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Level of Mechanization

Mechanization in any area is characterized into three levels: low, fair, and high. Low mechanization level means that manual power used exceeded 33%. Fair means that animal power utilization ranges from 34% to 100%. High means that mechanical power utilization ranges from 67% to 100% (Rodulfo, et. al, 1998).

Table 1 shows the level of mechanization in rice and corn farming operations, expressed in three main sources of power, namely: manual, man-animal and mechanical. The data shows that human power dominates farm operations at an average of 56.53%. Mechanical operations are applied mainly in milling, threshing or shelling, land preparation, and planting. Animals continue to dominate land preparation. Sun drying is still preferred by farmers. In terms of available power expressed as horsepower per hectare (hp/ha), the level of mechanization stands at 1.68 hp/ha (Table 2). This is relatively low compared with other neighboring countries.  The reason for this is the abundance of manual labor, which dominates the use of human power in rice and corn cultivation activities. The high hp/ha of power tillers and threshers indicate that the use of mechanical power in land preparation and threshing is increasing. Irrigation, harvesting, and drying have low hp/ha level.

Compared with other Asian countries, the Philippines ranks 9th in terms of level of mechanization at 0.52 hp/ha in 1990 (Table 3). This again is very low compared with Japan at 7.00 hp/ha, Republic of Korea at 4.11 hp/ha, and People’s Republic of China at 3.88 hp/ha (RNAM, 1994)

In terms of rice production, RNAM report indicates that the Philippines ranks eighth and sixth of 11 countries in terms of mechanization level and production per hectare. Korea toped the list followed by China both based on total power source. China and Korea ranked first and second, respectively in terms of production per hectare (Table 4).

AMDP (1998) did a correlation analyses to determine the possible relationship between the two variables. The computed linear coefficient of 0.7645 shows a degree of relationship between the level of mechanization (independent variable) and the production per hectare (dependent variable). However, it does not explain how the level of mechanization affects the production per hectare since there are other factors that could affect production per unit hectare such as farm inputs application and farmer’s capability to increase inputs.

 

 

Table 1. Percentage of rice and corn farms vs. source of power.

Operation

Power Source

Manual

Man-Animal

Mechanical

Land preparation

3.15

64.71

23.17

Planting

98.67

1.15

0.16

Weeding

85.20

14.80

0

Fertilizer application

98.69

1.65

0

Spraying

100

0

0

Harvesting

98.79

0

0

Threshing/shelling

31.01

0

68.99

Drying (farm level)

100

0

0

Milling

0

0

100

Average

56.53

19.25

21.70

Source: Agricultural Mechanization Development Program (AMDP), 1997  

Table 2. Level of Mechanization in Rice and Corn.

Source of Power

  Hp/ ha
     1.    Human labor

0.24

     2.     Draft animal

0.08

     3.     Four-wheel tractor

0.24

     4.     Engines

            a. Power tiller

0.56

            b. Thresher

0.34

            c. Irrigation pump

0.07

            d. Harvesting, drying and shelling equipment)

0.15

                                                         Total

1.68

Source: Agricultural Mechanization Development Program (AMDP), 1997

Table 3. Level of mechanization among selected Asian countries, hp/ha.

Country

1968

1990

Japan

3.00

7.00

Republic of Korea

0.435

4.11

People’s Republic of china

Not available

3.88

Pakistan

0.410

1.02

India

0.302

1.00

Thailand

0.348

0.79

Iran

0.239

0.70

Sri Lanka

0.378

0.58

Philippines

0.198

0.52

Indonesia

0.173

0.41

Bangladesh

Not applicable

0.40

Nepal

0.733

0.30

Source: RNAM, 1994  

Table 4. Comparison of palay production and level of mechanization among Asian countries.

Country

Palay Production (tons/ha)

Average hp/ha

People’s Republic of China

5.36

3.88

Republic of Korea

4.70

4.11

Indonesia

4.04

0.41

Sri Lanka

3.42

0.58

Islamic Republic of Iran

2.81

0.70

Philippines

2.64

0.52

Pakistan

2.50

1.02

Nepal

2.26

0.30

Thailand

2.14

0.79

India

1.68

1.00

Bangladesh

1.49

0.40

Source: RNAM, 1990  

 


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