• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.76-92
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• 1996

In China, agricultural mechanization has played a remarkable, role in development of agricultural economy. This paper introduces briefly the contribution of agricultural mechanization to agricultural production , the level of mechanization , sciences and research , industry of farm machinery etc., at present. From macro view , aim at year 2000 , the prospects based on estimation concerned with the developing tendency , market demands, research fields are presented . The development of agricultural mechanization in China depends on many factors, in coming years, chance and challenge are coexistent. It wall take a long time for China to realize farm mechanization.

• Journal of Biosystems Engineering
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• v.36 no.2
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• pp.147-152
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• 2011

This study was conducted to collect basic data for establishing a revitalization plan for agricultural machinery departments in technical high schools. A status survey on satisfaction and career plan of students majoring in agricultural machinery in technical highschool was measured. The survey results showed that the selection motivation for technical high school was mainly due to the academic score obtained during middle school, and an academic major for agricultural machinery was mainly based on personal interest and aptitude. About 90% of the students answered as "normal" or "satisfied" to the questions asking satisfaction level for agricultural machinery major and education. For career plan, 68.5% of the students answered as "entrance into academic schools for higher level education" and 31.5% answered as "employment". Most preferred higher level education area was "engineering" (30.8%) and "agricultural machinery" was only 12.6%. Expecting employment area was also automobile or other industrial machinery rather than agricultural machinery.

• Journal of Biosystems Engineering
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• v.40 no.3
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• pp.178-185
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• 2015

Purpose: This research suggests a method of establishing criteria for working area and operating cost for a long-term lease of agricultural machinery. Methods: Eight crops were selected-three food crops and five open-field vegetables-and agricultural machines used for sowing, transplanting, and cultivation in dry-field farming were analyzed. Results: The break-even acreage for agricultural machinery under a long-term lease was found to differ by agricultural machine, ranging from 1.0 to 5.8 ha. In terms of arable land area, the break-even acreages for harvesting machinery and transplanters were 15.6 to 26.1 ha and 6.1 to 8.6 ha, respectively. The working area lessees should secure was divided into two cases: (1) 2.0 to 11.6 ha when leasing individual agricultural machines (sowing and transplanting) for a long-term period, and (2) more than 10 ha when farmers who cultivate beans, potatoes, garlic, onions, and so on lease sowing and transplanting machines as a set. When agricultural machinery was leased for a long term, the operating cost and working time were reduced by 27.6 to 74.4% and 2.5 to 21.6%, respectively, indicating considerable effect. Conclusions: A long-term lease project needs to be promoted to overcome the limitation of short-term leases of agricultural machinery. The local government should lead this project and facilitate the mechanization of dry-field farming. The department in charge of agricultural machinery lease projects needs to set the working area to cover the rate and maintenance cost for farmers who lease agricultural machinery for the long term.

• Agricultural and Biosystems Engineering
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• v.2 no.2
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• pp.69-74
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• 2001

Detection of operation lines in farm works, object recognition and obstacle avoidance are essential pre-requisite technologies for unmanned agricultural machinery. A CCD camera, which has been largely used for these functions, is expensive and has difficulty in real-time signal processing. In this study, a laser range sensor was selected as the guiding vision for unmanned agricultural machinery such as a tractor. To achieve this capability, algorithms for distance measurement, signal filtering, object recognition, and obstacle avoidance were developed. Computer simulations were carried out to evaluate performance of the algorithms. Experiments were also conducted with various materials and shapes, Laser beam lost its intensity for poor reflective materials, resulting in less range value than actual, so a compensation technique was considered to be necessary. Object detection system was fabricated on an agricultural tractor and the performance was evaluated. As test result for obstacle detection and avoidance in field, to detect and avoid obstacle for path finding with guiding system for unmanned agricultural machinery was enable.

• Agricultural and Biosystems Engineering
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• v.2 no.1
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• pp.24-30
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• 2001

No abstract. See Full-text

• Journal of Biosystems Engineering
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• v.26 no.6
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• pp.525-534
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• 2001

Garlic clove planting is one of the most laborious operations in Korean farming. The garlic planting has been done manually; therefore, it requires tremendous amounts of human labor resulting in the increase of production cost. This problem necessitated the development of a garlic clove metering device fur the planter. The device was fabricated to meter a single garlic clove with a scooping bucket(29mm in diameter and 8mm in depth) designed after the image of clove's bottom shape. The lift angle of the metering plate and the magnitude of vibration were also affected the metering performance. The angle clove metering rates ranged 95.4~96.7% with the missing rate of 0.0~1.3% at the 80~85 degrees of the tilt angle and vibration level 2(1.985 m/s$^2$).

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.49-65
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• 1993

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.551-555
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• 1993

With the development of modern agriculture, a new cultivating method with high efficiency, good quality and low energy consumption should be developed to satisfy agricultural requirements. After comparing various cultivating patterns and summerizing research results, the submerged up-cut rotary cultivation is predicted to have bright futures and still some problems need to be solved.

• Journal of Biosystems Engineering
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• v.39 no.4
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• pp.267-273
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• 2014

Purpose: This study was conducted to develop a web-based business management system to ensure the efficient operation and transparent management of government-subsidized agricultural machinery rental businesses. Methods: An MS_SQL2000 database management system (DBMS) solution was utilized in the system for high system compatibility and integrated management. This system was targeted to be compatible with Internet Explorer 6.0 or later and to ensure security and seamless web operations. The system administrator is able to manage a fleet of agricultural machinery, including various inventory codes, release and return, fleet registry, and business performance. Users (farmers) may search the database of rental machinery and reserve them. Results: With respect to rental reservations, the system administrator can manage the fleet by setting the rental status to Approved, Released, or Returned. Through the web, the administrator can also create a database that includes machinery specifications, features, and rental rates. In addition, business performance data can be analyzed using a diverse array of tools to streamline the rental business. Without having to go to the rental office, users can save time and money by searching for and renting agricultural machinery through the information available on the website, including availability, specifications, and rental fees. After deploying the system, the time required to analyze monthly performance and create reports was dramatically reduced from 20 days per person to one day per person. Conclusions: Since 2014, AMRB has been installed and is operating in agricultural machinery rental businesses in 31 cities and counties in South Korea. This study recommends continued expansion and dissemination of AMRB for the systematic and efficient management of agricultural machinery rental businesses.

• Korean Journal of Agricultural Science
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• v.48 no.3
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• pp.617-627
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• 2021

In the field of on-road motor vehicles, the level for autonomous driving technology is defined according to J3016, proposed by Society of Automotive Engineers (SAE) International. However, in the field of agricultural machinery, different standards are applied by country and manufacturer, without a standardized classification for autonomous driving technology which makes it difficult to clearly define and accurately evaluate the autonomous driving technology, for agricultural machinery. In this study, a method to classify the autonomy levels for autonomous agricultural machinery (ALAAM) is proposed by modifying the SAE International J3016 to better characterize various agricultural operations such as tillage, spraying and harvesting. The ALAAM was classified into 6 levels from 0 (manual) to 5 (full automation) depending on the status of operator and autonomous system interventions for each item related to the automation of agricultural tasks such as straight-curve path driving, path-implement operation, operation-environmental awareness, error response, and task area planning. The core of the ALAAM classification is based on the relative roles between the operator and autonomous system for the automation of agricultural machines. The proposed ALAAM is expected to promote the establishment of a standard to classify the autonomous driving levels of self-propelled agricultural machinery.