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Strategies for optimization of energy use in field operations of agricultural productions
Seyed Hashem Mousavi1*, Majid Khanali2
1Researcher of Center of Advanced Research and Development of Elite Affairs, ETKA, Tehran, IR Iran; [email protected]
2Assisstant Professor of Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran; [email protected]
*Corresponding author: Seyed Hashem Mousavi
Abstract
Energy use is one of the key indicators for developing more sustainable agricultural
practices. Mechanization development strategies require both the quantitative and
qualitative assessments of the mechanization indices and their impacts on agricultural
production (yield) and economic factors. The main objectives of this study were assessing
the mechanization status and introducing strategies for optimization of energy consumption
in field operations of crop productions in Varamin agricultural complex, Tehran, Iran, where
there is an intensive agricultural crops production in the country. The results from this study
indicates that the majority of operational energy used for crop production was derived from
mechanical power. Energy management should be considered as an important issue in
terms of sustainable, efficient and economic use of energy. Modification of operations,
where possible, to make the best use of energy price structures, increasing the use of
energy from renewable sources through application of composts, chopped residues or other
soil amendments and also employing the conservation tillage methods would be useful not
only for providing higher energy use efficiency and decreasing production costs, but also for
reducing negative effects to the environment.
Keywords: Agricultural machinery, Energy, Mechanization, Productivity, Varamin agriculture
complex
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Introduction
Energy has a key role in economic and social development but there is a general lack of rural
energy development policies that focus on agriculture. Agriculture has a dual role as user
and supplier of energy (FAO, 2000). Energy use is one of the key indicators for developing
more sustainable agricultural practices. Wider use of renewable energy sources, increase in
energy supply and efficiency of use can make a valuable contribution to meeting sustainable
energy development targets (Streimikiene et al., 2007).
In agriculture, a wide range of modern and traditional energy forms are used directly on the
farm, e.g. as tractor or machinery fuel, and in water pumping, irrigation and crop drying, and
indirectly for fertilizers and pesticides. Other energy inputs are required for post harvest
processing in food production, packaging, storage, transport and cooking (FAO, 2000).
Energy consumption in agriculture has developed in response to rising population in around
the world, limited supply of arable land, and desire for higher standards of living (Kennedy,
2000).
Effective use of energy in agriculture is an important parameter in the evaluation of the
environmental impact of production systems (Liu et al., 2010). It is important, therefore, to
analyze cropping systems in energy terms and to evaluate alternative solutions.
Agricultural mechanization implies is the application of various power sources and improved
farm tools and equipment to agriculture, largely as a means to enhance the productivity of
human labor and often to enhance the cropping intensity, precision and timelines of
efficiency of utilization of various crop inputs and reduce the losses at different stages of
crop production. This includes the use of tractors of various types as well as animal-powered
and human-powered implements and tools, and internal combustion engines, electric
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motors, solar power and other methods of energy conversion. Mechanization also includes
irrigation systems, food processing and related technologies and equipment.
Mechanization technology is, therefore, location-specific and dynamic. It require to be
appropriate, that is, compatible with local, agronomic, socio-economic, environmental and
industrial conditions. The quality of inputs of mechanization, and consequently land and
labor productivity in both situations, may differ considerably (Singh and Chandra, 2002). The
issue of agricultural mechanization and labor displacement is of great importance in densely
populated developing countries with high unemployment (Farman and Parikh, 1992).
Several authors had investigated the mechanization indicators with reference to the
intensity of power availability, and its impact on agricultural production and productivity of
inputs were analyzed. Giles (1975) investigated power availability in different countries, and
demonstrated that productivity was positively correlated with potential unit farm power.
Binswanger (1982) defined the status of mechanization by the growth of mechanically
power-operated farm equipment over traditional human and animal power operated
equipment. Singh (2006) for investigating the impact of mechanization on crop production
and economic indicators in India, suggested a mechanization index based on the ratio of the
cost of use of machinery to the total animate and machinery cost. Also, in this study the
major factors that required higher capital investment such as fertilizer, irrigation and farm
power inputs were selected and their impacts on yield through multiple linear regressions
were assessed.
Many researchers have studied energy and economic analysis to determine the energy
efficiency of plant production such as sugarcane in Morocco (Mrini et al., 2001), rice in
Malaysia (Bockari-Gevao et al., 2005), pear production in China (Liu et al., 2010), onion
production in Pennsylvania (Moore, 2010), sunflower production in Greece (Kallivroussis et
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al., 2002), winter oilseed rape in Germany (Rathke and Diepenbrock, 2006) and barley
production in Iran (Mobtaker et al., 2010). Moreover, comparing the high and low levels of
farming technologies in energy and economically points of view, Zangeneh et al. (2010)
reported that potato production in high level of technology had the higher energy use
efficiency and economical productivity.
Also, Nandal and Rai (1987) conducted a study by dividing Haryana in three homogenous
zones on the basis of intensity of mechanization. In all, 54 farms were selected from each of
the three zones making a total sample of 162 farming households. The impact of
mechanization on crop yield was studied on three different categories of farms. It was
apparent from the study that the tractor-operated farms had higher yield of wheat and
paddy. In case of farms using tractors on custom - hire basis, the yield was comparatively
low. The study revealed that tractor-owing farms invariably used higher level of agricultural
inputs and had better control on timeliness of operations.
Based on the literature there was no study on strategies for optimization of energy
consumption in field operations of crop productions. Therefore, the main objectives of this
study are assessing the mechanization status and introducing strategies for optimization of
energy consumption in field operations of crop productions in Varamin agricultural complex,
Tehran, Iran, where there is an intensive agricultural crops production in the country.
Materials and methods
Data collection and processing
The study was carried out in Varamin agricultural complex, Tehran, Iran, which is an
important producer of wheat, barley, alfalfa, canola, forage maize, medicinal plants, pea,
etc. in the country. Data were collected by using a face to face questionnaire method from
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farm managers in the region. The primary data set was consisted of 100 explanatory
parameters for each farm covering all characteristics on farming inputs and outputs in the
region.
Analysis of mechanization indices
The mechanization status may be assessed based on the general concept of mechanization.
The Mechanization Capacity (MC) index may be investigated by the ratio of total mechanical
energy used per hectare of crop production, using the following equation:
(1) MC =
∑i=1
n
Pi×η
Cai
where MC is the mechanization capacity (kWh ha-1) for every farm, Pi denotes the rated
power of tractors or combine harvesters (kW) in ith operation i, η is the correction factor for
utilized power (0.75) and Cai presents the field capacity for the operation i (ha h-1). So the
average mechanization capacity for crop production in the region may be estimated by the
average mechanization capacity of farms under consideration.
In order to specify the mechanization status, a mechanization indicator based on the ratio of
mechanical energy used by tractors and combine harvesters per hectare of crop production
over total farm operational energy including human labor and mechanical energy inputs can
be introduced as a measure of qualitative assessment of modernization of agriculture.
(2)MI = ME
ME+HLE
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where MI is the mechanization index in decimal, ME represents the total mechanical energy
used per unit area of soybean production (kWh ha-1) and HLE denotes the human labor
energy (kWh ha-1). Energy consumed by human labor input was calculated by multiplying
the total employed time of labor per unit area (h ha-1) by its energy conversion factor. The
energy conversion factor was found to be 1.96 MJ h-1; so the human labor energy was
calculated in MJ ha-1, and it is transformed into kWh ha-1, using 1 kWh=3.6 MJ equation.
Moreover, the contribution of operational costs from total cost of production can be
calculated.
Results and discussions
Table 1 presents the agricultural crops produced in the case study region and land area of
crops. The results revealed that the wheat is the main crop produced in this agricultural
complex by 160 ha land area and 24.4% from total land area of the farm. The other main
crops are barley, alfalfa and forage maize by 140 ha, 140 ha and 133 ha land area,
respectively. Land area of canola was 52 ha. Also, medicinal plants and pea were produced
at 20 ha and 10 ha land area, respectively. Total land area of this agricultural complex was
calculated as 655 ha. From these results it is concluded that, cereals are the main crops
produced in the farms; so, for optimization of energy consumption, and also, production
costs, focuses on the field operations of these crops is essential.
Table 1. Area of cultivation of different crops in Varamin agricultural complex, Tehran,
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Iran
Item Area of cultivation (ha) Percentage (%)
wheat 160 24.4
barley 140 21.4
alfalfa 140 21.4
canola 52 7.9
forage maize 133 20.3
medicinal plants 20 3.1
pea 10 1.5
Total 655 100.0
Important field operations for these crops are tillage, sowing, irrigation, application,
harvesting, transportation and processing for medicinal plants. Therefore, application,
harvesting, transportation and tillage are the main energy consuming operations for
production of these crops.
Table 2. Mechanization capacity in different operation for soybean production
ItemMechanization capacity
(kWh ha-1)Percentage (%)
Tillage 168.19 20.22
Sowing 52.64 6.33
Irrigation 22.37 2.69
Application 230.32 27.69
Harvesting 169.10 20.33
Transportation 189.15 22.74
Total 831.77 100.00
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In another study by Mousavi-Avval et al. (2010), these operations were the main energy
consuming operations for soybean production in Golestan province of Iran. They reported
that, mechanization capacity was found to be 831.77 kWh ha-1 for the useful mechanical
power of tractors and combine harvesters, used in the employment time for one hectare of
crop production in the region. The operations of tillage, sowing and irrigation used
mechanical energy as 168.19, 52.64 and 22.37 kWh ha-1, respectively. Also they investigated
the percentage of mechanical energy used in different operations and It was reported that
the major energy consumer in the operations was fertilizer and chemical application,
contributed to the total mechanical energy by 27.69%. Also it followed by transportation
(22.74%), harvesting (20.33%) and tillage (20.22%), respectively. The shares of sowing and
irrigation operations from mechanization capacity were 6.33% and 2.69%, respectively. The
summarized results are tabulated in Table 2 (Mousavi-Avval et al., 2010).
For assessing the impact of farm mechanization, we refer to a previous study on soybean
production in Iran (Mousavi-Avval et al., 2010). The quantity of human labor energy and
contribution of mechanical energy to total operational energy, including human labor and
machinery energy inputs are tabulated in Table 3. The results revealed that human labor
energy was used as 105.86 (kWh ha-1); it mainly employed for irrigation (29.51 kWh ha-1) and
weeding (26.89 kWh ha-1) operations. The share of mechanical energy from total farm
operational energy input was found to be 88.71%; indicating that the majority of
operational energy used for soybean production was derived from mechanical power. On
the other hand, the contribution of mechanical energy consumption from total operational
energy in sowing, transportation and tillage operations were found to be 98.73%, 96.95%
and 95.32%, respectively; indicating that these operations were accomplished mainly by
mechanical power. However, mechanical energy usage for irrigation and weeding
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operations was relatively low; this indicates that these operations must be mechanized. By
assessing the farms and field operations from this study and the previous study, it is evident
that, the farm operational energy of these farms is similar to those of previous study. So
that, for these farms there is no mechanical equipment for weeding and in sowing
operations more labor power is required. So, we can introduce strategies for optimization of
energy use in field operations of crop production in Varamin agricultural complex by
referring to the quantitative results of previous study by the same authors.
Table 3. Human labor energy and contribution of mechanical energy to total operational
energy in soybean production
Operation Labor energy
(kWh ha-1)
Share of mechanical energy to total operational
energy (%)
Tillage 8.26 95.32
Sowing 0.68 98.73
Irrigation 29.51 43.12
Application 17.36 92.99
Harvesting 17.21 90.76
Transportation 5.96 96.95
Weeding 26.89 0.00
Total 105.86 88.71
Asakereh et al. (2010) investigated the effect of mechanization level on energy use efficiency
of apple production. They reported that farms with higher level of mechanization consumed
higher machinery and diesel fuel energies. Also, net energy gain of apple production under
low level of farming technology was lower than that in high level of farming technology.
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To sum it up, applying a better management technique, employing the conservation tillage
methods are suggested to reduce the fossil fuel usage and to reduce the environmental
impacts.
Application of inputs by performance monitoring and utilization of alternative sources of
energy may be also the pathways to make energy usage more environmental friendly, and
thus to reduce their environmental footprints.
Improving timing, amount and reliability of water application and improving energy
conversion efficiency of water pumping systems may help to reduce water usage and
electrical energy. Integrating the legume crops in rotation with soybean, application of
composts, chopped residues or other soil amendments may increases soil organic matter
content and fertility and so reduces the need for chemical fertilizer energy input.
Moreover, employing the technological upgrade to substitute fossil fuels with renewable
energy sources are suggested for optimization of energy use in field operations of
agricultural productions in the region.
The high contribution of electrical energy was mainly due to high water application in
irrigation operation. The improper use of groundwater in agricultural practices may result in
land quality degradation such as soil erosion, salinization and reduction of organic matter.
The high water input in farms may exacerbate the problem of soil drainage and excessive
leaching of water to shallow groundwater aquifers which may impact groundwater table
and soil salinity dynamics (Khan et al., 2009).
Energy management should be considered as an important issue in terms of sustainable,
efficient and economic use of energy. Modification of operations, where possible, to make
the best use of energy price structures, increasing the use of energy from renewable
sources through application of composts, chopped residues or other soil amendments and
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also employing the conservation tillage methods would be useful not only for providing
higher energy use efficiency and decreasing production costs, but also for reducing negative
effects to the environment. The extension activities for the farmers in the region are needed
to improve the efficiency of energy consumption in crop production in the region.
Conclusions
Energy has a key role in economic and social development but there is a general lack of rural
energy development policies that focus on agriculture. Agriculture has a dual role as user
and supplier of energy. The main objectives of this study were assessing the mechanization
indices and introducing strategies for optimization of energy consumption in field
operations of crop productions in Varamin agricultural complex, Tehran, Iran. Also the share
of mechanical energy from total farm operational energy including human labor and
machinery energy inputs was discussed. The results from this study indicates that the
majority of operational energy used for crop production was derived from mechanical
power. Fertilizer and chemical application, harvesting, transportation and tillage are the
main energy consuming operations for production of these crops, indicating that these
operations were accomplished mainly by mechanical power. However, mechanical energy
usage for irrigation and weeding operations was relatively low.
Totally, it is concluded that, applying a better management technique, employing the
conservation tillage methods, increasing the use of energy from renewable sources through
application of composts, chopped residues or other soil amendments are important for
reducing the fossil fuel usage and environmental impacts of crop production in the region.
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Moreover, the extension activities for the farmers in the region are needed to improve the
efficiency of energy consumption in crop production in the region.
References
1. Asakereh A, Shiekhdavoodi MJ, Almassi M, Sami M (2010). Effects of mechanization on energy
requirements for apple production in Esfahan province, Iran. African Journal of Agricultural Research
5: 1424-1429.
2. Binswanger, H.P. 1982. “Agricultural mechanisation: a comparative historic perspective”. World
Bank Report ARU-1, Washington.
3. Bockari-Gevao, S.M., Wan Ishak, W.I., Azmi, Y., Chan, C.W., 2005. Analysis of energy
consumption in lowland rice-based cropping system of Malaysia. Songklanakarin J. Sci. Technol. 27,
819-826.
4. FAO, 2000. The energy and agriculture nexus, environment and natural resources. Working
paper no; 4. ROME.
5. Farman, A. and Parikh, A. 1992. “Relationship among labor, bullock and tractor input in Pakistan
agriculture”. American Journal of Agricultural Economics. 41(371-377.).
6. Giles, G.W. 1975. “The reorientation of agricultural mechanization for the developing countries.
FAO Report on Effect of Farm Mechanization on Production and Employment”. Food and Agricultural
rganisation (FAO), Rome, Italy.
7. Kallivroussis, L., Natsis, A., Papadakis, G., 2002. The energy balance of sunflower production for
biodiesel in Greece. Biosystems Engineering 81, 347-354.
8. Kennedy, S., 2000. Energy use in American agriculture. Sustainable energy term paper.
9. Khan S, Khan MA, Hanjra MA, Mu J (2009). Pathways to reduce the environmental footprints of
water and energy inputs in food production. Food Policy 34: 141-149.
10. Liu, Y., Høgh-Jensen, H., Egelyng, H., Langer, V., 2010. Energy efficiency of organic pear
12
production in greenhouses in China. Renewable Agriculture and Food Systems 25, 196-203
11. Mobtaker, H.G., Keyhani, A., Mohammadi, A., Rafiee, S., Akram, A., 2010. Sensitivity analysis of
energy inputs for barley production in Hamedan Province of Iran. Agriculture, Ecosystems &
Environment 137, 367-372.
12. Moore, S.R., 2010. Energy efficiency in small-scale biointensive organic onion production in
Pennsylvania, USA. Renewable Agriculture and Food Systems 25, 181-188.
13. Mousavi Avval, S.H., Rafiee, S., Jafari, A., Mohammadi, A., 2010. “Estimating the Mechanization
Indices and Analysis of Their Effects on Soybean Production in Iran”. In Proceedings of International
Agricultural Engineering Conference 2010. Sept. 16-20, Shanghai, China, 383-388.
14. Mrini, M., Senhaji, F., Pimentel, D., 2001. energy analysis of sugarcane production in Morocco.
Environment, Development and Sustainability 3, 109–126.
15. Nandal, D.S. and Rai, K.N., 1987. Impact of Farm Mechanization on Farm Productivity and
Income in Haryana.
16. Rathke, G.W., Diepenbrock, W., 2006. Energy balance of winter oilseed rape (Brassica napus L.)
cropping as related to nitrogen supply and preceding crop European Journal of Agronomy 24. 35-44.
17. Singh, G. 2006. “Estimation of a Mechanisation Index and Its Impact on Production and
Economic Factors--a Case Study in India”. Biosystems Engineering. 93(1): p. 99-106.
18. Singh, G. and H. Chandra. 2002. Production and economic factors growth in Indian agriculture
Central Institute of Agricultural Engineering, Nabi Bagh, Berasia Road, Bhopal, India.
19. Streimikiene, D., Klevas, V., Bubeliene, J., 2007. Use of EU structural funds for sustainable
energy development in new EU member states. Renewable and Sustainable Energy Reviews 11,
1167-1187.
20. Zangeneh, M., Omid, M., Akram, A., 2010. A comparative study on energy use and cost analysis
of potato production under different farming technologies in Hamadan province of Iran. Energy 35,
2927-2933.
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