پديد آورنده :
شعاع، پدرام
عنوان :
تخمين تنش آبي درخت زيتون با استفاده از اندازه گيري دماي چتر گياه به روش ترموگرافي فروسرخ
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
مكانيك بيوسيستم
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي
صفحه شمار :
چهارده، 88ص.: مصور، جدول، نمودار
استاد مشاور :
رسول امير فتاحي، مهدي قيصري
توصيفگر ها :
دماي كانوپي , هدايت روزنه اي , شاخص تنش آبي گياه , شاخص هدايت روزنه اي , پردازش تصوير , خوشه بندي فازي
تاريخ نمايه سازي :
1394/05/26
استاد داور :
احمد ميره اي ، محمد شايان نژاد
تاريخ ورود اطلاعات :
1396/10/04
چكيده فارسي :
به فارسي و انگليسي
چكيده انگليسي :
90 Infrared Thermographic Measurement of Olive Tree Canopy Temperature for Estimating Crop Water Stress Pedram Shoa pedramshoa@gmail com June 6 2015 Department of Biosystems Engineering College of Agriculture Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Abbas Hemmat ahemmat@cc iut ac ir Abstract In order to decrease water consumption in agricultural sectors deficit irrigation has been suggested For preventing a heavy loss in crop yield management of water stress is essential Plant based methods for measuring plant water stress such as stomatal conductance are more precise than soil based methods such as soil water potential or content but all these methods are largely time consuming and require specialized labor and a large number of measurements Surface temperature of a leaf or canopy can be an indicator of stomatal conductance hence of a plant water stress However canopy temperature is not only affected by stomatal conductance but also changes with environmental conditions such as air temperature and vapor pressure deficit Crop water stress index CWSI and stomatal conductance index Ig are recently proposed to solve these dependency problems Comparing the canopy temperature with two reference temperatures crop water stress index can minimize the effect of environmental conditions Thermography is a non destructive and non contact approach toward surface temperature measurement without interfering with plant activities The temperature of specific options in thermal image could be obtained via supervised or unsupervised methods The general goal of this study was to obtain CWSI using thermal images and to evaluate the potential of this method for predicting the stomatal conductance as a reference measurement of crop water stress and to automate this procedure via unsupervised computer processing In order to achieve this goal thermal images from olive trees under five deficit irrigation treatments with three replications were captured Wet and dry references surfaces were developed and placed in the field of view of the camera nearby canopy Images were capture in two directions first perpendicular to solar travel and second back to the sun shining direction which receives more radiation than first one in three times in a day 10 12 14 regional times The automation procedure was a mixture of pixel and region based image processing applied to thermal images The automation algorithm were coded in MATLAB and compared with supervised methods Inputs of algorithm were thermal images and the code delivered stress indicators Indices assisted with air temperature plus five degrees as dry reference temperature could significantly improve the coefficient of correlation Results revealed more powerful relationship between stress indicators calculated in first direction at morning measurements R2ADJ 0 92 rather than other times and directions Furthermore Ig showed higher coefficient of correlation with stomatal conductance R2ADJ 0 94 Automatic algorithm obtained canopy temperature significantly similar to supervised method R2ADJ 0 99 with even more precise relationship between stress indices and the stomatal conductance R2ADJ 0 95 Keywords Thermography Canopy Temperature Stomatal Conductance Crop Water Stress Index Stomatal Conductance Index Image Processing Fuzzy C Means Clustering
استاد مشاور :
رسول امير فتاحي، مهدي قيصري
استاد داور :
احمد ميره اي ، محمد شايان نژاد
