Original Article
Sadegh Afzalinia; Seyed Ebrahim Dehghanian; Khadijeh Alijani; dadgar mohammadi; Seyed Mashaallh Hosseini; Afshar Estakhr; Seiid Mansur Alavimanesh; Mashaallah Zare
Abstract
In this research, effects of tillage and planting methods (planting on permanent raised beds, no-till, and conventional tillage) on soil properties such as bulk density, moisture content, and organic carbon and water consumption, water productivity, and crop yield were evaluated in the form of randomized ...
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In this research, effects of tillage and planting methods (planting on permanent raised beds, no-till, and conventional tillage) on soil properties such as bulk density, moisture content, and organic carbon and water consumption, water productivity, and crop yield were evaluated in the form of randomized complete blocks experimental design with three treatments and six replicates in corn-wheat rotation. Results showed that the raised bed planting produced the maximum forage corn (95.33 ton/ha) and wheat yield (7.01 ton/ha) and no-till produced the minimum silage corn (87.06 ton/ha) and wheat yield (5.23 ton/ha) which had no significant difference with the conventional tillage. Forage corn consumed the maximum amount of water (9531 m3/ha) in the conventional tillage and the minimum water (8155 m3/ha) in no-till; while, there was no significant difference between treatments from the point of view of water productivity. Wheat consumed the maximum amount of water (7177 m3/ha) in raised bed planting, but there was no significant difference between treatments from the stand point of water productivity. Results also showed that conservation tillage methods increased soil moisture content in forage corn planting (around 11%), but had no significant effect on the soil moisture content in wheat planting.
Original Article
Leila Anbarestani; Morteza Almassi; hossein bakhoda; Mohammad Ghahdarijani
Abstract
The current research was conducted with the aim of identifying and prioritizing strategies for increasing the productivity of agricultural mechanization in wheat production. This research was based on a mixed method and in two phases, qualitative and quantitative. In this research, the integrated approach ...
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The current research was conducted with the aim of identifying and prioritizing strategies for increasing the productivity of agricultural mechanization in wheat production. This research was based on a mixed method and in two phases, qualitative and quantitative. In this research, the integrated approach of SWOT, PESTEL and AHP has been used. First, by using SWOT analysis in the framework of PESTEL, the strengths, weaknesses, opportunities and threats of wheat production mechanization and strategies to increase the productivity of mechanization of wheat production were identified . Then the process of hierarchical analysis was used to calculate the weight and importance of each of the criteria and strategies. In order to collect data, written sources, interviews and paired comparison matrix questionnaires were used, and the participants in the research were university and organizational experts in the field of agricultural mechanization. The results showed that although mechanization in wheat production has many strengths, the weaknesses are more effective. Also, despite the fact that mechanization has many threats, but the opportunities are more effective. Therefore, the officials should try to make the most of the available opportunities by reducing the weaknesses. As a result, from the expert's point of view, conservative strategies were prioritized in terms of importance. Increasing the technical efficiency, production of suitable technologies for all types of operating systems, improvement and modernization of the system, use of irrigation methods under pressure and create transformation in the process of land preparation , conservative strategies were suggested in this research.
Original Article
Ghasem Zarei; Jalal Javadi Moghaddam
Abstract
For controlling biotic/abiotic stresses in protected environment, using shade/net house is effective. Unlike greenhouse, shade/net house is designed for non-extreme loads. Method of applying loads as key point should be considered in design of structure. Design of columns is controversial issue considering ...
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For controlling biotic/abiotic stresses in protected environment, using shade/net house is effective. Unlike greenhouse, shade/net house is designed for non-extreme loads. Method of applying loads as key point should be considered in design of structure. Design of columns is controversial issue considering moments caused by wind. These bending&twisting moments in columns are created dueto imbalance of wind. Columns used in shade/net structures have direct effect on its strength, under different loads. Stress analysis of columns with rectangular section,C&U channels are considered for comparison. Analysis were down bySolidWorks. This stress analysis was performed for mentioned columns that are placed next to each other in double form. Analysis of single columns showed that in front loading, column with U section has more strength than other columns&it had less deflection. In lateral loading, less stress was calculated for U section. In terms of torsional load, column with rectangular section performed better&had smaller deviation than U&C channel columns. It can be concluded that in mentioned single columns, performance of U section is more acceptable. Results of loading&analysis of three types of double columns showed that strength of U profile is higher than that of rectangular tube&Cchannel. Deflection created was less than other two types of columns. In lateral loading, stress analysis showed that U column has more strength&has less deflection. In torsional loading, double rectangular column had more strength&less deflection than other two sections. Based on stress analysis results,it was clarified that double U section has more strength&successfully can be used in shade/net houses.
Original Article
mohsen najafabadiha; Davood Mohammad Zamani; mohammad Gholami Parashkoohi
Abstract
Today artificial intelligence techniques and machine learning technologies have facilitated the identification and classification of plant diseases. In this research, in order to diagnose and classify grape plant leaf diseases with the names Black Rot, Black Measles and Leaf Blight, after removing the ...
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Today artificial intelligence techniques and machine learning technologies have facilitated the identification and classification of plant diseases. In this research, in order to diagnose and classify grape plant leaf diseases with the names Black Rot, Black Measles and Leaf Blight, after removing the background from the images of the leaves and extracting the features of texture, color and shape from the images, A combination of support vector machine classifier and butterfly optimization algorithm was used to select the most important features in the diagnosis of grape plant leaf disease. The results of the precision for Black Rot, Black Measles, and Leaf Blight diseases and healthy leaves were 100, 100, 100 and 95% respectively, and the classification accuracy for the diagnosis of the diseases and healthy group was 98.75%. The classification results showed that the use of image processing and machine learning has a high ability to diagnose and classify plant diseases. Also, 15 characteristics of texture, color and shape were introduced to the researchers of plant pathology and data science with the help of butterfly optimization feature selection algorithm. The results showed that the use of image processing techniques and artificial intelligence has a good ability to diagnose plant diseases.
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