Machine Vision Application in Indonesian Oil Palm Industry
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.
Oil Palm FFB Machine Vision Non Destructive Ripeness Oil Content Free Fatty Acid Indonesia
Muhammad Makky Peeyush Soni Vilas M. Salokhe
ic.Systems & Engineering,SERD,Asian institute of Technology,Pathumthani 12120,Thailand;Dept.of Agric ic.Systems & Engineering,SERD,Asian institute of Technology,Pathumthani 12120,Thailand Vice-Chancellor,Kaziranga University,Jorhat,Assam,India
国内会议
杭州
英文
162-172
2012-10-27（万方平台首次上网日期，不代表论文的发表时间）