DEA modeling for optimal resource use in rice production

OPSEARCH ◽  
2004 ◽  
Vol 41 (3) ◽  
pp. 148-154
Author(s):  
B. Satpathy ◽  
S. K. Hota
Keyword(s):  
Resource Use ◽  
Rice Production ◽  
Optimal Resource

More rice with less water – evaluation of yield and resource use efficiency in ground cover rice production system with transplanting

2015 ◽  
Vol 68 ◽  
pp. 13-21 ◽  
Author(s):  
Yueyue Tao ◽  
Yanan Zhang ◽  
Xinxin Jin ◽  
Gustavo Saiz ◽  
Ruying Jing ◽  
...  
Keyword(s):  
Resource Use ◽  
Production System ◽  
Ground Cover ◽  
Rice Production ◽  
Resource Use Efficiency ◽  
Use Efficiency

scholarly journals A roadmap towards sustainable intensification for a larger global rice bowl

2021 ◽  
Author(s):  
Shen Yuan ◽  
Bruce Linquist ◽  
Lloyd Wilson ◽  
Kenneth Cassman ◽  
Alexander Stuart ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Resource Use ◽  
Agricultural Research ◽  
Cropping Systems ◽  
Rice Production ◽  
Resource Use Efficiency ◽  
High Resource ◽  
Use Efficiency ◽  
Negative Environmental Impact ◽  
High Yields

Abstract Future rice systems will need to produce more grain while minimizing the environmental impact. A key question is how to orient agricultural research & development (R&D) programs at national to global scales to maximize the return on investment. Here we assess yield gap and resource-use efficiency (including water, pesticides, nitrogen, labor, and energy) across 32 rice cropping systems, together accounting for 88% of global rice production. We show that achieving high yields and high resource-use efficiencies are not conflicting goals. Most cropping systems have room for increasing yield, resource-use efficiency, or both. In aggregate, current total rice production of these systems can be increased by 36%, and excess nitrogen almost eliminated, by focusing on a relatively small number of cropping systems with large yield gaps and/or poor resource-use efficiencies. This study provides essential strategic insight for prioritizing national and global agricultural R&D investments to ensure adequate rice supply while minimizing negative environmental impact in coming decades.

Analysis of Resource-use Efficiency in Monsoon and Spring Rice Production in Nepal

2017 ◽  
Vol 16 (5) ◽  
pp. 314-321
Author(s):  
Rajani Osti ◽  
Muhammad Rizwan ◽  
Abede Kidane Assefa ◽  
Deyi Zhou ◽  
Dinesh Bhattarai
Keyword(s):  
Resource Use ◽  
Rice Production ◽  
Resource Use Efficiency ◽  
Use Efficiency

Analysis on Resource Use Efficiency of Smallholder's Rice Production Farmers in Federal Capital Territory of Nigeria: Probit Model Approach

2021 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Sanusi Saheed Olakunle ◽  
Alabi Olugbenga Omotayo ◽  
Ebukiba Elizabeth Samuel
Keyword(s):  
Resource Use ◽  
Educational Level ◽  
Probit Model ◽  
Household Size ◽  
Rice Production ◽  
Farm Income ◽  
Resource Use Efficiency ◽  
Extension Services ◽  
Rice Farmers ◽  
Use Efficiency

This study examined the resource-use efficiency of smallholder rice production farmers in Federal Capital Territory, Nigeria. The problem of resource use among small-scale rice production farmers is preponderance in the country. Hence, the study investigated the drivers of the problem in the Federal Capital Territory of Nigeria. Specifically, the study was designed to determine the factors influencing the resource-use efficiency of the respondents. A multi-stage sampling technique was used to select a total sample size of one hundred and seventy-five (175) rice farmers in Federal Capital Territory, Nigeria. Seven estimators such as age, household size, farming experience, educational level, extension services, access to credit, and off-farm income in the Probit model were found statistically significant. Results show that the probability of resource use efficiency of inputs used by the farmers increases with age, farm size, household size, educational level, extension services, experiences in farming, access to credits, but decreases where they have off-farm income. Mc Fadden Pseudo-R2 gives 0.6772, and the Probit model explains a significant proportion of the variations in smallholder farmers' resource use. The study concluded that the socio-economic variables in the model play an important role in influencing resource use efficiency. The study recommends that government agencies and donors should provide simplified, accessible and obtainable credits and grants to existing and prospective rice farmers in order to sustain the current giant stride in rice production in the country.

Optimizing Income for Vegetable Farming in Puubunga Village Baula District Kolaka Regency

2021 ◽  
Vol 6 (1) ◽  
pp. 7
Author(s):  
Devita Pratiwi Hunowu ◽  
Idrus Salam ◽  
Hidrawati Hidrawati
Keyword(s):  
Resource Use ◽  
Growing Season ◽  
Analysis Tool ◽  
Optimal Conditions ◽  
Total Income ◽  
Optimization Analysis ◽  
Scarce Resources ◽  
Optimal Resource ◽  
Vegetable Farming ◽  
Mustard Seeds

This study aims to determine whether the poly-culture of vegetables (mustard greens, spinach, and kale) in Puubunga village has achieved optimal resource use and how much income the farmers use of the resources in optimal conditions. This research was conducted from July to August 2020. Analysis of the data used in this research is the analysis of optimality using the analysis tool Linear Programming POM for Windows 3. Sensitivity analysis is carried out to determine the sensitivity interval between changes in resources without changing the optimal income. The results of the optimization analysis show that resource use is not optimal. The use of land, mustard seeds, urea fertilizer, medicines (Dursban and Gramoxone) and labor is not yet optimal or not fully utilized while their availability is excessive, so it needs to be added or subtracted from the existing supply. The use of spinach seed, kale seeds, and manure are scarce resources because in optimal conditions all supplies are used up. The total income of vegetable farming (mustard greens, spinach, and kale) obtained under optimal conditions is IDR 777.275 per growing season, which is greater than the actual total income of vegetable farming of IDR 672.814 per growing season.

Evaluation of resource-use efficiency among rice farmers in Katcha Local Government Area of Niger State, Nigeria

2020 ◽  
Vol 18 (1) ◽  
pp. 9-19
Author(s):  
Y. Muhammed ◽  
M.A. Ojo ◽  
A. Abdullahi ◽  
O.J. Ajayi ◽  
S. Jibrin ◽  
...  
Keyword(s):  
Local Government ◽  
Multiple Regression ◽  
Resource Use ◽  
Rice Production ◽  
Local Government Area ◽  
Farm Size ◽  
Efficiency Ratio ◽  
Resource Use Efficiency ◽  
Rice Farmers ◽  
Use Efficiency

This study evaluated resources–use efficiency among rice farmers in Katcha Local Government Area (LGA) of Niger State, Nigeria. The specific objectives are to; describe socio-economic characteristics of the rice farmers, determine the production inputs influencing rice output, resource–use efficiency in rice production and identify constraints associated with rice production. Two-stage sampling procedure was used for selection of 88 rice farmers on which questionnaire was administered. Data collected was analyzed using descriptive statistics, multiple regression model and resource – use efficiency ratio. Results of the analysis revealed that 76.2% of the respondents were males, while 93.2% were married. The mean age, farming experience and household size of the respondents was 46 years, 23 years and 11 people, respectively. The multiple regression analysis result showed that double-log with R2 value of 0.9571 was chosen as lead equation and farmland (4.83, p<0.01), labour (2.34, p<0.05), seeds (4.04, p<0.01) and fertilizer (3.46, p<0.01) had positive coefficients and statistically significant. The efficiency ratio of resources-use in rice production showed that farm size (15.71) was under-utilized, while labour (0.001), seeds (0.554) and fertilizer (0.056) were over-utilized. Major constraints of rice production identified were inadequate training on resources usage (94.3%), followed by problem of pest and diseases (84.1%) and problem of storage facilities (81.8%). These problems ranked 1st, 2nd and 3rd, respectively. In conclusion, the production inputs were not efficiently utilized by the rice farmers. It was therefore recommended that, extension agents should educate farmers about relevant farm management skills in order to optimally utilize resources in rice production. Keywords: Resource-use efficiency, Rice farmers, Inputs, Production

Resource use efficiency in rice production under SRI and conventional method in Assam, India

2016 ◽  
Vol 36 (2) ◽  
Author(s):  
Ishani Parasar ◽  
J. P. Hazarika ◽  
Nivedita Deka
Keyword(s):  
Resource Use ◽  
Rice Yield ◽  
The State ◽  
Rice Production ◽  
System Of Rice Intensification ◽  
Resource Use Efficiency ◽  
Productivity Increase ◽  
Proper Training ◽  
Rice Intensification ◽  
Use Efficiency

To meet the rising demand for rice, the staple food in Assam, the production of rice has to be increased by many folds. Considering the shrinkage of agricultural lands, productivity increase is the only way out to increase the production. System of Rice Intensification (SRI) is reported to enhance rice yield to considerable extent. However, the acceptability of the method by the tradition rice growers of the state is a matter of concern. Further, the resource use status of SRI is yet to be studied systematically in Assam. The present study on resource use in SRI has shown that the resources used in SRI need to be increased for enhanced rice production the state. Awaring the farmers about SRI and imparting proper training on SRI would certainly help the farmers to increase their rice production to make them rice secured.

Simulation-based evaluation of anaesthesia residents: optimising resource use in a competency-based assessment framework

2019 ◽  
Vol 6 (6) ◽  
pp. 339-343
Author(s):  
Melinda Fleming ◽  
Michael McMullen ◽  
Theresa Beesley ◽  
Rylan Egan ◽  
Sean Field
Keyword(s):  
Resource Use ◽  
Clinical Training ◽  
Optimal Number ◽  
Theory And Practice ◽  
High Stakes ◽  
Simulation Based ◽  
Optimal Resource ◽  
Competency Based ◽  
The Impact ◽  
Competency Based Assessment

IntroductionSimulation training in anaesthesiology bridges the gap between theory and practice by allowing trainees to engage in high-stakes clinical training without jeopardising patient safety. However, implementing simulation-based assessments within an academic programme is highly resource intensive, and the optimal number of scenarios and faculty required for accurate competency-based assessment remains to be determined. Using a generalisability study methodology, we examine the structure of simulation-based assessment in regard to the minimal number of scenarios and faculty assessors required for optimal competency-based assessments.MethodsSeventeen anaesthesiology residents each performed four simulations which were assessed by two expert raters. Generalisability analysis (G-analysis) was used to estimate the extent of variance attributable to (1) the scenarios, (2) the assessors and (3) the participants. The D-coefficient and the G-coefficient were used to determine accuracy targets and to predict the impact of adjusting the number of scenarios or faculty assessors.ResultsWe showed that multivariate G-analysis can be used to estimate the number of simulations and raters required to optimise assessment. In this study, the optimal balance was obtained when four scenarios were assessed by two simulation experts.ConclusionSimulation-based assessment is becoming an increasingly important tool for assessing the competency of medical residents in conjunction with other assessment methods. G-analysis can be used to assist in planning for optimal resource use and cost-efficacy.

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