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您的检索式：作者名="Amin GHOLIZADEH"
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| 1 | Using fuzzy-AHP and parametric technique to assess soil fertility status in Northeast of Iran显示文摘A good understanding of the levels and distribution patterns of soil properties and/or quality indicators is a prerequisite for developing sustainable agricultural land management programs. Traditional assessments of these parameters of soil fertility status are somewhat costly, in both economics and time aspects. Different modelling techniques have been proposed as a useful tool for determination of soil quality indicators and development of soil fertility maps, but to what extent these results are reliable remains under-quantified in many regions worldwide. To address this uncertainty, Fuzzy-Analytical Hierarchy Process(Fuzzy-AHP) and Parametric analyses were conducted to ascertain the soil fertility status of a semiarid region in the Northeast of Iran for some selected crops: alfalfa, corn silage, potato, sugar beet, tomato and wheat. The Fuzzy-AHP and Parametric techniques using soil suitability indices were estimated for each crop and each soil delineation was achieved by Ordinary Kriging. The Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS) was used as a compensatory method to allow tradeoffs among the selected criteria. Our results demonstrated that from the Fuzzy-AHP analysis, the soil fertility indices ranged from moderate to high for production of alfalfa;from low to high for production of corn silage and sugar beet;moderate to high for production of potato and tomato;and from low to moderate for production of wheat. However, the parametric analysis showed soil fertility classes ranging from very low to high for production of all the selected crops. High correlations were also observed between soil fertility indices predicted by both models. Similarly, the capacities of both models to predict soil fertility status for production of the selected crops were also highly correlated. The preference for the cultivation of the selected crops based on the Fuzzy-AHP analysis was sugar beet > corn silage > wheat > alfalfa > tomato > potato. On the other hand, using Parametric techniques, the crops preferences for cultivation ranked as corn silage > wheat > alfalfa > sugar beet > tomato > potato. We concluded that the findings would help to develop sustainable plans of cultivation based on patterns related to soil fertility classes depending on each crop’s requirement. | Ali KESHAVARZI Henry Oppong TUFFOUR Ali BAGHERZADEH Leo Paapa TATTRAH Vinod KUMAR Amin GHOLIZADEH Jesús RODRIGO-COMINO | 2020 | Journal of Mountain Science2020，17，4： | 3 |
| 2 | Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management显示文摘The optimum rate and application timing of Nitrogen(N)fertilizer are crucial in achieving a high yield in rice cultivation;however,conventional laboratory testing of plant nutrients is time-consuming and expensive.To develop a site-specific spatial variable rate application method to overcome the limitations of traditional techniques,especially in fields under a double-cropping system,this study focused on the relationship between Soil Plant Analysis Development(SPAD)chlorophyll meter readings and N content in leaves during different growth stages to introduce the most suitable stage for assessment of crop N and prediction of rice yield.The SPAD readings and leaf N content were measured on the uppermost fully expanded leaf at panicle formation and booting stages.Grain yield was also measured at the end of the season.The analysis of variance,variogram,and kriging were calculated to determine the variability of attributes and their relationship,and finally,variability maps were created.Significant linear relationships were observed between attributes,with the same trends in different sampling dates;however,accuracy of semivariance estimation reduces with the growth stage.Results of the study also implied that there was a better relationship between rice leaf N content(R^2=0.93),as well as yield(R2=0.81),with SPAD readings at the panicle formation stage.Therefore,the SPAD-based evaluation of N status and prediction of rice yield is more reliable on this stage rather than at the booting stage.This study proved that the application of SPAD chlorophyll meter paves the way for real-time paddy N management and grain yield estimation.It can be reliably exploited in precision agriculture of paddy fields under double-cropping cultivation to understand and control spatial variations. | Asa Gholizadeh Mohammadmehdi Saberioon Lubos Boruvka Aimrun Wayayok Mohd Amin Mohd Soom | 2017 | Information Processing in Agriculture2017，4，4： | 3 |
| 3 | Models for estimating the physical propertiesof paddy soil using visible and near infrared reflec-tance spectroscopy显示文摘 | Gholizadeh A Amin MSM Boruvka L SaberioonMM | 2014 | J Appl Spectrosc2014，81，3： | 1 |
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