منابع مشابه
Bayesian Classification for Rice Paddy Interpretation
In this paper, we present a case study of interpreting paddy distributions of three counties on Northern Taiwan during two crop seasons on year 2000 using multitemporal imageries together with cadastre GIS by Bayesian posteriori probability classifier. In order to integrating Bayesian conditional probability, priori probabilities of paddy's attributes were estimated from photogrammettric interp...
متن کاملGaseous emissions from flooded rice paddy agriculture
[1] Modification of continental land for agricultural use has increased over the last century. Atmospheric impact of this land use change has only been addressed for a few ecosystems and compounds. This paper provides, to date, the most comprehensive examination of gaseous emissions from rice paddies. We report seasonal emission ranges and integrated emission totals for 55 chemical species. Thi...
متن کاملPopulations of Rice Grain Bug, Paraeuscosmetus pallicomis, (Hemiptera: Lygaeidae) in Weed-free Paddy Field, Weedy Paddy Field and Paddy Dykes
Research on the populations of rice grain bug Paraeuscosmetus pallicomis Dallas (Hemiptera: Lygaeidae) in paddy field ecosystems was performed with the aim to determine the populations of rice grain bug in weed-free paddy field, weedy paddy field, and paddy dykes. Experiment was carried out in the village of Paccellekang in the district of Patallasang of Gowa Regency in South Sulawesi, Indonesi...
متن کاملStudy on Drying Kinetics of Paddy Rice: Intermittent Drying
The intermittent drying characteristics of an Iranian popular paddy rice variety were experimentally investigated to determine the drying kinetics and obtain the effective moisture diffusivity. A lab-scale fluidized bed dryer was designed and constructed to enable obtaining the required results while controlling critical drying parameters. The effects of drying temperature and tempering per...
متن کاملOptimizing grain yields reduces CH4 emissions from rice paddy fields.
Microbial production in anoxic wetland rice soils is a major source of atmospheric CH4 the most important non-CO2 greenhouse gas. Much higher CH4 emissions from well managed irrigated rice fields in the wet than in the dry season could not be explained by seasonal differences in temperature. We hypothesized that high CH4 emissions in the wet season are caused by low grain to biomass ratios. In ...
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ژورنال
عنوان ژورنال: Southeast Asian Review of English
سال: 2018
ISSN: 0127-046X
DOI: 10.22452/sare.vol55no1.9