جستجوی مقالات مرتبط با کلیدواژه "hybrid system" در نشریات گروه "کشاورزی"

The first step in chicken breeding is the production of chicks, which requires a high-performance incubator. In this research, the performance of two incubators was compared. One of them was instrumented with a hybrid system based on fuzzy controller (HIFC), another one was the commercial incubator (ON/OFF). By comparing the important parameters to make suitable conditions for eggs hatchery, the percentage of eggs hatching, egg weight changes, chick’s hatch time and energy consumption were compared and evaluated. The result showed that the eggs hatching ratio was 92.13% for HIFC and 78.16% for ON/OFF systems. The HIFC system showed a better result in controlling egg environmental conditions than the ON/OFF system, based on eggs weight changes and chick’s hatch time. The energy consumption of the fuzzy controller was 31.25% less than the ON/OFF controller. The amount of energy received by the solar hybrid system over a 21 day periods was 27.20 kWh. For the HIFC system, the amount of energy needed for a hatching period was 24.24 kWh which shows an excess energy of 12.21%. For the ON/OFF system, contribution of solar hybrid system for power requirement was 77%.

Determination of soil fertility is very important to measure fertilization. Regardless of the level of soil fertility، the improper use of chemical fertilizers، not only the quantity and quality of agricultural products would not rise up، but also it makes imposed additional costs، disturb the balance of nutrients in the soil and environmental issues are also raised. Therefore، the assessment and mapping of soil fertility is essential. In this research، the fuzzy technique and the Analytic Hierarchy Process (AHP) were used for mapping soil fertility into Geographic Information System (GIS). The amount of available soil phosphorus and potassium، total nitrogen، soil organic carbon، pH and cation exchange capacity (CEC) obtained form 77 surface soil samples were used as the input data. In the first stage، the interpolation of data was done by Inverse Distance Weighting (IDW) model into GIS. Then a fuzzy membership function was defined for each factor according to Sys guideline. Finally، the map of soil fertility was prepared by using AHP technique into Expert Choice software with an inconsistency ratio of 0. 07. The results showed that soil organic carbon has the greatest impact on the soil fertility in the study area and for wheat cultivation، most area were classified into group of moderate suitable.