پديد آورنده :
زارعيان، محمدجواد
عنوان :
تعيين نيازآبي و ضريب گياهي برخي از كشت هاي گلخانه اي
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
آبياري و زهكشي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي
صفحه شمار :
ده،120ص.:مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
جهانگير عابدي كوپايي،سيدسعيداسلاميان
استاد مشاور :
مصطفي مبلي،اسماعيل لندي
توصيفگر ها :
تبخير-تعرق , خيار , گوجه فرنگي , فلفل , شبكه عصبي مصنوعي
تاريخ نمايه سازي :
23/3/89
استاد داور :
مهدي قيصري،امير حسين خوش گفتار منش
تاريخ ورود اطلاعات :
1396/10/02
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Determination of Water Requirement and Crop Coefficient of Some Greenhouse Crops Mohammad Javad Zareian mj zareian@yahoo com Date of submission College of Agriculture Dept of Water Eng Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor s Name and Email address Jahangir Abedi Koupai koupai@cc iut ac ir Saeid Eslamian saeid@cc iut ac ir Abstract Nowadays the water use efficiency is very important in agricultural management One of the ways that have been taken into consideration to improve the water use efficiency in agriculture is the use of greenhouses The greenhouses are important because we can manage the planting and use water with great precision in the greenhouse Evapotranspiration is the most important parameter in the management of irrigation and greenhouse crops in particular The evapotranspiration of each crop varies depending on growth stage and meteorological conditions inside greenhouse Changes in evapotranspiration during the crop growth cycle defines the ratio between crop evapotranspiration and reference evapotranspiration that named crop coefficient Kc Knowing crop evapotranspiration at any time is very important in the management of irrigation systems for greenhouse This study was conducted to determine cucumber tomato peppers evapotranspiration at Isfahan University of Technology greenhouse using micro lysimeter from 4 January 4 2009 to August 6 2009 To determine the water balance of soil micro lysimeters the gravimetric method was used Simultaneously reference evapotranspiration estimated using drainage lysimeters and a reduced evaporation pan The results indicate the total reference evapotranspiration in 7 months of the study was 824 mm The total evapotranspiration for cucumber in 3 5 months growth cycle obtained as 202 mm For tomato in 6 months and pepper in 7 months growth cycle evapotranspiration obtained as 524 and 667 mm respectively Weekly changes in crop coefficients of different cultures in the growth cycle indicated a variable process Crop coefficient increased at the initial growth cycle fixed at the matured stage and decreased at the late stage of growth For cucumber values of coefficients at the initial development midseason and late season obtained as 0 41 0 69 0 98 and 0 77 respectively For the tomato values obtained as 0 44 0 68 1 15 and 0 68 and for pepper obtained as 0 25 0 53 1 03 and 0 75 respectively To find the relationship between meteorological data and crop height with crop evapotranspiration crop water use modeled using SPSS The results indicate that the best model proposed is a nonlinear regression based on the average daily temperature of air solar radiation and crop height To assess the accuracy of artificial neural networks in estimation of crop evapotranspiration minimum and maximum air temperature relative humidity solar radiation and crop height selected as model input Process modeling has shown that similar to the non linear regression the relative humidity had the minimum sensitivity in modeling evapotranspiration between the input parameters Artificial Neural Networks also had a good accuracy of prediction of the evapotranspiration of cucumber R2 0 831 tomatoes R2 0 872 and pepper R2 0 931 Keywords Greenhouse Evapotranspiration Crop coefficient Cucumber Tomato Pepper Artificial Neural Networks
استاد راهنما :
جهانگير عابدي كوپايي،سيدسعيداسلاميان
استاد مشاور :
مصطفي مبلي،اسماعيل لندي
استاد داور :
مهدي قيصري،امير حسين خوش گفتار منش