The Egyptian Journal of Remote Sensing and Space Science, 2015
Artificial neural network (ANN) model was developed and tested for estimating soil phosphorus (P)... more Artificial neural network (ANN) model was developed and tested for estimating soil phosphorus (P) in Kouhin watershed area (1000 ha), Qazvin province, Iran using terrain analysis. Based on the soil distribution correlation, vegetation growth pattern across the topographically heterogeneous landscape, the topographic and vegetation attributes were used in addition to pedologic information for the development of ANN model in area for estimating of soil phosphorus. Totally, 85 samples were collected and tested for phosphorus contents and corresponding attributes were estimated by the digital elevation model (DEM). In order to develop the pedo-transfer functions, data linearity was checked, correlated and 80% was used for modeling and ANN was tested using 20% of collected data. Results indicate that 68% of the variation in soil phosphorus could be explained by elevation and Band 1 data and significant correlation was observed between input variables and phosphorus contents. There was a significant correlation between soil P and terrain attributes which can be used to derive the pedo-transfer function for soil P estimation to manage nutrient deficiency. Results showed that P values can be calculated more accurately with the ANN-based pedo-transfer function with the input topographic variables along with the Band 1.
Land suitability assessment is an essential step for land use planning and development. Over the ... more Land suitability assessment is an essential step for land use planning and development. Over the last decade, many researchers, organizations, research institutes and governments have tried to provide a comprehensive procedure for the optimal use of agricultural land, but have failed to balance competing issues in a systematic way. Matter element is a multiple criteria decision analysis (MCDA) technique which has shown high potential for solving complicated issues. The use of MCDA techniques such as matter element and analytic hierarchy process (AHP) based on remote sensing (RS) and GIS is a flexible and effective framework to assess and map several different criteria for the strategic placement of cropping. We used data from 167 soil profiles covering 12,000 ha of land located in Ardabil province, northwest of Iran to assess criteria using MCDA techniques that may limit barley production under irrigation. After soil sampling and analysis, 24 soil series (all Aridisols) and 66 land units were identified and separated in the study area. Several criteria were limiting, but the most limiting criteria included: soil depth, slope, climate characteristics, pH, electrical conductivity, exchangeable sodium percentage, calcium carbonate equivalent and gypsum content. Combining and analyzing criteria in an AHPmatter element model generated a land suitability map for barley production. The coefficient of determination (R 2 ) between land suitability index and observed barley yield was 0.947 for AHP-matter element hybrid model. Modeled estimates were compared and showed that the hybrid approach of AHP and matter element techniques was more accurate than the storie and square root methods in selecting the most suitable areas for barley production. The AHP-matter element hybrid method can therefore improve planning and decision making regarding land which is suitable for barley cultivation. This approach may also be suitable other crops.
The AquaCrop model has been used for optimum sowing date determination for maximum yield producti... more The AquaCrop model has been used for optimum sowing date determination for maximum yield production based on historical climate data in Moghan plain, Ardabil province, Iran. Based on phonological data for the eight main cultivated crop gathering from Moghan plain and thirty years climate data, the optimum sowing dates were determined after model calibration. The model used cumulative growing degree days, effective and active base temperature and calculated harvest index to perform each crop yield. Determination coefficient, normalized root mean squared and index of agreement were 0.99, 29.16 and 0.97 respectively. The statistics showed that the model could accurately perform the crop yield estimation in this region. Based on the results the simulated sowing window for winter wheat was a little bit shorter. The winter barley also performed as winter wheat. The spring maize simulated sowing window was longer than usual period. But the simulated sowing window for winter canola, cotton,...
Classical and conventional (traditional) land suitability methods are based on Boolean's Two-valu... more Classical and conventional (traditional) land suitability methods are based on Boolean's Two-valued Logic that defines different land suitability classes completely distinctive. These methods have many disadvantageous in description of capabilities and land suitability for different applications, therefore fuzzy modeling based on fuzzy sets theory is the best method in land suitability assessment. In this theory, membership is not two-valued; instead it could be a range of values from 0 to 1. The function that states the degree of membership in a set is named "membership function". In this research, Pairwise Comparison Method in the form of Analytical Hierarchy Process(AHP) used for weighting different assessed criteria for land suitability of an irrigated wheat field in Takestan and results from fuzzy methods compared with those from conventional methods, for example Parametric method. The correlation coefficient between land index and observed yield in the study area were 0.91 and 0.85 for the fuzzy approach with AHP method and parametric approach respectively.
Dezvoltarea unor modele de simulare a proceselor de sol a crescut rapid in ultimii ani. Aceste mo... more Dezvoltarea unor modele de simulare a proceselor de sol a crescut rapid in ultimii ani. Aceste modele au fost dezvoltate pentru a imbun?t??i in?elegerea proceselor solului importante ?i, de asemenea, s? ac?ioneze ca instrumente de evaluare a problemelor agricole ?i de mediu. In aceast? cercetare, un model de re?ea neuronal? artificial? (ANN) a fost dezvoltat pentru a prezice schimb de cationi din sol. Capacitatea (CEC), a fost numit? kriging neural (NK), prin caracteristicile usor masurabile de lut ?i de carbon organic. 134 probe de sol au fost colectate de la diferite orizonturi de profile de sol, 34 situate in regiunea Ziaran, provincia Qazvin, Iran. Setul de date a fost imp?r?it in dou? subseturi de calibrare (75%) ?i de testare (25%) a modelului. In scopul de a evalua modelul, eroarea p?tratic? medie (RMSE) ?i R2 au fost utilizate. Valoarea de RMSE ?i R2 derivate de model RNA au fost 0,04 ?i 0,97, respectiv. Compara?ia dintre RMSE ?i R2 pentru diferite modele de RNA a ar?tat c? ...
Sustainable agriculture development is the main aim in crop land management. It can be achieved t... more Sustainable agriculture development is the main aim in crop land management. It can be achieved through the simultaneous prediction of land suitability and land vulnerability. Within the new framework of MicroLEIS DSS, Soil Engineering and Technology Prediction Models ...
ePub3.0 supporting multilaguages besides English was announced in May, 2012. So, we propose an ed... more ePub3.0 supporting multilaguages besides English was announced in May, 2012. So, we propose an education system with electronic textbooks of the ePub format and smartphones.
In the present study, the Soil and Water Assessment Tool (SWAT 2000) model was tested on both a m... more In the present study, the Soil and Water Assessment Tool (SWAT 2000) model was tested on both a monthly and yearly basis and applied to the Kordan Watershed, located in Iran. The main objective of the research was to assess the accuracy of the model in sediment-yield and surface water bicarbonate concentration estimation. The attributes of sub-watersheds, tributary channels and the main channel in each sub-watershed were generated using the Digital Elevation Model (DEM) and Geographical Information System (GIS) Arc View SWAT 2000 interface. The model was calibrated and validated for the period from 1990 until 2004. Calibration results revealed that the model predicted monthly and yearly sediment-yield, but not such good results were obtained for the bicarbonate concentration. Therefore, some efforts were made in order to find a solution for SWAT bicarbonate temporal modeling. Around 70 samples of the Kordan River water quality data were used and, upon doing statistical calculations,...
The land suitability analysis can be the first prerequisite in sustainable agriculture. A model w... more The land suitability analysis can be the first prerequisite in sustainable agriculture. A model was designed to determine the soil index based on fuzzy approach. The study area was parts of Abyek and Nazarabad towns in Qazvin and Alborz province of Iran, respectively. The used fuzzy inference system was Mamdani type. In this fuzzy model, the eight number of soil characteristics were selected to assess the land suitability for winter wheat production. The output of the model was the soil index as a number between zero and 100. Fuzzy rules were written using knowledge of some experts. GA approach was used as a complementation of fuzzy approach to optimize fuzzy rules of the model. The results showed that the value of determination coefficient for model after optimization was 0.952 and significant at the 1% level. The results showed the accuracy of fuzzy-GA model and the power of fuzzy method in the modeling. In the other hand, choosing the kind of membership function had a significant effect on result. So to find the best combination of membership function, a total of 24 different combinations of membership functions were tested for fuzzy sets of inputs. The best combination of membership function was triangular for the medial fuzzy sets and trapezoidal shape for the side fuzzy sets, respectively. Classification maps for soil units well prepared in the fuzzy-GA method.
Studiul propriet??ilor solului ca de exemplu capacitatea câmpului (F.C.) ?i gradul de ofilire per... more Studiul propriet??ilor solului ca de exemplu capacitatea câmpului (F.C.) ?i gradul de ofilire permanent (P.W.P) joac? un rol important in studiul umidit??ii solului ?i a curbei de reten?ie. De?i ace?ti parametrii pot fi m?sura?i direct, m?surarea lor este dificil? ?i scump?. Func?iile de pedotransfer (PTF) asigur? o alternativ? prin estimarea parametrilor solului din date privitoare la sol care sunt mai rapid disponibile. In aceast? investiga?ie, 70 de probe de sol au fost colectate din orizonturi diferite a câte 15 profile localizate in regiunea Ziaran, provincia Qazvin, Iran. Datele au fost divizate in dou? subseturi de calibrare (80%) ?i testare (20%) ale modelelor ?i normalitatea lor a fost testat? prin metoda Kolmogorov-Smirnov. Ambele regresii multivariate ?i tehnicile re?elei neurale artificiale (ANN) au fost utilizate pentru a dezvolta PTF-ul corespunz?tor pentru predic?ia parametrilor solului folosind caracteristici u?or m?surabile de argil?, mâl, O.C., S.P., B.D. ?i CaCO3....
Management of laryngeal and hypopharyngeal squamous cell carcinoma (LHSCC) remains highly challen... more Management of laryngeal and hypopharyngeal squamous cell carcinoma (LHSCC) remains highly challenging due to highly variable therapeutic responses. By establishing an in vitro model for LHSCC based on conditional reprogramming (CR), a cell-culture technique, we aim to investigate its potential value on personalized cancer therapies. Herein, a panel of 28 human LHSCC CR cells were established from 50 tumor tissues using the CR method. They retained tumorigenic potential upon xenotransplantation and recapitulated molecular characteristics of LHSCC. Differential responses to anticancer drugs and radiotherapy were detected in vitro. CR cells could be transformed to xenograft and organoid, and they shared comparable drug responses. The clinical drug responses were consistent with in vitro drug responses. Collectively, the patient-derived CR cell model could promisingly be utilized in clinical decision-making and assisted in the selection of personalized therapies for LHSCC.
Abstract Cultivation priority planning is a very important and vital step in suitable and sustain... more Abstract Cultivation priority planning is a very important and vital step in suitable and sustainable revenue of agricultural land. The growth of urban areas and industrial intensification has contributed to a reduction in valuable agricultural lands and to various environmental impacts including climate change. This reduction in agricultural land severely impacts food production and food security. In order to effectively address this issue, spatial analytical and optimization methods based on evaluating multiple criteria decision are needed to evaluate the capability and suitability of available lands for current and future food production. The objective of this study is to implement the GIS and multi-criteria decision analysis (MCDA) techniques as an improved method of multi-criteria decision making for evaluating areas suitable for cultivation priority planning of maize, rape and soybean crops. For this purpose, 12,000 ha land which is located in Ardabil province, west-north of Iran was investigated by excavation of 167 soil profiles and 313 augers. After soil sampling and analysis, soils were classified in Aridisols. 24 soil series and 66 land units were identified and separated in study area. The several criteria had limitation for maize, rape and soybean cultivation in studying lands which the most limiting evaluation criteria including soil depth, slope, climate, pH, electrical conductivity, exchangeable sodium percentage, calcium carbonate and gypsum were selected for usage in prioritization models by principal component analysis and multi-dimensional scaling methods. Selected criteria were very important in growth of maize, rape and soybean. Simple additive weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Fuzzy TOPSIS methods were used for cultivation priority planning of maize, rape and soybean crops in land units. Analytical Hierarchy Process (AHP) and Fuzzy AHP approaches were used to determine weight values of the criteria. Multivariate variance analysis proves significant difference among three methods at 0.05 probability level. With attention to allocated scores by prioritization models, crops cultivation priority was determined as maize, rape and soybean in land units, respectively and maize crop was preferred to other plants. The statistical analysis results with regard to mean comparison derived from least significant difference (LSD) test showed that Fuzzy TOPSIS method set cultivation priority planning of maize, rape and soybean crops for land units more accurately than the others, due to fuzzy TOPSIS method used appropriate values of criteria weights, twin comparing nature of alternative (crop) from positive and negative ideal, data standardization, mathematical equations and matrixes as well as fuzzy logic relations and principles for calculation of process performing. This study emphasizes the successful application of MCDA in dealing with complicated issues in the context of cultivation priority planning management. It is anticipated that, the integration of this developed framework in the planning policies of cultivation priority in developing countries as an effective tool for integrated regional land use planning can help in conducting better control over soil, land and environment losses.
O tráfego intenso de máquinas agrícolas de grande porte sob condições de elevada umidade do solo ... more O tráfego intenso de máquinas agrícolas de grande porte sob condições de elevada umidade do solo induz a ocorrência da compactação. A ausência de mobilização em áreas manejadas sob sistema plantio direto pode fazer com que esta compactação permaneça por longo tempo. Ordenar o tráfego de máquinas agrícolas (tráfego controlado) é uma de mitigar as perdas de produtividade das culturas associadas a compactação do solo e incrementar o rendimento operacional das máquinas agrícolas. Este estudo foi conduzido com o objetivo de avaliar as modificações imposta pelo tráfego controlado de máquinas na resistência do solo a penetração, no desenvolvimento do sistema radicular e na produtividade da soja. O solo do local é classificado como Latossolo Vermelho com textura muito argilosa. Os tratamentos investigados foram: (a) Sem tráfego de máquinas (ST); (b) Tráfego de pulverizador (TP) e (c) Tráfego intenso, acumulando passagens de pulverizador e de conjunto trator-semeadora (TI). O delineamento ex...
The Egyptian Journal of Remote Sensing and Space Science, 2015
Artificial neural network (ANN) model was developed and tested for estimating soil phosphorus (P)... more Artificial neural network (ANN) model was developed and tested for estimating soil phosphorus (P) in Kouhin watershed area (1000 ha), Qazvin province, Iran using terrain analysis. Based on the soil distribution correlation, vegetation growth pattern across the topographically heterogeneous landscape, the topographic and vegetation attributes were used in addition to pedologic information for the development of ANN model in area for estimating of soil phosphorus. Totally, 85 samples were collected and tested for phosphorus contents and corresponding attributes were estimated by the digital elevation model (DEM). In order to develop the pedo-transfer functions, data linearity was checked, correlated and 80% was used for modeling and ANN was tested using 20% of collected data. Results indicate that 68% of the variation in soil phosphorus could be explained by elevation and Band 1 data and significant correlation was observed between input variables and phosphorus contents. There was a significant correlation between soil P and terrain attributes which can be used to derive the pedo-transfer function for soil P estimation to manage nutrient deficiency. Results showed that P values can be calculated more accurately with the ANN-based pedo-transfer function with the input topographic variables along with the Band 1.
Land suitability assessment is an essential step for land use planning and development. Over the ... more Land suitability assessment is an essential step for land use planning and development. Over the last decade, many researchers, organizations, research institutes and governments have tried to provide a comprehensive procedure for the optimal use of agricultural land, but have failed to balance competing issues in a systematic way. Matter element is a multiple criteria decision analysis (MCDA) technique which has shown high potential for solving complicated issues. The use of MCDA techniques such as matter element and analytic hierarchy process (AHP) based on remote sensing (RS) and GIS is a flexible and effective framework to assess and map several different criteria for the strategic placement of cropping. We used data from 167 soil profiles covering 12,000 ha of land located in Ardabil province, northwest of Iran to assess criteria using MCDA techniques that may limit barley production under irrigation. After soil sampling and analysis, 24 soil series (all Aridisols) and 66 land units were identified and separated in the study area. Several criteria were limiting, but the most limiting criteria included: soil depth, slope, climate characteristics, pH, electrical conductivity, exchangeable sodium percentage, calcium carbonate equivalent and gypsum content. Combining and analyzing criteria in an AHPmatter element model generated a land suitability map for barley production. The coefficient of determination (R 2 ) between land suitability index and observed barley yield was 0.947 for AHP-matter element hybrid model. Modeled estimates were compared and showed that the hybrid approach of AHP and matter element techniques was more accurate than the storie and square root methods in selecting the most suitable areas for barley production. The AHP-matter element hybrid method can therefore improve planning and decision making regarding land which is suitable for barley cultivation. This approach may also be suitable other crops.
The AquaCrop model has been used for optimum sowing date determination for maximum yield producti... more The AquaCrop model has been used for optimum sowing date determination for maximum yield production based on historical climate data in Moghan plain, Ardabil province, Iran. Based on phonological data for the eight main cultivated crop gathering from Moghan plain and thirty years climate data, the optimum sowing dates were determined after model calibration. The model used cumulative growing degree days, effective and active base temperature and calculated harvest index to perform each crop yield. Determination coefficient, normalized root mean squared and index of agreement were 0.99, 29.16 and 0.97 respectively. The statistics showed that the model could accurately perform the crop yield estimation in this region. Based on the results the simulated sowing window for winter wheat was a little bit shorter. The winter barley also performed as winter wheat. The spring maize simulated sowing window was longer than usual period. But the simulated sowing window for winter canola, cotton,...
Classical and conventional (traditional) land suitability methods are based on Boolean's Two-valu... more Classical and conventional (traditional) land suitability methods are based on Boolean's Two-valued Logic that defines different land suitability classes completely distinctive. These methods have many disadvantageous in description of capabilities and land suitability for different applications, therefore fuzzy modeling based on fuzzy sets theory is the best method in land suitability assessment. In this theory, membership is not two-valued; instead it could be a range of values from 0 to 1. The function that states the degree of membership in a set is named "membership function". In this research, Pairwise Comparison Method in the form of Analytical Hierarchy Process(AHP) used for weighting different assessed criteria for land suitability of an irrigated wheat field in Takestan and results from fuzzy methods compared with those from conventional methods, for example Parametric method. The correlation coefficient between land index and observed yield in the study area were 0.91 and 0.85 for the fuzzy approach with AHP method and parametric approach respectively.
Dezvoltarea unor modele de simulare a proceselor de sol a crescut rapid in ultimii ani. Aceste mo... more Dezvoltarea unor modele de simulare a proceselor de sol a crescut rapid in ultimii ani. Aceste modele au fost dezvoltate pentru a imbun?t??i in?elegerea proceselor solului importante ?i, de asemenea, s? ac?ioneze ca instrumente de evaluare a problemelor agricole ?i de mediu. In aceast? cercetare, un model de re?ea neuronal? artificial? (ANN) a fost dezvoltat pentru a prezice schimb de cationi din sol. Capacitatea (CEC), a fost numit? kriging neural (NK), prin caracteristicile usor masurabile de lut ?i de carbon organic. 134 probe de sol au fost colectate de la diferite orizonturi de profile de sol, 34 situate in regiunea Ziaran, provincia Qazvin, Iran. Setul de date a fost imp?r?it in dou? subseturi de calibrare (75%) ?i de testare (25%) a modelului. In scopul de a evalua modelul, eroarea p?tratic? medie (RMSE) ?i R2 au fost utilizate. Valoarea de RMSE ?i R2 derivate de model RNA au fost 0,04 ?i 0,97, respectiv. Compara?ia dintre RMSE ?i R2 pentru diferite modele de RNA a ar?tat c? ...
Sustainable agriculture development is the main aim in crop land management. It can be achieved t... more Sustainable agriculture development is the main aim in crop land management. It can be achieved through the simultaneous prediction of land suitability and land vulnerability. Within the new framework of MicroLEIS DSS, Soil Engineering and Technology Prediction Models ...
ePub3.0 supporting multilaguages besides English was announced in May, 2012. So, we propose an ed... more ePub3.0 supporting multilaguages besides English was announced in May, 2012. So, we propose an education system with electronic textbooks of the ePub format and smartphones.
In the present study, the Soil and Water Assessment Tool (SWAT 2000) model was tested on both a m... more In the present study, the Soil and Water Assessment Tool (SWAT 2000) model was tested on both a monthly and yearly basis and applied to the Kordan Watershed, located in Iran. The main objective of the research was to assess the accuracy of the model in sediment-yield and surface water bicarbonate concentration estimation. The attributes of sub-watersheds, tributary channels and the main channel in each sub-watershed were generated using the Digital Elevation Model (DEM) and Geographical Information System (GIS) Arc View SWAT 2000 interface. The model was calibrated and validated for the period from 1990 until 2004. Calibration results revealed that the model predicted monthly and yearly sediment-yield, but not such good results were obtained for the bicarbonate concentration. Therefore, some efforts were made in order to find a solution for SWAT bicarbonate temporal modeling. Around 70 samples of the Kordan River water quality data were used and, upon doing statistical calculations,...
The land suitability analysis can be the first prerequisite in sustainable agriculture. A model w... more The land suitability analysis can be the first prerequisite in sustainable agriculture. A model was designed to determine the soil index based on fuzzy approach. The study area was parts of Abyek and Nazarabad towns in Qazvin and Alborz province of Iran, respectively. The used fuzzy inference system was Mamdani type. In this fuzzy model, the eight number of soil characteristics were selected to assess the land suitability for winter wheat production. The output of the model was the soil index as a number between zero and 100. Fuzzy rules were written using knowledge of some experts. GA approach was used as a complementation of fuzzy approach to optimize fuzzy rules of the model. The results showed that the value of determination coefficient for model after optimization was 0.952 and significant at the 1% level. The results showed the accuracy of fuzzy-GA model and the power of fuzzy method in the modeling. In the other hand, choosing the kind of membership function had a significant effect on result. So to find the best combination of membership function, a total of 24 different combinations of membership functions were tested for fuzzy sets of inputs. The best combination of membership function was triangular for the medial fuzzy sets and trapezoidal shape for the side fuzzy sets, respectively. Classification maps for soil units well prepared in the fuzzy-GA method.
Studiul propriet??ilor solului ca de exemplu capacitatea câmpului (F.C.) ?i gradul de ofilire per... more Studiul propriet??ilor solului ca de exemplu capacitatea câmpului (F.C.) ?i gradul de ofilire permanent (P.W.P) joac? un rol important in studiul umidit??ii solului ?i a curbei de reten?ie. De?i ace?ti parametrii pot fi m?sura?i direct, m?surarea lor este dificil? ?i scump?. Func?iile de pedotransfer (PTF) asigur? o alternativ? prin estimarea parametrilor solului din date privitoare la sol care sunt mai rapid disponibile. In aceast? investiga?ie, 70 de probe de sol au fost colectate din orizonturi diferite a câte 15 profile localizate in regiunea Ziaran, provincia Qazvin, Iran. Datele au fost divizate in dou? subseturi de calibrare (80%) ?i testare (20%) ale modelelor ?i normalitatea lor a fost testat? prin metoda Kolmogorov-Smirnov. Ambele regresii multivariate ?i tehnicile re?elei neurale artificiale (ANN) au fost utilizate pentru a dezvolta PTF-ul corespunz?tor pentru predic?ia parametrilor solului folosind caracteristici u?or m?surabile de argil?, mâl, O.C., S.P., B.D. ?i CaCO3....
Management of laryngeal and hypopharyngeal squamous cell carcinoma (LHSCC) remains highly challen... more Management of laryngeal and hypopharyngeal squamous cell carcinoma (LHSCC) remains highly challenging due to highly variable therapeutic responses. By establishing an in vitro model for LHSCC based on conditional reprogramming (CR), a cell-culture technique, we aim to investigate its potential value on personalized cancer therapies. Herein, a panel of 28 human LHSCC CR cells were established from 50 tumor tissues using the CR method. They retained tumorigenic potential upon xenotransplantation and recapitulated molecular characteristics of LHSCC. Differential responses to anticancer drugs and radiotherapy were detected in vitro. CR cells could be transformed to xenograft and organoid, and they shared comparable drug responses. The clinical drug responses were consistent with in vitro drug responses. Collectively, the patient-derived CR cell model could promisingly be utilized in clinical decision-making and assisted in the selection of personalized therapies for LHSCC.
Abstract Cultivation priority planning is a very important and vital step in suitable and sustain... more Abstract Cultivation priority planning is a very important and vital step in suitable and sustainable revenue of agricultural land. The growth of urban areas and industrial intensification has contributed to a reduction in valuable agricultural lands and to various environmental impacts including climate change. This reduction in agricultural land severely impacts food production and food security. In order to effectively address this issue, spatial analytical and optimization methods based on evaluating multiple criteria decision are needed to evaluate the capability and suitability of available lands for current and future food production. The objective of this study is to implement the GIS and multi-criteria decision analysis (MCDA) techniques as an improved method of multi-criteria decision making for evaluating areas suitable for cultivation priority planning of maize, rape and soybean crops. For this purpose, 12,000 ha land which is located in Ardabil province, west-north of Iran was investigated by excavation of 167 soil profiles and 313 augers. After soil sampling and analysis, soils were classified in Aridisols. 24 soil series and 66 land units were identified and separated in study area. The several criteria had limitation for maize, rape and soybean cultivation in studying lands which the most limiting evaluation criteria including soil depth, slope, climate, pH, electrical conductivity, exchangeable sodium percentage, calcium carbonate and gypsum were selected for usage in prioritization models by principal component analysis and multi-dimensional scaling methods. Selected criteria were very important in growth of maize, rape and soybean. Simple additive weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Fuzzy TOPSIS methods were used for cultivation priority planning of maize, rape and soybean crops in land units. Analytical Hierarchy Process (AHP) and Fuzzy AHP approaches were used to determine weight values of the criteria. Multivariate variance analysis proves significant difference among three methods at 0.05 probability level. With attention to allocated scores by prioritization models, crops cultivation priority was determined as maize, rape and soybean in land units, respectively and maize crop was preferred to other plants. The statistical analysis results with regard to mean comparison derived from least significant difference (LSD) test showed that Fuzzy TOPSIS method set cultivation priority planning of maize, rape and soybean crops for land units more accurately than the others, due to fuzzy TOPSIS method used appropriate values of criteria weights, twin comparing nature of alternative (crop) from positive and negative ideal, data standardization, mathematical equations and matrixes as well as fuzzy logic relations and principles for calculation of process performing. This study emphasizes the successful application of MCDA in dealing with complicated issues in the context of cultivation priority planning management. It is anticipated that, the integration of this developed framework in the planning policies of cultivation priority in developing countries as an effective tool for integrated regional land use planning can help in conducting better control over soil, land and environment losses.
O tráfego intenso de máquinas agrícolas de grande porte sob condições de elevada umidade do solo ... more O tráfego intenso de máquinas agrícolas de grande porte sob condições de elevada umidade do solo induz a ocorrência da compactação. A ausência de mobilização em áreas manejadas sob sistema plantio direto pode fazer com que esta compactação permaneça por longo tempo. Ordenar o tráfego de máquinas agrícolas (tráfego controlado) é uma de mitigar as perdas de produtividade das culturas associadas a compactação do solo e incrementar o rendimento operacional das máquinas agrícolas. Este estudo foi conduzido com o objetivo de avaliar as modificações imposta pelo tráfego controlado de máquinas na resistência do solo a penetração, no desenvolvimento do sistema radicular e na produtividade da soja. O solo do local é classificado como Latossolo Vermelho com textura muito argilosa. Os tratamentos investigados foram: (a) Sem tráfego de máquinas (ST); (b) Tráfego de pulverizador (TP) e (c) Tráfego intenso, acumulando passagens de pulverizador e de conjunto trator-semeadora (TI). O delineamento ex...
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