Kelulut honey-filled pots detection using image processing based techniques

Kelulut bee is one of the stingless species in Malaysia, which not dangerous to human. Honey from can be used for treatment a variety illness. The awareness honey nutrition our health makes it received high demands consumers. Traditionally, beekeepers did manual inspection check honey-filled pots by using straw or needle. demand consumers and greater size beehive make impractical manually all honeypots are time-consuming. hygiene collected also important produce good quality honey. Hence, an automated detection system proposed overcome these limitations. will reduce time consuming less prone error wrong estimation pots. MATLAB software process image challenging due overlapped image. Using algorithm, detect whether filled with processing techniques analyse represents percentage amount beehives.