Amount Of Rice Production Research Articles

Resource Use Efficiency in Rice Production: A Study on Gopalganj Sadar Upazila of Bangladesh

Purpose: The study is conducted to determine the relative efficiency of resource use in rice 'Bora' production in Gopalganj Sadar Upazila of Bangladesh on the basis of primary data. Design/methodology/approach: Data has been collected from 80 rice farmers using systematic random sampling. This paper examines the inter-resource use efficiency of rice production and for analysis both Ordinary Least Square and Maximum likelihood Estimators is used to estimate output elasticity of resources used in production function Again, value of marginal product of different variables is used to estimate the resource use efficiency and relative efficiency of the input used. Land, labor, fertilizer, pesticide, seed and irrigation are considered as independent variables while output is treated as dependent variable. Findings: The result indicates that only pesticide is being underutilized, whereas, land, labor, fertilizer, seed and irrigation are being over utilized. It is found from analysis that there is a probability of increase in output if the farmers reduce to some extent of those resources which are now being over utilizing. Any increase in use of pesticide may positively affect the production of rice. It is also found that none of the resources is efficiently utilized but seed is relatively efficient in utilization. Practical implications: This research can be used by the researchers who are interested in productivity analysis and can be helpful for policy makers in increasing the amount of rice production without increasing amount of cultivatable land, and efficient utilization of the existing resources.

The Preliminary Study of Climate Change Impact on Rice Production and Economic in Thailand

Climate change affects crop production in two ways: changes in GDP and population and changes in climate variables, especially temperature and precipitation. This study aims to investigate preliminary effects of climate change impacts on Thailand’s rice production, consumption, and export capacity by integrated EPIC model and the world and Thai rice market models. Therefore, the Biophysical process model (EPIC model) and Economic processes model are employed as the research methodology of this study. Main findings of the comparison showed both rice production and export in the base year (2007) are likely to expand until 2027, and there will be a sufficient amount of rice surplus for export, which is nearly the same level as that of domestic consumption in A2 scenario. In 2017, the amount of rice production will be only slightly higher than the domestic demand, leaving a small rice surplus of up to 2 million tons for export, compared to 14 million tons in 2016. However, in B2 scenario, the rice production capacity will be much lower than the domestic demand, meeting only half of it in 2017. From 2017 to 2019, the rice production capacity will undergo a constant fall and no longer meet the market demand as a result; it is estimated that there will be a shortage of approximately 0.038 to 0.218 ton. It is therefore important to note that if B2 scenario became reality in 2017, the rice production capacity of Thailand would nearly fail to meet the minimum level of domestic demand. However, we assure that Thailand still have land where can be converted to rice production with multiple cropping through irrigation investment, while comprehensive technical adaptation and mitigation to enhance farmer benefits are required.

Use of Randomized Complete Block Design to Demonstrate the Impact of Types of Fertilizer on the amount of Rice Production

Use of Randomized Complete Block Design to Demonstrate the Impact of Types of Fertilizer on the amount of Rice Production

Use of RADARSAT‐1 data and a digital elevation model to assess flood damage and improve rice production in the lower part of the Chi River Basin, Thailand

In Thailand, flooding due to seasonal monsoon conditions frequently destroys a substantial amount of rice production, the most important agricultural activity of the country. Taking the 2001 monsoon flooding that hit the Lower Chi River Basin as an example, we developed a new method for accurately assessing damage to flood‐affected paddies. A RADARSAT‐1 image acquired during peak flooding was combined with a 30‐m digital elevation model (DEM) to develop a ‘flood‐level‐determination’ algorithm for estimating floodwater depth. Based on the elongation capability of the rice varieties, a water depth of 80 cm was used to separate ‘non‐damaged’ from ‘damaged’ paddy areas, indicating that about 60% of the paddy fields in the flooded areas were non‐damaged paddies. To minimize the loss of rice and maximize farmers' incomes, a map of rice varieties appropriate for the damaged paddy areas was produced, combining the flood‐affected paddy map with the flood frequency map. Our results demonstrate the potential of using single‐date RADARSAT‐1 data and a DEM to provide accurate and economic means of assessing flood damage to rice fields that can be used to improve rice production.