Analysis of Arabica Coffee Marketing Efficiency
نویسندگان
چکیده
منابع مشابه
Economic Significance of Coffee (Coffee Arabica) Production in Parbat District of Nepal
This study considered the production economics of coffee in Pakuwa village development committee of Parbat district, Nepal. Household Survey was done in June 2014. Data collection was done using semi-structured pre-tested questionnaire administered on 40 coffee producers selected randomly. Gross margin analysis, profitability index and the benefit-cost ratio was used to analyze the production e...
متن کاملEquine poisoning by coffee husk (Coffea arabica L.)
BACKGROUND In Brazil, coffee (Coffea arabica) husks are reused in several ways due to their abundance, including as stall bedding. However, field veterinarians have reported that horses become intoxicated after ingesting the coffee husks that are used as bedding. The objective of this study was to evaluate whether coffee husk consumption causes intoxication in horses. RESULTS Six horses fed c...
متن کاملeconomic significance of coffee (coffee arabica) production in parbat district of nepal
this study considered the production economics of coffee in pakuwa village development committee of parbat district, nepal. household survey was done in june 2014. data collection was done using semi-structured pre-tested questionnaire administered on 40 coffee producers selected randomly. gross margin analysis, profitability index and the benefit-cost ratio was used to analyze the production e...
متن کاملBiochemical and genomic analysis of sucrose metabolism during coffee (Coffea arabica) fruit development.
Sucrose metabolism and the role of sucrose synthase were investigated in the fruit tissues (pericarp, perisperm, and endosperm) of Coffea arabica during development. Acid invertase, sucrose phosphate synthase, and sucrose synthase activities were monitored and compared with the levels of sucrose and reducing sugars. Among these enzymes, sucrose synthase showed the highest activities during the ...
متن کاملChemometric models for the quantitative descriptive sensory analysis of Arabica coffee beverages using near infrared spectroscopy.
Mathematical models based on chemometric analyses of the coffee beverage sensory data and NIR spectra of 51 Arabica roasted coffee samples were generated aiming to predict the scores of acidity, bitterness, flavour, cleanliness, body and overall quality of coffee beverage. Partial least squares (PLS) were used to construct the models. The ordered predictor selection (OPS) algorithm was applied ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2020
ISSN: 1755-1315
DOI: 10.1088/1755-1315/466/1/012026