a delphi study was conducted in three phases to identify the driving and inhibiting factors of the development of mechanized cultivation of rice in guilan province. after consultation with professors and researchers in related institutions, 30 experts from the agricultural organization of guilan province and its subsidiary offices as well as faculty members of agricultural research centers of g...

This study investigated the status of mechanized power and self-propelled rice cultivation machinery in Guilan Province in northern Iran. The raw data was obtained from 2013 statistics of the Agricultural Jihad Organization of Guilan province. Power per unit of area, mechanization level, area per unit of self-propelled machinery, and mechanization requirement were calculated for eastern, wester...

introductionpopulation data is easily accessible and shows the relationship between city size and other socio-economic factors in the city indirectly, so many geographers using this type of data to gain an understanding of the structure of the cities network and distribution of the people in the different levels of urban hierarchy. in fact, urban hierarchy is the best way of space organization ...

guilan province is the biggest hazelnut producer in iran. over 70% of hazelnut production cost is due to its manual harvesting. therefore, study on all aspects of its cultivation mechanization is necessary to sustain its production. this study focused on identifying factors that affect the development of hazelnut harvesting mechanization in guilan province, iran, using a three-round delphi tech...

This study was carried out to identify agroeconomic factors on adoption integrated rice-fish farming by farmers. A survey was conducted using a stratified random sampling to collect data from farmers of selected villages in Guilan province, north of Iran. The questionnaire validity and reliability ware also determined to enhance the dependability of the result. Data were collected from 184 resp...

Since data envelopment analysis (DEA) introduced in 1970s, it has been widely applied to measure the efficiency of a wide variety of production and operation systems. Recently DEA has been extended to examine the efficiency of decision making units (DMUs) with two-stage network structures or processes, where the outputs from the first stage are intermediate measures that make up the inputs of t...