scholarly journals Evaluating Farm Management Performance by the Choice of Pest-Control Sprayers in Rice Farming in Japan

2021 ◽  
Vol 13 (5) ◽  
pp. 2618
Author(s):  
Yuna Seo ◽  
Shotaro Umeda
Keyword(s):  
Pest Control ◽  
Low Cost ◽  
Farm Income ◽  
Data Envelopment ◽  
Working Capacity ◽  
Control Cost ◽  
Management Efficiency ◽  
Smart Agriculture ◽  
And Performance ◽  
Using Data

With rapidly advancing technologies such as IoT, AI, robotics, and others, smart agriculture in Japan has been introduced and tested throughout the country. The validity of the implementation of smart agriculture could be measured by using cost analysis, working capacity assessment, and management efficiency analysis. In this study, we focused on pest-control management, wherein unmanned aerial vehicles (UAVs) for crop spraying have been recently introduced. In order to clarify the validity of UAVs for rice fields in Japan regarding costs and performance, we conducted a comparative study of pest-control sprayers, specifically: (1) tractor- mounted boom sprayers, (2) remote-control spraying helicopters (RC helicopters), and (3) UAVs. We estimated pest-control costs and the working capacity of each method. We also evaluated the management efficiency of 21 case scenarios of different pest-control sprayers and field areas ranging from 0.5 to 30 ha using data envelopment analysis (DEA) based on an input-oriented model. We used the input of pest-control cost and the output of gross farm income and surplus working capacity. Pest-control costs per unit area of boom sprayers, RC helicopters, and UAVs were approximately 925,597 yen/ha (US $8819/ha), 6,924,455 yen/ha (US $65,975/ha), and 791,724 yen/ha (US $7543/ha), respectively. The working capacity during pest-control scheduled days was 120, 195, and 135 ha, respectively. DEA results suggested that UAVs would be more efficient than boom sprayers and RC helicopters for the analyzed cases. UAVs for crop spraying showed relatively low cost and high management efficiency compared to the boom sprayers and RC helicopters; hence UAVs could be a suitable replacement to save cost and time.

scholarly journals Capabilities and performance of the upgraded Mark III correlator system

1988 ◽  
Vol 128 ◽  
pp. 429-437 ◽  
Author(s):  
Alan R. Whitney
Keyword(s):  
Reference Frames ◽  
Modular Design ◽  
Low Cost ◽  
Random Errors ◽  
Geodetic Vlbi ◽  
Vlbi Data ◽  
Artificial Earth ◽  
Continuum Radio ◽  
And Performance ◽  
Using Data

The Mark IIIA correlator system is currently operating at the U. S. Naval Observatory in Washington, D.C. in support of VLBI geodetic measurements being made by NASA, NGS, NRL, and USNO. This correlator system, developed at Haystack Observatory, is a second-generation version of the original Mark III correlator, and adds significant new capabilities such as double-speed operation, longer integration periods, and improved internal modelling.The Mark IIIA correlator can simultaneously process up to 10 baselines of data from 5 stations. Experiments including more than 5 stations may be processed with multiple passes through the correlator. The architecture of the correlator allows a future expansion to a maximum of 16 stations. Due to a simple modular design and the low cost of required computer-support equipment, expansion is straightforward and relatively economical.Although current geodetic VLBI observations are made using data from distant natural continuum radio sources, the Mark IIIA correlator was designed to also support processing of data collected from pulsars, artificial earth satellites, and from earth-orbiting antennas receiving signals from natural sources. These capabilities may be important in the future as efforts continue, for example, to tie satellite-related reference frames to current VLBI reference frames.The design approach of the Mark IIIA correlator will be discussed, including its performance with respect to systematic and random errors which may affect geodetic VLBI data.

DEA performance assessment of Greek listed metallurgical firms

2014 ◽  
Vol 9 (1) ◽  
pp. 58-77 ◽  
Author(s):  
Ioannis Tsolas
Keyword(s):  
Performance Measures ◽  
Design Methodology ◽  
Market Value ◽  
Two Dimensions ◽  
Data Envelopment ◽  
Content Type ◽  
Dea Efficiency ◽  
Performance Dimensions ◽  
And Performance ◽  
Using Data

Purpose – This paper aims to assess two distinct aspects of performance in terms of technical (sales) efficiency and efficiency in market value generation of a sample of Greek metallurgical firms listed on the Athens Exchange by using data envelopment analysis (DEA). Design/methodology/approach – Both aspects of performance are measured by employing the DEA BCC model, combined with bootstrap and generalized proportional distance function (GPDF). Statistical analysis is performed to investigate whether there is a positive link between the two examined performance dimensions. Findings – Inefficiency is uncovered in both performance dimensions, but there is a lower level of performance in market value generation than in technical efficiency. Correlation analysis results do not point out positive links between performance measures for the sample firms. Research limitations/implications – The derived performance measures allow firm managers to set their own priorities and to seek out improvements along the two dimensions of performance; moreover, they may contribute to the reduction of information asymmetry among investors. Originality/value – This paper is one of a few that investigate the link between DEA-based sales performance and performance in market value generation. It contributes methodologically through the adoption of fundamental analysis principles in estimating efficiency in the two performance dimensions and the development of a DEA efficiency model in the presence of negative data.

scholarly journals Selection and Analysis of Input-Output Variables using Data Envelopment Analysis of Decision Making Units - Indian Private Sector Banks

2021 ◽  
Vol 10 (5) ◽  
pp. 119-127
Author(s):  
B. Vittal ◽  
Raju Nellutla ◽  
M. Krishna Reddy
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Banking System ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Input Output ◽  
Key Factor ◽  
And Performance ◽  
Using Data ◽  
Decision Making Units

In banking system the evaluation of productivity and performance is the key factor among the fundamental concepts in management. For identify the potential performance of a bank efficiency is the parameter to evaluate effective banking system. To measure the efficiency of a bank selection of appropriate input-output variables is one of the most vital issues. The suitable identification of input-output variables helps to create and identify model in order to evaluate the efficiency and analysis. The Data Envelopment Analysis (DEA) is a mathematical approach used to measure the efficiency of identified Decision Making Units (DMUs). The DEA is a methodology for evaluating the relative efficiency of peer decision making units of identified input/output variables for the financial year 2018-19. In this study the basic DEA CCR, BCC models used for measure the efficiency of DMUs. In addition to these models for minimize the input excess and output shortfall Slack Based Measure (SBM) efficiency used. The SBM is a scalar measure which directly deals with slacks of input, output variables which help in obtain improved efficiency score compare with previous model. The result from the analysis is

Performance Measurement of Local Welfare Programmes: Evidence from Madrid's Regional Government

2008 ◽  
Vol 26 (5) ◽  
pp. 906-923 ◽  
Author(s):  
Luis Ayala ◽  
Francisco Pedraja ◽  
Javier Salinas-Jiménez
Keyword(s):  
Social Services ◽  
Empirical Analysis ◽  
Performance Indicators ◽  
Data Envelopment ◽  
Regional Government ◽  
The Social ◽  
And Performance ◽  
Using Data ◽  
Local Agencies ◽  
The Empirical Analysis

Interest in how social assistance programmes are organized has recently heightened, fed by concerns about the limits on achieving greater efficiency. Most available evidence considers performance indicators that are too general, there being few studies relating the use of inputs to outcomes. We compare different performance indicators of Madrid's programme with resource endowments in a group of local agencies of social services. In addition to constructing a detailed system of input and performance indicators, an empirical analysis of efficiency for each of the social services agencies is carried out using data envelopment analysis. Results confirm that there is a wide margin for obtaining efficiency gains. The empirical analysis shows that some detected inefficiencies arise from an excessive number of staff in relation to the work to be performed. Agencies with a higher incidence of social problems present higher efficiency scores.

Sign in / Sign up

Export Citation Format

Share Document