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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Biosystems Engineering
Journal Basic Information
Journal DOI :
Korean Society for Agricultural Machinery
Editor in Chief :
Volume & Issues
Volume 21, Issue 4 - Dec 1996
Volume 21, Issue 3 - Sep 1996
Volume 21, Issue 2 - Jun 1996
Volume 21, Issue 1 - Mar 1996
Selecting the target year
Comparison between Fuzzy and Adaptive Controls for Automatic Steering of Agricultural Tractors
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 283~292
Automatic guidance of farm tractors would improve productivity by reducing operator fatigue and increasing machine performance. To control tractors within
5cm of the desired path, fuzzy and adaptive steering controllers were developed to evaluate their characteristics and performance. Two input variables were position and yaw errors, and a steering command was fed to tractor model as controller output. Trapezoidal membership functions were used in the fuzzy controller, and a minimum-variance adaptive controller was implemented into the 2-DOF discrete-time input-output model. For unit-step and composite paths, a dynamic tractor simulator was used to test the controllers developed. The results showed that both controllers could control the tractor within
5cm error from the defined path and the position error of tractor by fuzzy controller was the bigger of the two. Through simulations, the output of self-tuning adaptive controller was relatively smooth, but the fuzzy controller was very sensitive by the change of gain and the shape of membership functions. Contrarily, modeling procedure of the fuzzy controller was simple, but the adaptive controller had very complex procedure of design and showed that control performance was affected greatly by the order of its model.
Effects of Tread, Wheelbase and Axle Load Distribution on Tractor Vibrations
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 293~305
Effects on the tractor vibrations of tread, wheelbase and axle load distribution were analyzed by using mathematical models of tractor and random road surface. A 4 degrees of freedom tractor model was developed to predict the bounce, pitch and roll motions of tractor. The front axle which is constrained to roll with respect to tractor body was also included in the model. A random road profile was generated and used as an excitation input to the tractor. Output vibrations of the model were predicted and analyzed by a computer simulation method. In general, longer tread tends to reduce rolling and longer wheelbase does bouncing and pitching motions. Tractor vibrations were minimum when the ratio of front to rear axle loads was in the range of 30:70-35:65. Sensitivity analysis showed that rolling and pitching motions most sensitively varied with changes in tread and wheelbase while bouncing motion did with the location of mass center.
Development of a Seeder Monitoring System
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 306~314
A seeder monitoring system was developed to solve the problems of mis-sowing and tube clogging in direct seeding machines, which have been one of the factors that reduce the performance of sowing operations. The system consisted of photo sensors, air nozzles, an air compressor, and a one-chip micro-computer based controller. The system was also equipped with the devices that perform the functions of self-checking and intermittent air injection for cleaning seed tubes. The performance of the system was tested in the laboratory and field. Using the well-cleaned rice seed, the average time for checking the mis-sowing was 1.37 seconds in the field and 1.2 seconds in the laboratory without any malfunction. Overall evaluation of the system indicated that the system can be utilized for seeding machines not only for paddies but beans and corns.
Analysis of Plants Shape by Image Processing
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 315~324
This study was one of a series of studies on application of machine vision and image processing to extract the geometrical features of plants and to analyze plant growth. Several algorithms were developed to measure morphological properties of plants and describing the growth development of in-situ lettuce(Lactuca sativa L.). Canopy, centroid, leaf density and fractal dimension of plant were measured from a top viewed binary image. It was capable of identifying plants by a thinning top viewed image. Overlapping the thinning side viewed image with a side viewed binary image of plant was very effective to auto-detect meaningful nodes associated with canopy components such as stem, branch, petiole and leaf. And, plant height, stem diameter, number and angle of branches, and internode length and so on were analyzed by using meaningful nodes extracted from overlapped side viewed images. Canopy, leaf density and fractal dimension showed high relation with fresh weight or growth pattern of in-situ lettuces. It was concluded that machine vision system and image processing techniques are very useful in extracting geometrical features and monitoring plant growth, although interactive methods, for some applications, were required.
Development of Robust Feature Recognition and Extraction Algorithm for Dried Oak Mushrooms
C. H. Lee ; H. Hwang ;
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 325~335
Visual features are crucial for monitoring the growth state, indexing the drying performance, and grading the quality of oak mushrooms. A computer vision system with neural net information processing technique was utilized to quantize quality factors of a dried oak mushrooms distributed over the cap and gill sides. In this paper, visual feature extraction algorithm were integrated with the neural net processing to deal with various fuzzy patterns of mushroom shapes and to compensate the fault sensitiveness of the crisp criteria and heuristic rules derived from the image processing results. The proposed algorithm improved the segmentation of the skin features of each side, the identification of cap and gill surfaces, the identification of stipe states and removal of the stipe, etc. And the visual characteristics of dried oak mushrooms were analyzed and primary visual features essential to tile quality evaluation were extracted and quantized. In this study, black and white gray images were captured and used for the algorithm development.
Development of NMR Based Prototype Sensor for Non-destructive Sugar Content Measurement in Fruits.
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 336~342
Nuclear Magnetic Resonance(NMR) sensor was designed and manufactured to evaluate the internal quality of fruits. The magnet console having 963gauss magnetic field induction was used for the NMR sensor. To optimize and evaluate the NMR sensor, glycerol and sugar-water solutions were used.
H(proton) resonance signals were used to estimate the sugar contents in fruits. Artificial neural network models were developed to predict sugar contents in fruits from the proton resonance signals. The standard errors of prediction(SEP) were 0.565(apple), 0.394(pear) and 0.415(kiwi), respectively. The result implied that it was possible to evaluate apple, pear and kiwi into 3 grades using the NMR sensor.
A Study on the Plot Geometry for Mechanization
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 343~356
The plot geometry of the paddy land is directly related to the performance of machines, especially those having a large size and high speed. The study was to investigate the optimum plot geometry from the standpoint of mechanization. A simulator, Field-Plot-Structure-Evaluation-System(FPSES) was developed for evaluation of the field performance of machines according to the plot geometry. The efficiency and capacity of different sizes of machinery used for rice farming functions were analyzed for a various combination of plot geometry, which could be used as reference for the land reclamation planning and mechanization programming. It is shown that the plot size of about two hectares having a length of 200m and width of loom may be optimum, considering the efficiency and capacity of large sized machinery available currently and in near future.
The Mathematical Modelling of the Field Performance of Machines
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 357~371
An assessment of the field performance of machines for varied farming conditions may be essential to the development of mechanization program and rational machinery management. The field performance of machines is largely affected by the field capacity of machinery selected, physical size and shape of field plots and their scatterness, farming functions and conditions, and labor requirement and constraints. The study was to develop the mathematical model for the field performance of machines and time requirement of the rice farming systems, considering those factors which affect the field performance of machines. The mathematical models developed were simulated to determine field efficiency and capacity of the different sizes of major machinery for a various size of paddy field plot and for prevailing conditions of farming operations. The effects of the sises of machinery and the plot geometry on the efficiency and field capacity were compared for major rice farming functions.
Analysis of Heat Transfer in Precooling of Fruits and Vegetables by Hydrocooling
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 372~378
Analysis of the Technological Levels of the Machineries and Equipment of the Rice Processing Complex(RPC) Industry
Journal of Biosystems Engineering, volume 21, issue 3, 1996, Pages 379~386