English

Abstract

The variations of day light intensity must be taken into account to recognize the color of the agriculture product when using camera vision system. In this study, the development of outdoor image analysis for oil palm fruit fresh bunches (FFB) was developed to analyses image of oil palm FFB. The software analysis will generates the mathematical model and correlation factor between the light intensity in relation to value of FFB from Red, Green and Blue component (RGB) of image taken. The visual basic programming language was used. An Excel worksheet programming software was developed to draw a chart and modify the charts location and dimensions. The API (Application Programming Interface) called GDI32 (Graphic Device Interface: 32-bit version) was applied to read and manipulate the pixel value of image. The software automation technique was used in the development of outdoor image analysis for agriculture product. The automation concept is to describe the automatic generation of the software to manipulate the data for producing the graph, mathematical analysis and equation, automatically from a bundle of data collected by only a click of mouse button. The result generated was used to develop mathematical model for color-based recognition for outdoor image of agriculture product. Linear regression function was used to find the equation of mathematical model for outdoors image analysis. To find the best equation of mathematical model, various trendline of data manipulation can be chosen manually from option provided in Microsoft Excel. The images of FFB were taken by using sony digital camera Handycam at various times of day from morning to afternoon in the oil palm plantation. Keywords - Outdoors Vision System, Colour Recognition, Software Automation, Oil Palm FFB