دکتر محمود قاسمی نژادرائینی

Innovative technologies, such as smart sprayers, are pivotal catalysts for modernizing the agricultural sector and play an indispensable role in providing food for human consumption. Without the utilization of these technologies and the implementation of proper input management, it is predicted that environmental impacts will worsen in the future. Attaining sustainable production, while implementing programs to ensure food security, presents a considerable challenge for researchers and policymakers worldwide. In this research, the performance of a fixed-rate orchard sprayer was evaluated. Employing various equipment, the sprayer was then upgraded to a variable-rate sprayer, and its performance was reevaluated and compared to the fixed-rate model.

This research comprehensively evaluated a fixed-rate orchard sprayer and subsequently upgraded it to a variable-rate sprayer for further assessment. The primary components of the developed variable-rate sprayer, consists of an ON-OFF solenoid valve, a digital camera for imaging purposes, an ultrasonic sensor, a flow meter, and a control circuit. The necessary modifications were implemented on a fixed-rate turbine sprayer. The development of the variable-rate sprayer was devided into two distinct phases. The initial phase involved determining the canopy volume and acquiring the necessary information pertaining to the spraying target, specifically the tree. The subsequent phase focused on decision-making and control of the spraying rate, thereby facilitating variable-rate application. Upon laboratory examination of the samples, spectroscopic results were obtained, and the total concentration of the pesticide solution was calculated across different sections of a one-hectare orange orchard. An investigation into the sedimentation of pesticide solution was conducted across different treatments in two spraying modes namely, variable-rate and fixed-rate and at three distinct speeds: low (1.6 km hr-1), medium (3.2 km hr-1), and high (4.8 km hr-1) resulting in six treatments.

The comparative analysis of average pesticide deposition on trees revealed a significant difference between the two spraying modes; variable-rate and fixed-rate. All indicators demonstrate that the type of sprayer and the spraying speed significantly influence changes in pesticide deposition across different treatments. However, the interaction effect of the type of sprayer and the speed of spraying did not significantly impact the amount of pesticide deposition on the trees and the total consumption of pesticide per hectare. The results indicated that neither the type of sprayer, nor the speed of spraying, nor their interaction had a significant effect on the spraying quality index. Furthermore, the numerical median diameter and volume median diameter were not significantly different across the treatments.
The maximum pesticide consumption savings in the variable-rate spraying mode was 46%, achieved at a speed of 1.6 km hr-1. The maximum efficiency was 70% in the variable-rate spraying mode, occurring at a speed of 3.2 km hr-1. The lowest amount of pesticide deposition on the canopy of trees was observed in the variable-rate spraying method at the speed of 4.8 km hr-1 (1303 L ha-1), and the highest amount of deposition occurred in the fixed-rate spraying at the speed of 1.6 km hr-1 (2121 L ha-1). The highest amount of pesticide release in the air was also calculated in the fixed-rate spraying mode with a speed of km hr-1 (241 L ha-1) and the lowest value was calculated in the variable-rate spraying mode with a speed of 3.2 km hr-1.

Emerging technologies, such as smart sprayers, play a crucial role in increasing the productivity of the agricultural sector. If these technologies are not utilized, the challenges related to the sustainability of production will increase in the future. One of the critical operations in the production of agricultural products is the spraying phase. In this research, a fixed-rate sprayer was upgraded to a variable-rate sprayer, both sprayers were evaluated, and the results of this evaluation were then used to compare the two spraying systems. The results revealed that because the amount of the pesticide sprayed is controlled in real time by canopy volume detection in the variable-rate sprayer, in the best case (speed 1.6 km hr-1), it reduced pesticide consumption by 46% and reached 70% efficiency. In all the studied treatments, both the type of sprayer and the speed of spraying significantly affected changes in pesticide deposition. However, the interaction between the type of sprayer and the speed of spraying did not have a significant effect on the amount of pesticide deposition on trees or total pesticide consumption per hectare. There was no significant difference in the coverage percentage of the pesticide deposition on the target in different treatments, and the best spraying quality occurred in variable rate spraying with a speed of 4.8 km hr-1.
By using a variable-rate sprayer, while saving on the costs of chemical pesticide consumption and spraying, toxic emissions that cause environmental pollution will also be reduced. Future research should focus on developing a variable-rate system based on independent nozzles, allowing for real-time control of each individual nozzle's spraying.

Environmental crises and resource depletion have adversely affected environmental resources and food security in the world. Therefore, with the global population growth in the coming years and the rising need to produce more food, attention must be given to environmental issues, energy consumption, and sustainable production. The purpose of this study is to evaluate the pattern of energy consumption, environmental impacts, and optimization of the studied energy indicators in dairy cattle breeding industrial units in Khuzestan province, Iran.

This research was conducted in Khuzestan province, located in the southwest of Iran. Energy indicators including energy ratio, energy efficiency, specific energy, and net energy were used to determine and analyze the relationships between the output and input energy. Additionally, the life cycle assessment methodology was used to assess the environmental impact. Life cycle assessment includes a goal statement, identification of inputs and outputs, and a system for assessing and interpreting environmental impacts, and can be a good indicator for assessing environmental issues related to production. The life cycle assessment method used in this study was CML-IA baseline V3.05, which includes the four steps of (1) selecting and classifying impact categories, (2) characterizing effects, (3) normalizing, and (4) weighting. Overall, 11 impact groups were studied. The Data Envelopment Analysis (DEA) method with the Anderson-Peterson model was used for optimization. This method identifies the most efficient production unit and makes it possible to rank all of the farms in the region. In this study, each production unit (farm) was considered a decision-making unit (DMU), and its production efficiency was determined based on two models. Namely, the Charnes, Cooper, and Rhodes (CCR) model also known as Constant Return to Scale (CRS), and the Banker, Charnes, and Cooper (BCC) model also known as Variable Return to Scale (VRS).

The results showed that the input and output energies per cow per day were 173.34 and 166 MJ, respectively. Livestock feed and electricity accounted for 65.47% and 27.2% of the input energy, respectively, while the oil used for tiller-scraper lubrication of fertilizer collection accounted for only 0.01%, making it the lowest input energy. Energy efficiency, specific energy, and net energy were calculated as 0.95, 0.13 kg MJ-1, 7.51 MJ kg-1, and -7.20 MJ per cow, respectively. In the abiotic depletion impact group, animal feed, machinery, and livestock equipment had the highest environmental impacts. The results showed that animal feed had the highest environmental emissions in all impact groups except for abiotic depletion of fossil fuels where electricity had the greatest effect. CRS model determined that 7 units were efficient; with an average efficiency of 0.78. In the BCC model, 20 production units were calculated as highly efficient, and the average efficiency was computed to be 0.78.

In dairy farms in Khuzestan province, animal feed and electricity were found to have the highest energy consumption. In most impact groups, animal feed had the highest environmental effects. Specifically, in the abiotic depletion impact group, animal feed, livestock machinery, and equipment had the highest environmental effects. Considering the length of the heat period and the intensity of the solar flux, the installation of solar panels on the farm's roof to generate electricity can help reduce the consumption of non-renewable energy and mitigate radiation intensity under the roof.

Innovation is a strategy to achieve economic, social and environmental goals that includes the production, dissemination and translation of knowledge and technology in the use of new resources and processes. The purpose of this study was to review the system of innovation and research and development in agriculture in Argentina. The research method was the use of best evidence, which is an intermediate method between the two methods of writing systematic review articles and narrative review. The results showed that in 2020, Argentina was ranked 80th in the world in the overall innovation index with a score of 28.33. The country ranked 97th in organizing, 120th in market sophistications, 75th in knowledge and technology outputs, 71st in creative outputs, and 61st in business sophistications. Argentina had the best performance in human capital and research and the weakest in market sophistications. 14% of all patents, 21% of scientific journals and 17% of citations belonged to the agricultural sector. Effective international cooperation and powerful private associations were strengths and Axis supply, weak monitoring mechanism and innovation gap in different regions were among the weaknesses of the innovation system in Argentina. Establishing a network of Iranian researchers and scholars abroad in order to make the best use of their capacity, as was the case in Argentine agriculture, can lead to the development of science and technology in the agricultural sector of Iran.

Soil moisture is one of the main factors determining the better growth of plants which are widely well-received today, especially in greenhouses. Measuring the soil moisture and the environmental factors has high costs continuously and annually, in addition to being time-consuming. Therefore, one of the intelligent predictive tools that have a vast position in agricultural science is the neural network tool with the least amount of error. In this study, soil moisture and temperature percentage, light, ambient temperature, and humidity in a greenhouse located in northeastern Khuzestan were Measured and recorded during two seasons of winter and spring to control soil moisture by a moisture prediction map based on an artificial neural network. The results show an accurate forecast of soil moisture map in winter and spring between actual values that were measured and values that were predicted with the lowest standard error (1.12 and 1.71) and the highest coefficient of determination (R2) of 0.94 and 0.78, respectively, and the highest coefficient of determination were 0.87 and 0.93, respectively, by the artificial neural network in the experimental stage for winter and spring. Therefore, the remarkable accuracy in the prediction of soil moisture by this software shows its importance and high reliability in agriculture and greenhouses which makes it easier to control soil moisture and less moisture stress occurs for soil and the plant consequently.

Introduction :

Achieve more production, efforts should be made to increase yield per hectare. One of the things that play an important role in increasing crop production, disease control, chastity control, improving soil fertility and structure is the implementation of proper crop rotation. Crop rotation increases the efficiency of production and yield through the continuity of soil vegetation, more efficient water use, preservation of soil nutrients, increase of soil organic matter and stability of soil grains, reduction of pests and diseases, and better control of weeds. Also, data collection in the conducted research is done in a traditional way, which is usually difficult, limited and very time-consuming due to the dispersion of farms and their size.

Materials and Methods:

 His study was conducted to investigate the effect of crop rotations on wheat yield using satellite images in three crop years 2017-2018, 2019-2028, 2019-2020 in the fields of Shavor region of Khuzestan province. In this research, all the evaluated images are related to the Sentinel-2 satellite and all these images were obtained from the US Geological Survey website. The satellite images were taken at the flowering stage of wheat, and images without clouds and fog were used on February 25, 2019 (for the year before rotation) and February 19, 2021 (for the year after rotation). Also, for pre-processing and processing and extracting information, SNAP software, Sen2Cor and ENVI plugin were used, respectively. The steps of this research were done in three steps. In the first stage, five plant spectral indices EVI, GNDVI, GARI, NDVI and RVI were evaluated to identify the best index to estimate wheat yield. The spectral index, which has a higher correlation with the yield of wheat, was chosen as the base index and was used to continue the research. In the second stage, three farms were randomly selected from each rotation to evaluate wheat yield after their application. In this section, variance analysis was performed in the form of a completely random design in three replications (one replication for each farm). The treatments include four alternations of wheat-wheat-wheat, wheat-canola-wheat, wheat-rice-wheat and wheat-clover-wheat. At this stage, the comparison of means was done by Duncan's multi-range test and in the MSTATC software environment. The third stage is the changes in wheat yield in each rotation in two times before and after applying that rotation. For this purpose, the changes of the base spectral index before and after the application of periodicity were set as criteria.

Results:

The results of variance analysis of five spectral indices studied in this research showed that the coefficient of explanation of each of these indices with wheat yield at the time of flowering is NDVI with 76, RVI with 73, GARI with 71, EVI with 60 and GNDVI with 57 respectively. In this research, the NDVI spectral index has the highest correlation, R2 of 76%, and the minimum error, RMSE of 0.547 earned the results showed that the average and the dispersion coefficient of the NDVI spectral index of intervals have a significant difference at the probability level of 1%. So that in terms of the average, the lowest average of the NDVI spectral index is in wheat-rice-wheat rotation with a rate of 0.2650 and the highest average is in the wheat-clover-wheat rotation with a rate of 0.5603. According to the distribution coefficient, the minimum and maximum values belonged to the rotation of wheat-canola-wheat with the rate of 0.0505 and wheat-rice-wheat with the rate of 0.1970. The results of the corresponding comparison before and after the application of each rotation showed that not observing the rotation and wheat cultivation after two crop years led to a 10% decrease and the use of rice in the crop rotation led to a 50% decrease in the NDVI spectral index. Also, the use of rapeseed and clover in crop rotations has led to an increase of 2 and 30% in NDVI spectral index compared to before rotation. The results of the dispersion coefficient of the NDVI spectral index in the time before and after the application of rotation showed that in the continuous cultivation of wheat, the dispersion coefficient due to the decrease in yield uniformity in different parts of the field led to an increase of 27% and in the rotation of wheat-rice-wheat it led to an increase of 152 became a percentage However, the distribution coefficient of wheat-canola-wheat rotation and wheat-clover-wheat rotation resulted in a decrease of 57 and 32%, respectively, due to the increase in yield uniformity in different parts of the field.

Conclusion:

 Heat is one of the strategic products, and the evaluation of different rotations is of particular importance in increasing its yield. In this research, five plant spectral indices EVI, GNDVI, GARI, NDVI and RVI were investigated in order to identify the base index for wheat yield estimation. The results of the analysis of these indices showed that the NDVI spectral index with an explanation coefficient of 76% has the highest correlation with wheat yield. The comparison results of the NDVI spectral index correspondingly in each rotation in two states before and after the rotation showed that the continuous cultivation of wheat in an agricultural land after two crop years led to a 10% decrease in the NDVI spectral index and the use of rice in the wheat-rice rotation. - Wheat leads to a 50% decrease in the NDVI spectral index of wheat; But the use of canola and clover in the rotation of wheat-canola-wheat and wheat-clover-wheat led to an increase of 2% and 30% of NDVI spectral index, respectively. Also, the results of the comparison of the dispersion coefficient of the NDVI spectral index before and after the application of rotation showed that in the continuous cultivation of wheat, the dispersion coefficient increased by 27% due to the decrease in yield uniformity in different parts of the field, and in the wheat-rice-wheat rotation, the dispersion coefficient also as a result of the reduction of yield uniformity in different parts of the farm, it led to an increase of 152%.

In recent decades, population growth has led to changes in dietary behavior and a significant increase in global demand for food production, which has led to the promotion of heavy use of agricultural land. water shortage in arid and semi-arid regions is one of the most important factor that affect crops production. The use of different conservation tillage methods such as minimum tillage and the use of organic and inorganic mulch as methods used in sustainable agriculture, can reduce water and energy consumption in an agricultural system. Soil water affects plant growth and development. So that even a small change in soil water content can significantly change the productivity of crops. Soil cover or mulch is one of the management strategies to increase water use efficiency of agricultural products.

In this study, research was conducted to investigate the effect of conservation tillage methods and plasticulture patterns on water use efficiency and strawberry crop yield in 1398. The water use efficiency was calculated to assess the effects of tillage and plastic covers in the field. . The experiment was conducted using of factorial design in the form of randomized complete blocks with three replications. The plots included two types of tillage systems (conventional and conservation) and three methods of plastic cover (planting under plastic, over plastic and without plastic coverage). This experiment was performed in 18 plots with dimensions of 0.8×15 meters. 3 rows were planted in each plot. The distance between sub-plots was 75 cm as a ridge, the distance between main plots was 1 and a half meters and the distance between replicates was 2 meters. Water use efficiency (WUE) is one of the most important indicators for measuring agricultural water productivity. This index is actually the ratio of the amount of product produced per amount of water consumed (evaporation-transpiration) of the plant. In this definition, instead of evaporating and transpiration of the plant, the amount of water used in the field can be replaced and the amount of crop production per unit volume of water used in irrigation can be obtained. The higher this ratio, the better the water consumption.

The two factors of tillage and planting pattern only affected soil moisture content at a depth of 0-10 cm and no significant effect was observed between different treatments at a depth of 10-20 cm. Minimum tillage in the pre-irrigation and post-irrigation stages has the highest moisture content. Conventional tillage disturbs the soil more than minimum tillage, increasing pores and unevenness of the soil surface, thereby increasing surface evaporation. Planting pattern had the highest moisture content and over plastic planting pattern had the lowest moisture content. Plastic cover is a barrier that prevents soil water from evaporating and keeps the root zone moisture regime at more stable levels, thus reducing the need for irrigation and preventing physiological disorders related to nutrients and water. There is no significant difference between tillage factor in two levels of conventional and low tillage and only planting pattern at 1% level has a significant difference. Different planting patterns significantly affected strawberry yield. According to the comparison of the average, the highest yield was related to the planting pattern on plastic and the lowest was obtained on the planting pattern without plastic. Since the yield of strawberries in different tillage methods was not significantly different and in this study the same amount of water was used in different methods. Therefore, tillage methods had no significant effect on strawberry water productivity.

The data was shown that the use of conservation tillage and plasticulture increased soil moisture retention by 22% which is due to the prevention of evaporation of soil moisture by Plastic mulch and Plant residue cover and less soil disturbance in conservation tillage. Conservation tillage has no significant effect on strawberry yield due to the slow trend in changing soil properties, but plastic mulch increased strawberry yield by 31.71% due to the increase in soil moisture retention. Since the type of tillage did not have a significant effect on strawberry yield in this study, therefore, tillage does not have a significant effect on water use efficiency, but different planting patterns, due to affecting yield, significantly increase water use efficiency here.

Selection of appropriate technology is one of the most effective factors in agricultural mechanization. It is unavoidable to pay attention to transfer of technology in parallel with R&D, since there are many difficulties in the agricultural mechanization; e.g. the gap between technical and applied knowledge in the production of new technologies; obstacles in the commercialization and mass production of scientific findings, as well as the necessity of comprehensive macro-planning. In this study, effective criteria and sub-criteria in the process of transfer of technology of agricultural mechanization have been identified and ranked using Demetel method and network analysis. The results show that the degree of effectiveness and efficiency of technology transfer stages, including technology selection and acquisition, adaptation, absorption and application of technology, and technology development and dissemination, are equal to each other. Regarding the selection and acquisition of technology, the choice of supplier and the choice of transfer method have the greatest impact. Also, economic, policy and social sub-criteria and human capital development, guarantees and policies to guarantee goods and market position and credibility have been identified as sub-criteria and criteria. The ranking results show that job creation, compliance with national technological policy and research and development are the most effective criteria in the process of transfer of technology in agriculture.

Today, farmers are looking for solutions to increase production and income. One of these solutions is the supplyink off-season crops and horticultural products. Considering the high level of okra production and consumption in Khuzestan province, this study was conducted with the aim of evaluating the economic systems of this product. In this area, okra is cultivated in three ways: okra planted under plastic, mulch and open field. Required data was collected using face-to-face questionnaire from 120 okra growers. The highest amount of net income (287.44 million Rials per hectare) was obtained in okra planted under plastic, plastic mulch (87.06) and open field (61.98) were in the next priorities respectively. The highest amount of benefit-cost ratio (3.7) was obtained in okra planted under plastic, open field (2.3) and plastic mulch (2.1) were in the next priorities respectively. The highest amount of production cost (103 million Rials per hectare) was obtained in in okra planted under plastic, plastic mulch (78.5) and open field (48.7) were in the next priorities respectively. The highest amount of mechanization cost index (10.6%) was obtained in open field, plastic mulch (6.8%) and okra planted under plastic (4.6%) were in the next priorities respectively.

Rice is one of the most important cereal grains in the world. Milling is one of the most important phases of the paddy processing that affects the quality and quantity of the product. Postharvest losses include threshing, drying, transportation and milling contains about 30–40% of total produced rice in developing country. Parboiling increases the mailing efficiency of rice from 51% to 80%, protein, fat and ash content. Champa variety is one of the most important varieties of rice in the southwest of Iran and has low milling quality in spite of its flavor and aroma. This study was conducted to assess increasing the quality of Champa rice milling phase by parboiling method. This study was conducted to‏ assess the increasing quality of Champa rice milling phase by parboiling method in the growing season of 2016 in Lordegan city. Paddies were prepared from a rice farm in Lordegan city. Parboiling treatments consisted of three soaking temperatures (35, 55 and 75 °C) and two steaming times (15 and 25 minutes) at a steam temperature of 110 °C. This study was performed in a factorial experiment based on a completely randomized design in three replications. Parboiling process included soaking, steaming, drying and whitening. Bain Marie was used to keep the water temperature constant in two phases of soaking and steaming. Samples were placed in a oven to decrease the humidity in the drying phase. Breakage percentage, loss of solid material, milling efficiency, whiteness degree and the ratio of length to width were measured in raw and baked rice in all samples. Breakage in control treatment (non-parboiling) was 19.38%. The lowest breakage percentage (4.03%) was obtained in parboiling treatment (soaking temperature of 55 °C and a steaming time of 15 minutes). Parboiling improved milling efficiency and reduced loss of solid materials. Highest milling efficiency (67.11%) was obtained in a soaking temperature of 55 °C and steaming time of 25 minutes. The lowest amount of loss of solid materials (1.74%) was obtained in a soaking temperature of 75 °C and steaming time of 25 minutes. The highest ratio of length to width (2.46) and the highest whiteness degree (76.54%) was obtained in no parboiling treatment. There was no significant difference in water absorption parameter between parboiling treatment and non-parboiling treatment. Champa rice variety has a very good flavor and aroma but did not have good appearance and its breakage percentage is not good. Parboiling reduces the breakage and improves the appearance in raw and baked rice. Parboiling had a lot of positive effects on the milling quality of this rice cultivar. The best treatment (soaking temperature of 55 °C and steaming time of 25 minutes) reduced breakage percentage (by 79%) and loss of solid materials (by 37%) and increased milling efficiency (by 2%) in comparison with control treatment (non-parboiling). Overall, parboiling reduced rice streaking during baking by improving the quality attributes of paddies and finally improved the rice shape.

In order to study the effects of tillage, crop residue, and super absorbent on canola seedling emergence and yield, an experiment was conducted in Izeh region, east of Khuzestan in 2014. A strip spilt plot design was applied in form of randomized complete block using 3 replications.. The main treatments consisted of three tillage conventional tillage (moldboard plow and disk) reduced tillage (combination tillage and disk) and no tillage(direct seeding). Secondary treatments were different amounts of super absorbent (0, 30, 60, and 90 kg/ha), and the third treatment was 2 levels of wheat residue (60% and 0%). Reduced tillage method with 66.25% showed the maximum seedling emergence compared to no-till treatment (7.59%). The maximum seedling emergence (68.94%) was achieved from 90 kg/ha super absorbent. Reduce tillage method with 1674 kg/ha and no-tillage with 1134 kg/ha showed the maximum and the minimum yield respectively. Finaly, the results were shown that superabsorbent and crop residues were affected in increased soil moisture content and grain yield

To evaluate the technical factors affecting drift and droplet size of turbo liner sprayer and its regression analysis while spraying, a research was conducted in canola fields at the Ramin Agriculture and Natural Resources University of Khuzestan in1394 year. Three-factor factorial experiment with three replications in a completely randomized design was performed. The first factor was the pressure of the sprayer with three levels (10, 25 and 35 bar), the second factor was fan speed with two levels (1998 and 2430 rpm) and the third factor was forward speed at two levels (9 and 13.5 km/ hr). With increasing spraying pressure, fan speed as well as forward speed, the drift was increased and the droplet size and sediment were decreased at the level of significant 1% value. According to the results of linear regression analysis for drift, sediment and droplet size, the pressure has the greatest effect on drift, DV50 and sediment.

Today, attention to safety and environmental issues in all sectors in agriculture, industry and services is very important. Chemical poisons play an important role in rapid progress of agricultural products. Every year about 25 to 35 percent of the world's crops are affected by insects, weeds and plant pathogens disappear and this figure would be raised to 80% if no control was applied. Drift problem and its devastating effects are the most important issue which related to users and sprayers manufacturers. Spray drift reduction and improvements in the efficiency of pesticide application processes are global goals. Where ever spraying is applied, drift will be produced and it must be controlled by controlled of the droplet size. The application of these sprayers is the high in the farms (the number of 2303 in Iran). So, this research was carried out to improve the quality of work in these sprayers by studying the droplets diameter and the spray quality index.
The research was conducted at the University of Khouzestan Ramin Agriculture and Natural Resources. Tests were done with 20 m of water sensitive papers at a distance of 2 meters from each other. To evaluate the technical items affecting on drift, an experiment was conducted using a turbo liner sprayer (TURBINA S.A. 800) and the John Deer (JD) 3140 tractor. A completely randomized factorial design was applied. By using 3 replications and the factors were spraying pressure applying three levels (10, 25 and 35 bar), the fan speed with two levels (1998 and 2430 rpm) and forward speed with two levels (9 and 13.5 km hr-1). The sprayer started the application, spraying a solution of water and tracer (yellow Tartrazine E 102), 15m before the water sensitive papers and then moved over the water sensitive papers. The spraying was continued 15 m after the end of the sampling area. After spraying, sensitive papers were photographed and then volume diameter of 50% (DV50) and median numerical diameter (NMD) and spraying quality indicator were calculated. A Spectrophotometry device at the wavelength of 427 nm, Image J and sas 9.2 software were used for measurement. This research was carried out in accordance with the calendar crop canola spraying in field conditions and the weather was calm that the wind speed was 0- 2.5 km hr-1, relative humidity was 29.7% - 32.5% and air temperature was 18.8˚C – 20.7˚C.
According to the results sprayer pressure, fan speed and forward speed were shown significantly different (P≤0.01) on the volume diameter of 50% (DV50) and median numerical diameter (NMD). The effect of spraying pressure on distributing quality indicator was shown significant (P ≤ 0.01), but the fan and forward speed did not shown any significant effect. Mean comparison of the interaction of pressure and forward speed on the spray quality index and the number median diameter were shown significant (P ≤ 0.01), but they did not shown any significant effect on the volume diameter of 50% (DV50). With increasing spraying pressure and fan speed, the droplet size, volume diameter of 50% (DV50) at 72% and numerical median diameter (NMD) at 69% and distributing quality indicator at 46% were decreased that were corresponded with the result of Czaczyk et al. (2012), Peyman et al. (2011), Nuyttens et al. (2009) and Landers and Farooq (2004). With increasing spraying pressure and forward speed, the droplet size, numerical median diameter (NMD) at 63% and distributing quality indicator at 35% were decreased that these resulted were corresponded with the results of Naseri et al. (2007) and Dorr et al. (2013).
With increasing spraying pressure, fan and forward speed, the droplet size, volume diameter of 50% (DV50) and numerical median diameter (NMD) were decreased. Therefore, spraying quality indicator was decreased. The maximum pressure (35 bars), maximum fan speed (2430 rpm) and maximum forward speed (13.5 km hr-1) were able to produce the minimum spraying quality indicator (10.3). At the minimum pressure (10 bars), maximum fan speed (2430 rpm) and minimum forward speed (9 km hr-1), the maximum spraying quality indicator (2.91) was resulted.

In order to evaluate the effects of seed bed preparation, fertilization and weed control (after planting) methods on growth and corn yield in northern part of Khuzestan a field experiment was conducted as split blocks in a randomized complete block design with four replications during 2009 and 2010. Three seed bed preparations consisting of Makhar condition (wet seeding) + conventional tillage (plough + disk + leveler), makhar condition + reduced tillage (disk) and without makhar + reduced tillage were performed in horizontal plots. Two methods of fertilizing (Broadcast and Drill) as main factors and weed controlling methods (once using of field cultivator in four-leaf stage (20 cm height of plants), two times using rolling cultivator in four and seven-leaf stage (20, 40 cm height of plant), using two liters Nicosolforon herbicides when the plant produced 3 - 4 leaves, and checking treatments (weed free and weed infect) as the sub-factors were conducted in vertical plots. The results indicated that population and biomass dry weight of weeds were significantly (p< %5) affected by Makhar. Planting in without makhar soil, caused reduction in the population and weed weight (30% and 40%) in the 5th week. In all tillage methods, the effect of two times using rolling cultivator and chemical control on grain yield and biological yield was statistically similar. In fertilizer drill method, grain yield and biological yields, kernel in rows and rows in ear were significantly (P<%1) higher than broadcast method. The most grain and biological yield were obtained in combination of makhar condition and fertilizer drill (in treatment of makhar condition + reduced tillage, grain yield was 9003.25 kg/ha.). Two times using rolling cultivator reduced the population and weight of weeds significantly more than chemical control in farm with plenty of Bind weed. In all of the Broadcast fertilizer methods, chemical control treatment had more yield (16%), but in fertilizer drill method there was no significant difference between chemical and two times using of rolling cultivator treatments. It seems that in corn farms when broadcasting fertilizer method is used, the chemical control of weed due to higher yield (15%) is more effective; two cultivator weed control method is recommended if the distribution of fertilizer is used with drilling method. The highest grain yield (9183 kg/ha) was obtained from the combination of makhar, reduced tillage, fertilizer drilling method and two times using rolling cultivator.