Mohammad Taleai
Abstract
According to predictions, due to population increase and income growth, demand for food will continue to rise by over 3% annually. Wheat with providing over 33% of global world foods is one of the main sources for food security and meeting the needs of increased population. Land suitability assessment ...
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According to predictions, due to population increase and income growth, demand for food will continue to rise by over 3% annually. Wheat with providing over 33% of global world foods is one of the main sources for food security and meeting the needs of increased population. Land suitability assessment (LSA) is one of the basic approaches for obtaining maximum profit while protecting environmental resources for future. In this context, the suitability of arable lands of Miyaneh County is assessed for rain-fed wheat based on the FAO model and Fuzzy-AHP-OWA technique in GIS environment. In this study, with considering regional conditions and previous scientific researches, 8 environmental parameters (depth and texture of soil, erosion, slope, elevation, rainfall, temperature and degree days), 3 economic parameters (cooperatives, distance to markets and communication lines) and a social parameter (force labor) are used for land evaluation. These parameters were aggregated in two-stage using OWA model. Resulted suitability maps based on environmental criteria and fuzzy linguistic quantifier (LQ) includes: at least one, few, some, half, many, most and all, illustrate an overall accuracy, 26.7, 61, 84.3, 57, 44 , 8, 38.5 and 22% respectively, in compared with ground truth map.The final suitability maps based on social and economical criteria present 21.5, 61.8, 88.2, 53.7, 39.6, 38 and 19.3% overall accuracy. Based on this research finding,the proposed approach based on Fuzzy-AHP-OWA has great potential to model land use suitability evaluation problem. In addition, from the used criteria climate, soil, slope, number of co-operatives, distance to markets and communication lines are most important in evaluating land suitability for rain-fed wheat
M. Asgari; M.R. Mobasheri; M. Taleai; M. Ghamary Asl; Y. Rezaei
Abstract
Abstract
The amount of needed fertilizer in agricultural soils depends to the type of crop. Absence of enough fertilizer may cause in tensions in plants and consequently result in decrease in amount of product. According to the agricultural literature, soils containing total nitrogen amounts (N %) between ...
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Abstract
The amount of needed fertilizer in agricultural soils depends to the type of crop. Absence of enough fertilizer may cause in tensions in plants and consequently result in decrease in amount of product. According to the agricultural literature, soils containing total nitrogen amounts (N %) between 0.1-0.15 percent are considered as soils containing normal amounts of nitrogen. The values greater than 0.15% indicate rich amounts of nitrogen in soils. Accurate and timely information in this respect can be effective in increasing agriculture land gain. Applying experts and laboratories for measuring the amount of fertilizer can be time consuming and expensive. Remote Sensing technology, performing based on spectral behavior, sometimes produces acceptable data in large scale. To this end, spectral behavior of added material and agricultural soils should be used. In this study some data have been simulated by using a. spectral behavior of embedded nitrogen in soils containing nitrogen such as: Ammonium Nitrate (26% nitrogen), and Ammonium Sulfate (21% nitrogen), and b. spectrum of suitable soils for agriculture such as Sandy Loam soil between 1000 to 2500 nm. Then a regression model was produced and used. Evaluation of model shows the more than 80% correlation between real amount of materials in soil and measured amount which in present condition is valuable. In this paper infinities also were discussed and considered.
Keywords: Hyperspectral, Remote Sensing, Agriculture, Nitrogenized Fertilizer