حسین شکفته
استادیار گروه علوم خاک دانشگاه ولی عصر (عج) رفسنجان
[ 1 ] - ترکیب روش‌های نقشهبرداری مرسوم و زمینآماری برای تخمین برخی از ویژگی‌های فیزیکی و شیمیایی خاک (مطالعه موردی: منطقه ساردوئیه، استان کرمان)
سابقه و هدف: خاک‌ها دارای ویژگی‌های فیزیکی، شیمیایی و بیولوژیکی بسیار متنوعی هستند که نوع و مقدار تغییرات این ویژگی‌ها در رابطه با عملیات کشت و کار محصولات کشاورزی از اهمیت بسیار زیادی برخوردار است. به‌منظور مدیریت بهینه خاک، نیاز به دانستن این ویژگی‌ها می‌باشد؛ اما از آن‌جا که اندازه‌گیری این ویژگی‌ها در آزمایشگاه و آن هم برای یک سطح وسیع، بسیار هزینه‌بر است، نیاز به برآورد توزیع مکانی آن‌ها ...
[ 2 ] - Prediction of soil cation exchange capacity using support vector regression optimized by genetic algorithm and adaptive network-based fuzzy inference system
Soil cation exchange capacity (CEC) is a parameter that represents soil fertility. Being difficult to measure, pedotransfer functions (PTFs) can be routinely applied for prediction of CEC by soil physicochemical properties that can be easily measured. This study developed the support vector regression (SVR) combined with genetic algorithm (GA) together with the adaptive network-based fuzzy infe...
[ 3 ] - بررسی اثر عمق جایگذاری تیپ و زمان کود‌دهی بر عملکرد سیب‌زمینی در منطقه جیرفت
In order to study the effect of depth of drip placement in soil in subsurface drip irrigation, and fertilization time during irrigation events, on tuber yield of potato, an experiment was carried out in Jiroft area in 1389. This experiment was in a completely randomized block design with four replications, with depth placement of drip tape as the main plot, and fertilization time as the sub-plo...
[ 4 ] - اثر کاربری‌های مختلف اراضی بر برخی شاخص‌های کیفیت فیزیکی، شیمیایی و بیولوژی خاک
Soil quality is the permanent soil ability to function as a live system within ecosystem under different land uses. Investigating the impact of land use type on soil quality indicators could help to distinguish sustainable managements and therefore, to inhibit soil degradation. In order to evaluate the effect of different land uses on soil quality indicators, a research based on a randomized co...
[ 5 ] - Modelling of some soil physical quality indicators using hybrid algorithm principal component analysis - artificial neural network
One of the important issues in the analysis of soils is to evaluate their features. In estimation of the hardly available properties, it seems the using of Data mining is appropriate. Therefore, the modelling of some soil quality indicators, using some of the early features of soil which have been proved by some researchers, have been considered. For this purpose, 140 disturbed and 140 undistur...
نویسندگان همکار