Ubi Gadong (Dioscorea hispida) is a toxic plant which contains toxic poison. It can only be consumed after the poison of dioscorin is removed. It is normally found in wildlife forest and planted in clay soil condition in Asia region. The advancement of technology should introduce in most important area; agriculture, as for benefit of mankind. The solid modeling software may use for design, model and simulate the workability of the designed equipment in CAD environment system. The simulation analysis will make the designer choose the best decision for fabrication stage of agriculture mechanization tool. The farm mechanization for ubi gadong is help to produce the good quality and output in this new exploration of wildlife food for commercialization.
This experiment was conducted to determine the equations relating the Hue digital values of the fruits surface of the oil palm with maturity stage of the fruit in plantation. The FFB images were zoomed and captured using Nikon digital camera, and the calculation of Hue was determined using the highest frequency of the value for R, G, and B color components from histogram analysis software. New procedure in monitoring the image pixel value for oil palm fruit color surface in real-time growth maturity was developed. The estimation of day harvesting prediction was calculated based on developed model of relationships for Hue values with mesocarp oil content. The simulation model is regressed and predicts the day of harvesting or a number of days before harvest of FFB. The result from experimenting on mesocarp oil content can be used for real-time oil content determination of MPOB color meter. The graph to determine the day of harvesting the FFB was presented in this research. The oil was found to start developing in mesocarp fruit at 65 days before fruit at ripe maturity stage of 75% oil to dry mesocarp.
The potential of machine vision application in the determination of alkaloid inDioscorea hispidarhizome was explored. A camera vision system used in this research is chroma meter CR-400 made by Konica Minolta. The first component is the hardware component that functions as an image acquisitioned for the system. The second component is the software part which converts reading obtained from the hardware. From the design review, the images from a variety of harvested ofDioscorea hispidawill be captured and the reading in L*a*b color space were converted. The prediction was also made on the statistical relationship between Hue and dioscorine level in the fruit. With the same rhizomes, 40 grams was selected for chemical analysis at a laboratory for the programme of East Coastal Economic Regions Kementerian Pengajian Tinggi, Universiti Sultan Zainal Abidin, Malaysia (ECER-KPT UniSZA). The samples were selected from 12 portions of 2 plants (I and B) collected from Kampung Kudat, Ajil, Terengganu, Malaysia. The development on this study is grouped as non destructive method to determine the dioscorine content which is one of the alkaloid components in the rhizome ofDioscorea hispida.
There is a real need to develop a hand tool harvester since harvesting tubers of Dioscorea hispida (ubi gadong) is time tedious and consuming. The tubers were surrounded by roots, which were well gripped to the soil which made harvesting process difficult. Therefore, a new tool equipped with cutting device to cut the roots of D. hispida is required. The information from the experiments is used to model and simulate the tool in Computer Aided Design (CAD) environment. The solid modeling software solidworks was used for the design, modeling and simulation of the equipment and the finite element analysis to determine the stress, force and displacement were also conducted.
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