【摘 要】
:
this study,a non-destructive technique namely machine vision for assessing the ripeness of oil palm fresh fruit bunches (FFB) as well as its quality indices
【机 构】
:
ic.Systems & Engineering,SERD,Asian institute of Technology,Pathumthani 12120,Thailand
【出 处】
:
2012中国农业机械学会国际学术年会
论文部分内容阅读
this study,a non-destructive technique namely machine vision for assessing the ripeness of oil palm fresh fruit bunches (FFB) as well as its quality indices; oil content (OC) and free fatty acid (FFA),was investigated.In practice,FFB can be distinguished into several fractions; F0,F1,F2,F3,F4,and F5.These fractions are correlated to the bunch ripeness state,from a raw bunch (F0) to the ripe (F2) and up to over ripe bunch (F5).The machine vision developed in this study comprised of hardware and software,for acquisition and processing of image to extract its features and determined the ripeness fraction together with oil content and free fatty acid level.Results showed that the developed system had the mobility advantages compared to other systems.
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