Indonesian Journal of Electrical Engineering and Computer Science Vol. 28, No. 2, November 2022, pp. 1028~1036 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v28.i2.pp1028-1036  1028 Journal homepage: http://ijeecs.iaescore.com Kelulut honey-filled pots detection using image processing based techniques Wan Nur Azhani W. Samsudin 1 , Mohd Harizan Zul 2 , Mohd Zamri Ibrahim 1 , Rohana Abdul Karim 1 1 Computational System Intelligence, Faculty of Electrical and Electronic Engineering Technology, Universiti Malaysia Pahang, Malaysia 2 Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, Malaysia Article Info ABSTRACT Article history: Received Jan 18, 2022 Revised Jul 18, 2022 Accepted Aug 11, 2022 Kelulut bee is one of the stingless bee species in Malaysia, which is not dangerous to human. Honey from Kelulut bee can be used for the treatment of a variety of illness. The awareness of honey nutrition in our health makes it received high demands from the consumers. Traditionally, beekeepers did the manual inspection to check the honey-filled pots by using the straw or needle. The high demand from the consumers and the greater size of Kelulut beehive make it impractical to check manually all the honeypots which are time-consuming. The hygiene of the collected honey is also important to produce a good quality of honey. Hence, an automated honey-filled pots detection system is proposed to overcome these limitations. The proposed system will reduce the time consuming and less prone to error of the wrong estimation of honey-filled pots. MATLAB software is used to process the image of the Kelulut beehive which is challenging due to the overlapped honeypots in the image. Using the proposed algorithm, it can detect whether the pots filled with honey or not by using image processing techniques and it will analyse the image which represents the percentage amount of honey in the beehives. Keywords: Detection Honey pots Image processing Kelulut beehive Stingless bee This is an open access article under the CC BY-SA license. Corresponding Author: Wan Nur Azhani W. Samsudin Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang 26600 Pekan, Pahang, Malaysia Email: nurazhani@ump.edu.my 1. INTRODUCTION Stingless bees are one of the biggest group of bees, comprising the other type of bee such as tribe ‘Meliponine’ (sometimes called stingless honeybees) in the family ‘Apidae’. It is also known as Kelulut bee in Malaysia. The species of stingless bee have been found along years ago and closely related to the common honeybees, carpenter bees, orchid bees, and bumblebees. Stingless bees collect nectar, which then is stored in an extension of their gut called a crop. At the backof beehive, the bees ripen or dehydrate the nectar droplets by spinning them inside their mouthparts until the honey is formed. Ripening concentrates the nectar and increases the sugar content, though it is not nearly as concentrated as the honey from true honeybees. Honey is a natural food extracted from the honey bee and commonly used as a sweetener. Besides, honey also is known for its remedial value [1]. Unlike a hive of commercial honeybees, which can produce 75 kilograms of honey a year, a hive of stingless bees produces less than one kilogram. Due to the low production of stingless bee honey [2], studies on the potential of honey in treating several health problems are mostly focusing on Manuka and Tualang honey compared to the stingless bee honey. Kelulut bee produce a different taste honey which is a mix of sweet and sour taste, which is comes from plant resins of various flowers and trees, where the bees use to build their hives and honeypots [3]. The