scholarly journals Economics Of Organic Rice Production

2013 ◽  
Vol 12 ◽  
pp. 97-103 ◽  
Author(s):  
Raj K Adhikari
Keyword(s):  
Poultry Manure ◽  
Labor Cost ◽  
Rice Production ◽  
P Value ◽  
Organic Rice ◽  
Technology Generation ◽  
Development Interventions ◽  
Human Labor ◽  
Agriculture And Environment ◽  
Significant Factors

Interest on organic agriculture is growing gradually in Nepal and the development interventions are concentrated more on technology generation and extension. But analysis on its economic aspect is lacking far behind. In order to know the economic performance of organic farming in general and that of organic rice production in particular, a survey research was carried out in Chitwan in 2010. From the study, the average productivity of organic rice production was found 3.15 Mt/ha which is consistent higher than national average. Among the factor cost, labor cost was found to contribute highest in total cost of production while poultry manure cost, human labor cost and oil cake cast were found to be significant factors at (P value < 0.05) to contribute in total revenue. The B:C ratio of organic rice production was found to be 1.15. The Journal of Agriculture and Environment Vol:12, Jun.2011, Page 97-103 DOI: http://dx.doi.org/10.3126/aej.v12i0.7569

scholarly journals Does the COVID-19 pandemic affect social-ecological resilience of organic rice production system in Chiang Mai Province, Thailand?

2021 ◽  
pp. 209-223
Author(s):  
Chaiteera Panpakdee ◽  
Fakjit Palinthorn
Keyword(s):  
Production System ◽  
Rice Production ◽  
Ecological Resilience ◽  
P Value ◽  
Chiang Mai ◽  
Organic Rice ◽  
Social Ecological ◽  
Significant Difference ◽  
Before And After ◽  
Chiang Mai Province

The purpose of this study was to investigate how the COVID-19 pandemic affects the organic rice production system in four districts of Chiang Mai Province. Eight organic farmers were purposefully chosen as informants because they have possessed forty-seven resilience components (SERCs) needed to cope with all kinds of social-ecological change. They were asked using a structured questionnaire to assign each SERC’s contribution value before and after the COVID-19 pandemic, in which each time scoring must be coupled with entailed explanations. Then, the paired samples t-test was run to compare such means of SERCs’ contribution values to examine whether their organic rice production’s resilience was affected by the pandemic and how. Results showed the means of SERCs before and after the pandemic have no significant difference as the p-value is 1.00 at the 95% confidence interval. This meant the pandemic does not influence the organic rice production’s social-ecological resilience. But several practices and qualifications were found varying from the original to make production more suitable. The dependence on household labor and that on mutual labor exchange were respectively increased and decreased in their roles in resilience building. Labor availability was interrupted by the social distancing protocol that had restricted people from gathering. Besides, the household accounts recording was adopted more than usual for being seen as a solution to improving the household economy during the time of financial vulnerability. Importantly, relying on local goods was remarkably recognized for increased importance. This was an attempt to get access to materials possibly free from the COVID-19 contamination because of the absent transportation. These findings provide two key interests. They can be applied as a framework not only to strengthen agricultural resilience but also to propose a blueprint of coping mechanisms against the pandemic at a mass scale.

Optimization of Factorial Design with the type of Plackett-Burman Design to Study the Effects of Organic Rice Production Process: Second Step Experiment

2021 ◽  
Vol 10 (3) ◽  
pp. 2085-2089
Keyword(s):  
Production Process ◽  
Factorial Design ◽  
Process Model ◽  
Rice Production ◽  
P Value ◽  
Basic Principles ◽  
Organic Rice ◽  
Burman Design ◽  
Level Of Significance ◽  
Plackett Burman Design

This research conducted the second experiment is to evaluate the results of organic rice production by controlling two variables. To consist of the spindle of speed and clearance between the rubber and two levels. The test statistics will be used. Factorial design Choose the type of Plackett-Burman design. Both variables and experiment levels have the effect of organic rice production process at the level of significance. To study the interaction among the factors a 36 factorial experiment approach has been adopted using the two basic principles of experimental design, replication and randomization. The process model was formulated based on Analysis of variance (ANOVA) and regression of coefficient using Minitab Release 15.00. The results showed that both variables were p value is greater than alpha value (0.216 > 0.05). There are no significant differences. Shows that the SS and CL is significant to the effect of organic rice production process. So, the conclusion is accepting H0

scholarly journals Measuring the Technical Efficiency of Certified Organic Rice Producing Farms in Yasothon Province: Northeast Thailand

2019 ◽  
Vol 11 (24) ◽  
pp. 6974
Author(s):  
Nalun Panpluem ◽  
Adnan Mustafa ◽  
Xianlei Huang ◽  
Shu Wang ◽  
Changbin Yin
Keyword(s):  
Technical Efficiency ◽  
Management Practices ◽  
Returns To Scale ◽  
Water Source ◽  
Rice Production ◽  
Farm Size ◽  
Significance Level ◽  
Organic Rice ◽  
Certified Organic ◽  
Constant Returns To Scale

Rice production holds a significant position in the Thai economy. Although it is the world’s largest rice exporter, Thailand’s increase in rice production is the result of an expansion in the cultivation area rather than an increase in yield per unit area. The present study was designed to estimate the technical efficiency and its governing factors for certified organic rice-growing farms in Yasothon Province, Thailand. A data envelopment model was employed to assess the technical efficiency of 328 farmer groups. The data revealed that the average technical efficiency was 23% and 28% under constant returns to scale (CRS) and variable returns to scale (VRS) specifications, respectively. Farmers can reduce the use of machinery, fertilizer, seed, and labor as input factors by about 80.1%, 25.62%, 24.72%, and 19.15%, respectively, while still achieving the same level of output. Multiple regression analysis was applied to estimate factors that affect the pure technical efficiency score (PTES) in the test regions. Results show that household size, farm size, water source, market accessibility, health symptoms, income, and labor were highly related to the TES and the amount of organic rice production. The regression coefficients of the predictors show that the income was the best predictor of the PTES at a significance level of p < 0.05. It is concluded that the farmers can potentially increase their yields by up to 72%–77% under current management practices.

scholarly journals Insect pest monitoring with camera-equipped traps: strengths and limitations

2020 ◽  
Author(s):  
Michele Preti ◽  
François Verheggen ◽  
Sergio Angeli
Keyword(s):  
Data Transfer ◽  
Control Method ◽  
Insect Pests ◽  
Insect Pest ◽  
Labor Cost ◽  
Image Resolution ◽  
Pest Monitoring ◽  
Human Labor ◽  
Distant Location ◽  
Human Operators

AbstractIntegrated pest management relies on insect pest monitoring to support the decision of counteracting a given level of infestation and to select the adequate control method. The classic monitoring approach of insect pests is based on placing in single infested areas a series of traps that are checked by human operators on a temporal basis. This strategy requires high labor cost and provides poor spatial and temporal resolution achievable by single operators. The adoption of image sensors to monitor insect pests can result in several practical advantages. The purpose of this review is to summarize the progress made on automatic traps with a particular focus on camera-equipped traps. The use of software and image recognition algorithms can support automatic trap usage to identify and/or count insect species from pictures. Considering the high image resolution achievable and the opportunity to exploit data transfer systems through wireless technology, it is possible to have remote control of insect captures, limiting field visits. The availability of real-time and on-line pest monitoring systems from a distant location opens the opportunity for measuring insect population dynamics constantly and simultaneously in a large number of traps with a limited human labor requirement. The actual limitations are the high cost, the low power autonomy and the low picture quality of some prototypes together with the need for further improvements in fully automated pest detection. Limits and benefits resulting from several case studies are examined with a perspective for the future development of technology-driven insect pest monitoring and management.

Nitrogen Availability from Poultry Litter and Pelletized Organic Amendments for Organic Rice Production

2011 ◽  
Vol 103 (4) ◽  
pp. 1284-1291 ◽  
Author(s):  
Paula L. Wild ◽  
Chris van Kessel ◽  
Jessica Lundberg ◽  
Bruce A. Linquist
Keyword(s):  
Nitrogen Availability ◽  
Poultry Litter ◽  
Organic Amendments ◽  
Rice Production ◽  
Organic Rice

Management Systems for Learning on Organic Rice Production of Local Wisdom Learning Center, Surin Province

2011 ◽  
Vol 11 (1) ◽  
pp. 1-10
Author(s):  
Sangiem Konthaisong ◽  
Dr.Suchin Simaraks ◽  
Dr.Anon Pontanee ◽  
Dr.Viriya Limpinuntana ◽  
Dr.Buapun Promphakping
Keyword(s):  
Rice Production ◽  
Management Systems ◽  
Learning Center ◽  
Organic Rice

scholarly journals Soil fertility management for organic rice production in the Lao PDR

2006 ◽  
Vol 21 (4) ◽  
pp. 253-260 ◽  
Author(s):  
W. Roder ◽  
S. Schürmann ◽  
P. Chittanavanh ◽  
K. Sipaseuth ◽  
M. Fernandez
Keyword(s):  
Soil Fertility ◽  
Green Manure ◽  
Crop Residues ◽  
Production Systems ◽  
Upland Rice ◽  
Lao Pdr ◽  
Rice Production ◽  
Inorganic Fertilizer ◽  
Fertility Management ◽  
Organic Rice

AbstractRice is the most important agricultural commodity of the Lao People's Democratic Republic (Lao PDR), produced largely using traditional methods with limited inputs of fertilizers and other chemicals. The country has a wide diversity in rice production systems and rice varieties, with over 3000 different varieties recorded. The rich diversity and the production environment and methods are favorable for organic rice production. Investigations were carried out to describe soil fertility conditions, management practices, opportunities and problems associated with organic production methods for rice. Soils used for rice production are mostly of low fertility, with low organic matter and N-availability. In spite of this, virtually no fertilizer inputs are used for upland rice production. Inorganic fertilizer inputs for lowland rice production have increased rapidly over the past decade, but are still below 20 kg ha−1. The most important nutrient sources are rice straw and manure from buffalo and cattle. Chromolaena odorata plays an important role in nutrient cycling in upland rice systems and is sometimes added to lowland fields. In a range of fertility management studies, yield increase ranged from 2 to 89% for manure, straw or rice husk applied at modest rates (3 t ha−1), 32–156% for modest rates of inorganic fertilizer (60 kg N ha−1) and 36–167% for combined application of manure or crop residues with inorganic fertilizer. The response to locally produced commercial organic fertilizer was poor. The most promising inputs and strategies available to optimize yields in organic rice production systems are (1) optimizing use of locally available nutrients, mostly from manure, crop residues and weed biomass, (2) N addition through green manure and legumes growing in rotation and (3) additions of P through guano or rock-phosphate. The Lao PDR is fortunate to have substantial bat guano deposits in limestone caves. Extensive experience is available on straw and husk management for lowland systems and green manure species for upland production systems.

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