فهرست مطالب hassan ghasemi-mobtaker

The purpose of this study was to investigate changes in energy consumption and environmental indicators in the production of crops, including sugarcane, wheat, canola and sunflower during the years 2018 to 2022. Relevant information was collected through statistics recorded in planning management of Imam Khomeini Sugarcane Agro-Industrial Company in Khuzestan province. Using these statistics and sources, the production situation of agriculture and industry products was investigated. Based on the obtained results, in sugarcane fields, energy consumption in the years 2018 to 2022 was calculated as 131.05, 142.47, 152.16, 155.45 and 161.71 GJ ha-1 respectively. Also, energy consumption was equal to 30.49, 32.70, 35.10, 36.52, and 38.02 GJ ha-1 in wheat fields in the considered period. On the other hand, for the production of canola in the years 2018 to 2022, it varied and was equal to 19.44, 20.81, 22.68, 23.83 and 24.86 GJ ha-1 respectively. Also, in sunflower fields in the same period of time, it was estimated as 44.19, 82.14, 61.15, 20.16 and 76.16 GJ ha-1 respectively. The results of environmental effects showed that the highest amount of pollution caused by the effect of resources in sugarcane production is in the mentioned years of 12.08, 12.64, 12.91, 12.40 and 12.47 USD2013. Also, in wheat production this index increased from 61.96 to 68.23, in canola production increased from 79.86 to 85.51, and finally, in sunflower production increased from 61.82 to 65.73. Based on the ranking of the by-products, sunflower, wheat and canola are prioritized for cultivation from the first to the third place respectively. Optimal use of electricity inputs, diesel fuel and chemical fertilizers can help reduce energy consumption and environmental pollution. In order to reduce energy consumption in the production of agricultural and industrial products, it is recommended to use renewable energy sources such as electricity produced from solar sources by photovoltaic systems.

In conditions where don't have enough water for irrigation, intercropping of forage plants is one of the ways to achieve sustainable agriculture. Biochemical and physical properties of soil tillage system can affect the yield of plants in intercropping. Therefore, with the aim of investigating the forage yield and competitive indices of intercropping, this experiment was performed in the cropping seasons of 2020-2021. Treatments included conventional, minimum, and no tillage system. Intercropping patterns also included monoculture of forage sorghum and maize, alternate row cultivation maize and forage sorghum and alternate cultivation on planting rows. The results showed that the highest plant height (295 cm) and leaf area (6.88) was obtained in intercropping and conventional tillage. The highest forage yield was also observed in sorghum monoculture. However, the land equivalent ratio of mix intercropping with 1.17 showed the superiority of intercropping over monoculture. Evaluation of competitive indicators such as dominance index, relative crowding coefficient, and competitive ratio showed that forage maize is the predominant plant in intercropping conditions. The system productivity index with 8.11 showed that intermediate cultivation on planting rows was superior to other treatments in conventional tillage conditions. The results showed that in conventional tillage and intercropping conditions, acceptable yield was obtained; this advantage can increase water efficiency and use of sorghum in intercropping.

Mechanization is one of the transition ways from traditional agriculture to sustainable agriculture. Facing with limited resources in production and inputs on the one hand and increasing rate of population growth on the other hand demonstrate position and the importance of mechanization in the development of food security in the country more than ever. because seed, fertilizer, poison, and even soil and water inputs can be managed with its help, and sustainable production can also be achieved. multi-criteria decision making techniques were discussed to rank these parameters. The parameters were ranked by three common methods including simple additive weighting (SAW), TOPSIS and ELECTER. The results of the ranking were different in the three methods, which were integrated with the triple integration, and a uniform ranking was obtained for the parameters. After the triple merger, small and scattered agriculture holdings, worn out of agriculture machinery and the lack of a coherent and codified operational plan were in the first rank. Subsequently, lack of technical skills of the farmer, variability of raw material prices, lack of on-site repair, employment and unemployment problems, lack of best mechanization, lack of control and production of agricultural inputs, poor quality agricultural machinery produced internally and Lack of communication between agricultural machinery users and owners of these industries ranks second to ninth. Finally, according to the concordance of the results of TOPSIS method and the results of triple integration, TOPSIS method was approved as a suitable method for ranking.

In recent years, due to the limitation of water resources, the use of pressured irrigation methods has received much attention. Although the use of pressurized irrigation systems increases the water productivity, these systems have received less attention in terms of energy use and environmental aspects. So, the aim of this study was to evaluate the energy and environmental indicators of almond orchards under surface and pressured irrigation methods in Shahr-e Kord and Saman region of Chaharmahal and Bakhtiari province. The required data, including information about inputs and energy consumed in almond orchards, were collected using questionnaires and face-to-face interviews. No significant difference was observed regarding the performance of almond production in the two mentioned irrigation systems. Examining the results of water consumption in two systems showed that the pressured irrigation system consumes about 82% less water than the surface irrigation system, while the energy consumption in this system was about 12% more than the surface irrigation system. Energy ratio of almond production in surface irrigation systems was computed as 2.40, while the corresponding value in pressured system was 2.07. In other words, surface irrigation had better conditions in terms of energy indicators. The investigation of the environmental indicators of two irrigation systems showed that the use of the pressured irrigation system reduces the environmental damage

Since the beginning of the 21st century, about 80% of the world's energy is supplied by fossil fuels. The problems caused by the environmental pollutants resulting from the consumption of fossil fuels and the reduction of fossil fuel reserves have drawn a lot of attention to renewable energy sources and other low-carbon and cheap energy sources for electricity generation. For this reason, in this article, Shiraz biogas power plant has been investigated. In this study, in order to investigate the economic and environmental aspects of the Shiraz waste incinerator biogas plant, reverse-forward logistics was used by GAMS software, where the products from the lower levels of the supply chain are returned to the higher levels and due to cost reduction Increasing profits, increasing customer satisfaction and complying with environmental laws are very important. The results showed that the theoretical methane produced from the digestion process is 27.35% and the high and low calorific value of biogas is 22.32 and 20.11 megajoules per cubic meter, respectively. For 18 generators with an input mass flow rate of each generator of 888.57 kg per day and a residence time of 9.57 days, the biogas produced will be 3949.326 cubic meters per day, the power obtained assuming high power and low calorific value of the fuel in The power plant will be 357/09 and 321/809 kW. The results of the examination of the economic and environmental function showed that as the amount of the economic objective function increases, the profit of the chain increases,

As one of the most important food producers, the agricultural industry consumes a lot of energy to produce various products. Also, agriculture is the largest supplier of energy in the form of biological energy. This study was conducted in Khuzestan province with the aim of investigating the energy indicators of okra and the contribution of different inputs to the total energy in monoculture, intercropping (okra+cucumber) and agroforestry (okra+date palm) systems. The simple random sampling method was used to determine the survey volume and calculated sample size in this study was found to be 139. The data used in the study were collected from okra farms using a face-to-face questionnaire. The inputs and outputs were calculated per hectare and then, these input and output data were multiplied by the coefficient of energy equivalent. Following the calculation of energy input and output values, the energy ratio, energy productivity and net energy were determined. The results indicated that averages of energy inputs in monoculture, intercropping and agroforestry systems of okra were 78763.77, 81269.27 and 52502.42 respectively, while the energy output in these systems was 17575, 37380 and 113715 MJ ha-1, respectively. The energy ratio in monoculture, intercropping and agroforestry systems were calculated as 0.223, 0.460 and 2.166 respectively. The energy productivity in intercropping system was calculated as 0.470 kg MJ-1, which was about 302% and 64% more than monoculture and agroforestry, respectively. This issue is due to the higher yield of this cultivation system compared to other investigated systems.

Intercropping is one of the ways to achieve sustainability in agriculture. However, studying its economic and competitive indicators is critical to optimizing production. Therefore, this study was conducted to investigate the status and amount of consumption inputs in monoculture and intercropping systems in Khuzestan province. The required information was collected through a questionnaire and a field survey of 111 farmers. The results showed that intercropping with a land equivalent ratio of 1.40, gross and net production value of 7269.23 and 4090.19 dollars per hectare, and superiority in benefit-cost ratio, system productivity, and economic efficiency has a higher yield than okra monoculture. Also, the total cost of intercropping with 3179.04 dollars per hectare and input energy with 81269.27 megajoule per hectare were 23.20 and 3.18 % higher than monoculture, respectively. According to the results of this study, intercropping of okra and cucumber with superiority in economic and competitive indicators can be the optimal cultivation pattern of okra in Khuzestan province. However, it is necessary to optimize the intercropping input to reduce the total cost and input energy.

Today, the increase in food demand has led to an increase in energy use, which has some environmental consequences such as air pollution and global warming. Irrigation is one of the energy-intensive operations in agriculture, which consumes great part of energy inputs and has harmful environmental effects. Applications of modern methods of irrigation in agriculture can be considered from different aspects. So, the aim of this study was to evaluate the energy and environmental indicators of walnut orchards under surface and pressured irrigation methods. The required data, including information about inputs and energy consumed in walnut orchards, were collected using questionnaires and face-to-face interviews in Shahr-e Kord and Saman region of Chaharmahal and Bakhtiari province. The collected data belonged to the production period of 2021–2022. The averages of total energy consumed for walnuts production in pressured and surface irrigation systems were 29573.53 and 25058.46 MJ ha−1, respectively. This shows that despite less water consumption in the pressured irrigation system, the total energy input in this irrigation system is more than the surface irrigation system. No significant difference was observed regarding the performance of walnut in the two mentioned irrigation systems. The inputs energy consumption in the walnut production with the pressurized irrigation system were highest for plastic and farmyard manure (about 32% and 15%, respectively); while in surface irrigation system, the share of nitrogen fertilizer and farmyard manure were highest (about 30% and 25%, respectively). Energy ratio of walnut production in surface irrigation systems was computed as 3.58, while the corresponding value in pressured system was 2.77. In other words, surface irrigation had better conditions in terms of energy indicators. The LCA results of walnut production showed that in the two irrigation systems, the greatest effects in human health and the ecosystems are from on-farm emissions. In general, the investigation of the environmental indicators of walnut production in the two irrigation systems showed that the use of the pressured irrigation system reduces the environmental damage.

The aim of this study was to investigate the amount of sugarcane losses during harvesting at the Imam Khomeini Sugarcane Agro-Industrial Company located in the Shoaibiyeh region.  Analytical hierarchy process was used to prioritize the factors affecting the level of losses. The statistical results obtained from measuring the losses showed a direct relationship between the age of the farm and the amount of sugarcane losses during harvesting. This relationship was examined with an accuracy of one percent. Additionally, using the recorded information, four effective criteria along with 23 sub-criteria were considered. Questionnaires based on pairwise comparisons were prepared and completed by agriculture and industry officials to determine the weights of the criteria and sub-criteria. Based on the obtained weights of the criteria, the lack of skilled and expert human resources (operator skills) (0.426), improper farm management (0.368), improper crop harvesting management (0.229), and the lack of adjustment of harvesting machines and improper technical management (0.076) were ranked in order. Improper control and management of the sugarcane transportation basket (0.194), insufficient training for operators (0.176), and the lack of placement of the product (plant deployment) on the cultivation surface (0.148) were the three most important sub-criteria based on their highest weights. After calculating the amount of sugarcane losses, the revenue obtained from the losses was estimated. This was calculated for all the farms studied in this research, and the economic results showed that the average income obtained from sugarcane losses was equivalent to 123.70 $ ha-1.

The purpose of this study is to introduce the most important challenges in advancing agricultural development in Guilan province. For this purpose, hierarchical analysis process was used to identify and rank the challenges of the agricultural sector of Guilan province. In this regard, six effective criteria along with 21 sub-criteria were considered. To determine the weight of criteria and sub-criteria, questionnaires based on pairwise comparisons were prepared and experts from Ministry of Agriculture Jihad of Guilan province were questioned to complete the questionnaires and the Expert Choice software was used to perform the calculations. According to the results, criteria of managerial challenges (0.368), fragmentation of land (0.229), lack of conversion and complementary industries and specialized and skilled human labor (0.155), resource limitation and land use change (0.126), low level of mechanization in the agricultural sector (0.076) and single crop cultivation and uncontrolled import of agricultural products (0.047) were ranked, respectively. Also inadequate use of inadequate resources and investments (0.157), failure to use supportive and credit policies (0.121) and non-payment of subsidies as a percentage of premiums to all insurers equally and irresponsible view of government and insurers on agricultural insurance (0.085), are three important sub-criteria with respect to the maximum weight obtained.

The orientation of greenhouses is one of the effective factors in terms of radiation they receive. In the present study, a multi-span greenhouse (40 m × 93.5 m with a coverage area of 5457.44 m2) located in the central region of Iran was investigated in three orientations including: North-South (N-S), East-West (E-W), and Northeast-Southwest (NE-SW: the most frequent orientation of the existing greenhouses in the study area). The solar irradiation received on the outside surface of the greenhouse cover and the amount of irradiation captured inside the greenhouse for each orientation during the cold season were calculated using mathematical modeling and the results were compared. According to the results, in the E-W orientation, the main sections of receiving solar irradiation, such as the south and north roofs, have a better angle toward the sun; therefore, the quantity of solar irradiation captured inside the greenhouse with the E-W orientation was on average 361.48 MJ day-1 more than that with the N-S orientation. The north wall of the greenhouse could not receive the beam radiation for all the orientations investigated, and the total irradiation captured by this section was composed of the diffused radiation and the ground-reflected radiation, which is an important result for insulation of some surfaces of greenhouses.

Energy ratio and technical efficiency are the ways to explain the efficiency of farmers in crops production. The objective of this study was the application of non-parametric method of Data Envelopment Analysis (DEA) to analyze the efficiency of orchards, discriminate efficient farmers from inefficient ones and to identify wasteful uses of energy for grape production in Hamadan province, Iran. For this purpose, data were collected from 48 farmers by using a face to face questionnaire. The results revealed that the average value of technical, pure technical and scale efficiency scores of orchards were about 0.74, 0.86 and 0.84, respectively. The contribution of saving energy for chemical fertilizers was the highest and followed by diesel fuel & electricity with shares of 61.7 and 28.7 percent, respectively. The total energy savings calculated to be 14.3 percent of total input energy. Optimization of energy use improved the energy use efficiency, energy productivity and net energy by 16.8, 13.3 and 19.6 percent, respectively.

Surveying of energy consumption, greenhouse gas emissions and their modeling using artificial intelligence methods in peanut production of Astaneh-Ashrafiyeh county of Guilan province were investigated in this research. The data used in the study were collected using a face-to-face questionnaire in 2019 production period. Results showed the total inputs energy and output energy were 19248 and 87210 MJ ha-1 with energy use efficiency as 4.53, respectively and the highest consumption of inputs was belonged to chemical fertilizers with 45%. Also, in production process, about 571 kgCO2eq. ha-1 was emitted that fuel with 57% had the highest share of emissions. The modeling results showed that in comparison with the results of artificial neural network, the performance of the ANFIS model is better in predicting the output energy and greenhouse gas emissions of peanut production.

In order to evaluate the selection of the best method for rice cultivation from among different methods including: manual weeding, chemical control and mechanical weeding, questionnaires were distributed among farmers and experts of Sowme'eh Sara city in Guilan province. A quantitative and qualitative integration approach was used to analyze the data, and the characteristics were weighed using the entropy method. The comfort of the labor, the amount of environmental pollution, the number of labors needed and the cost have the highest weights, which indicates the importance of these cases for farmers and experts. Multi-indicator methods have a variety of methods at different stages of decision making. In these methods, several options are compared based on several different criteria, and finally the best option or sequence of appropriate options is selected. Using the TOPSIS method, ranking was performed between different weeding methods. The results showed that the highest degree of impact is related to the mechanical weeder with 0.7221, followed by chemical control and manual weeding with importance degree of 0.5019 and 0.3730, respectively. Efforts and support from officials in management, providing skills training, proper culture, and budget allocation for farmers are effective and effective solutions.

In order to investigate the mechanization development status, in this study, four wheat, barley, rice and forage maize crops in Ahvaz city were evaluated with two quantitative (degree and capacity of mechanization) and qualitative (income and labor desirability) indices. The data were collected through questionnaires and interviews, also statistics and recorded information. Four parameters were calculated and estimated in four products and finally the results were summarized and presented using fuzzy logic. The results showed that the average degree of mechanization of different operations (total mechanization degree) for wheat, barley, rice and forage maize products in the study area was 93, 92.5, 73.5 and 95%, respectively. The mechanization capacity in this order was 988/22, 944/72, 806/6 and 1136/936 hp.h/ha, the results were calculated as 62, 43, 57 and 54% for income desirability and 73, 69, 59 and 47% for labor desirability, respectively. The final de-fuzzy output obtained from the summation of four indicators using fuzzy logic showed that among the studied crops, wheat with 52.3% had the highest amount, followed by rice with 46.6%, barley with 42.2% and forage maize with 40.3% had the lowest amount.  In general, according to the results of the index defined for the study of mechanization development, the study area is almost in a moderate position in the four products under study.

Efficient use of energy inputs in crop production is an important goal in sustainable agriculture. The purpose of this study was to investigate energy consumption in two irrigation systems (flood and sprinkler irrigation system) for agricultural production including wheat, barley and alfalfa. Required information including total inputs, machinery and human labor, were collected from a 100 hectare farm placed in central region of Hamadan province. The data belonged to the 2017-218 production period. The results revealed that the energy ratio in the sprinkler irrigation system was higher than flood irrigation system for all crops. The results also showed that use of sprinkler irrigation system led to decrease water consumption in all investigated crops. The inputs investigation indicated that electricity input (about 60%) in flood irrigation system and diesel fuel and electricity inputs (about 40 & 33%) in sprinkler irrigation system have the highest energy consumption. The energy forms results showed that crops production depends mainly on non-renewable energy resources (electricity, diesel fuel and chemical fertilizers) in the studied field. According to the results, it was found that although the use of sprinkler irrigation systems increases water productivity, it also increases energy consumption in crop production.

In this research, modeling of energy consumption and environmental emissions for different process of tea production in Gilan province (Iran) were investigated using regression and artificial neural networks. Data related to agricultural and industrial activities of tea production chain were collected through questionnaire survey from tea farms of different counties in Guilan province. Also, the datatbank of agricultural organization, tea research institute and tea factories were collected. The results showed that the total energy input and output for green tea leaf production were 34343.51 and 10996.45 MJ/ha, respectively. Also, the total energy input for dry tea was obtained 64885.23 MJ/ton. The results of the life cycle assessment in tea farms revealed that the highest effect belonged to nitrogen in abiotic depletion, dcidification, eutrophication and global warming potential impacts. The survey of life cycle assessment in the tea processing factories illustrated that diesel fuel had the highest share in abiotic depletion, ozone layer depletion, human toxicity, fresh water aquatic ecotoxicity and photochemical oxidation impact categories. In acidification, eutrophication, global warming potential impacts, green leaf input had the highest share. Moreover, the highest share of marine aquatic ecotoxicity and terrestrial ecotoxicity was belonged to coated paper. The results of energy and environmental emissions modeling for green tea leaf production showed that artificial neural networks can predict the outputs and inputs with more accuracy than regression technique.

In order to investigation on effect of different tillage methods on Wheat yield and soil physical and chemical properties in wheat - fallow rotation, This experiment is conducting by Randomized Completed Block Design with 4 replications and 5 treatments in Station of Ghamloo (Kurdistan) in 2 phases for 3 years since 2004. The tillage treatments were: Chisel plow in fall 댇 in spring (A1); Non moldboard plow sweep in spring (A2); No tillage in fall Herbicide in spring (A3); No tillage in fall sweep in spring (A4); Check (Moldboard plow in spring) (A5). In all of treatments, variety of Azar 2 with grain drill was planted equally. The results of combined variance analysis revealed that the wheat yield and components in different years were different in order to difference in rate and distribution of precipitation and cold rate of weather in different years. The product yield in the first year (1963 kg ha-1) was the highest. Effect of tillage treatments on wheat quantity and quality and also yield components was significant, So that, the highest amounts of almost measured factors, obtained from treatment (A3).

The objectives of this research were to investigate influences of energy inputs and energy forms on output levels and evaluation of CO2 emissions for hazelnut production in Guilan province of Iran. Moreover, the sensitivity analysis was done by marginal physical productivity (MPP) method for energy inputs and energy using linear regression. Initial data were collected from 120 orchardists in September and October 2012. The total energy of 2862.62 MJ ha-1 was calculated for gardening in one year. The results of energy forms analysis revealed the share of non-renewable and indirect energy was more than renewable and direct energy, significantly. The ratio of energy output to energy input was approximately 3.93. Total CO2 emissions of hazelnut production was calculated as 77.66 kgCO2eq. ha-1. Also, the diesel fuel had the highest share of emissions among all inputs with 33.84%. Econometric model estimation indicated that the impact of human labor, machinery, diesel fuel and pesticides energy inputs were significantly positive on hazelnut yield. The sensitivity analysis was presented that the marginal physical productivity (MPP) value of pesticides, farmyard manure and diesel fuel energy were the highest with 9.43 and -4.86 and 0.97, respectively. In energy forms econometric models, impact of direct, indirect and renewable energies were significantly. Furthermore, direct and renewable energies was the most sensitive groups in energy forms with MPP value of 0.98 and 1.19, respectively