capital receives a new interpretation. If we compare the value of assets and accounts payable, then financial capital characterizes the security of operating activities with own sources of financing in the past. If we compare the selling price of assets and account payable, then financial capital shows the forecast for repayment of account payable at the expense of own funds in the future. Consequently, the transition from actual to forecast estimates in the balance-sheet reveals the process of the circulation of operating capital and shows how much profit is provided by investments in working stocks made in the past. Due to the double recording method, any forecast estimates can be verified by the user, which increases the reliability of the forecast information in the balance-sheet.In fact, the balance-sheet is interpreted as a new method of analysis and forecasting of financial and economic indicators characterizing the activities of the organization. At the same time, it is not necessary to perform additional analytical calculations, forecast operating profit and analysis of its impact on financial capital can be carried out in real time as often as accounting entries are made that affect the change in working capital.


2021 ◽  
Vol 11 (17) ◽  
pp. 8071
Author(s):  
Zujin Jin ◽  
Gang Cheng ◽  
Yusong Pang ◽  
Shichang Xu ◽  
Dunpeng Yuan

During the processing of an optical mirror, the performance parameters of the bottom support system would affect the surface forming accuracy of the mirror. The traditional bottom support system has a large unadjustable support stiffness, which increases the difficulty of unloading the impact force generated by the grinding disc. In response to this scenario, a flexible support system (FSS) consisting of 36 support cylinders with beryllium bronze reeds (BBRs) and rolling diaphragms (RDs) as key components is designed. It is necessary to analyze the key components of the support cylinder to reduce its axial movement resistance, ensure a consistent force output of each support point. First, the internal resistance model of a flexible support cylinder is established, and the main factors of internal resistance are then analyzed. Thereafter, the multi-objective structural parameters of the BBR and RD are simulated in ANSYS using the control variable method. The optimal structural parameters of BBR and RD are determined by simulation. Finally, experiments are performed on the RD ultimate pressure, internal resistance of the support cylinder, and consistency of the force output of the FSS. The experimental results show that the support cylinder with the optimized design has good force output consistency, which provides a theoretical basis for the application of FSS in optical mirror processing.


Author(s):  
Sandhya Saisubramanian ◽  
Ece Kamar ◽  
Shlomo Zilberstein

Agents operating in unstructured environments often create negative side effects (NSE) that may not be easy to identify at design time. We examine how various forms of human feedback or autonomous exploration can be used to learn a penalty function associated with NSE during system deployment. We formulate the problem of mitigating the impact of NSE as a multi-objective Markov decision process with lexicographic reward preferences and slack. The slack denotes the maximum deviation from an optimal policy with respect to the agent's primary objective allowed in order to mitigate NSE as a secondary objective. Empirical evaluation of our approach shows that the proposed framework can successfully mitigate NSE and that different feedback mechanisms introduce different biases, which influence the identification of NSE.


2018 ◽  
Vol 20 (4) ◽  
pp. 864-885 ◽  
Author(s):  
Younggu Her ◽  
Chounghyun Seong

Abstract Multi-objective calibration can help identify parameter sets that represent a hydrological system and enable further constraining of the parameter space. Multi-objective calibration is expected to be more frequently utilized, along with the advances in optimization algorithms and computing resources. However, the impact of the number of objective functions on modeling outputs is still unclear, and the adequate number of objective functions remains an open question. We investigated the responses of model performance, equifinality, and uncertainty to the number of objective functions incorporated in a hierarchical and sequential manner in parameter calibration. The Hydrological Simulation Program – FORTRAN (HSPF) models that were prepared for bacteria total maximum daily load (TMDL) development served as a mathematical representation to simulate the hydrological processes of three watersheds located in Virginia, and the Expert System for Calibration of HSPF (HSPEXP) statistics were employed as objective functions in parameter calibration experiments. Results showed that the amount of equifinality and output uncertainty overall decreased while the model performance was maintained as the number of objective functions increased sequentially. However, there was no further significant improvement in the equifinality and uncertainty when including more than four objective functions. This study demonstrated that the introduction of an adequate number of objective functions could improve the quality of calibration without requiring additional observations.


2017 ◽  
Vol 13 (11) ◽  
pp. 142
Author(s):  
Ebraheem Al Taha'at ◽  
Mohammad Abdel Mohsen Al-Afeef ◽  
Saqer Al Tahat ◽  
Muhannad Akram Ahmad

This study aims to show the importance of the economic value added as one of the most modern to measure the financial performance for firms, then to know the effect of the general prices level and earnings before interest and taxes on EVA in the companies listed in (ASE) (2006-2015), the researcher addresses a random sample consisting of (46) Company, and uses regression model, which connects the dependent and independent variables.The results of the study shows that There is a significant impact for the general prices level and the earnings before interest and taxes on the economic value added, and also shows that 22% of the changes in the economic value added are due to general prices level and earnings before interest and taxes, and 78% of the changes are due to other factors.This study also recommends the need to manage of operating expenses because of the positive impact of operating profit on EVA value, and to take inflation into account when calculating the value of EVA, and also searching for other factors that could affect the value of EVA such as sales volume, cost of capital, and the growth in the total assets of the company's financial leverage, etc…


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