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Gayathri, G.
- Design, Development and Evaluation of a Manually Operated Onion Grader for Rose Onion
Authors
1 College of Agricultural Engineering (ANGRU), Madakasira, Anantapur (A.P.), IN
2 Department of Farm Power and Machinery, College of Agricultural Engineering (ANGRAU), Madakasira, Anantapur (A.P.), IN
3 Department of Agricultural Engineering, Indian Institute of Horticulture Research, Hesaraghatta, Bengaluru (Karnataka), IN
4 Department of Soil and Water Conservation Engineering, College of Agricultural Engineering (ANGRAU), Madakasira, Anantapur (A.P.), IN
Source
International Journal of Agricultural Engineering, Vol 9, No 2 (2016), Pagination: 121-129Abstract
A manually operated onion grader was designed, developed and evaluated at I.I.H.R., Bangalore for Rose onion verities commonly cultivated in Bangalore into three grades based on geometric dimensions of the selected variety. The linear dimensions like polar diameter, equatorial diameter and thickness of Rose onions were found in the range of 21.92 - 54.54 mm, 15.83 - 59.13 mm and 16.52 - 50.22 mm, respectively. The angle of repose of Rose onions were found as 54.5o, and co-efficient of static friction for onions on different surfaces like galvanized iron 0.402, for stainless steel 0.414, for aluminum 0.386, for mild steel 0.522 and for plywood 0.366, respectively. Experiments were conducted with three types of slopes, at each slope three different feed gate opening lengths and two swing directions. The statistical analysis showed that the standardized parameters were slope 4o, length wise swing direction and feed gate at full opening. The grader has a grading capacity 1105 kg/h at overall grading efficiency 75 per cent and required grading efficiency 75 per cent. The operation cost of machine was 6 times less than manual operation cost.Keywords
Rose Onions, Grading, Grading Efficiency, Grading Capacity, Damage Efficiency.- Automated Map Generating and Ranging Robot
Authors
1 Department of Electrical and Electronics Engineering, Tamilnadu College of Engineering, Karumathampatti, Coimbatore-641659, Tamilnadu, IN
Source
Digital Image Processing, Vol 11, No 3 (2019), Pagination: 51-53Abstract
Robotic mapping and exploration is an important contribution in the area of SLAM for autonomous robots. The autonomous mapping learning problem is focused in the content. Solutions includes uncertainty - driven exploration, active loop closing and coordination of multiple robots, learning and incorporation background knowledge and dealing with dynamic environments. One requirement of SLAM is a range measurement device, of the method for observing the environment around the robot. Laser sensor such as LIDAR is the most common measuring device. Laser sensor are easy to use and very precise however, they are also extremely expensive.
Thus sonar can be used and the device is especially useful for mapping underwater environment. This optical reader can came in 2D or even 3D formats. Plotting the data of US sensor which is rotating a 360 degree, will yield a map of one plane. By The height of the setup consequent plane's map can be obtained.
References
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