![]() While The testing phase uses 24 bird images, 22 images of lovebird birds identified according to their type, and two recognizable lovebirds images but not according to its kind resulting in an accuracy level of 91,67%. The training stage uses 30 bird images recognized according to type resulting in an accuracy level of 100%. The system is divided into two stages, namely the training stage and the testing phase. Berikut daftar biji-bijian yang paling disukai burung lovebird baik itu lakbet atau lovebird lomba, konslet maupun ternak. Dipo Penangkaran Menjual berbagai macam jenis burung lovebird dan murai batu medan. Image data were taken in the form of bird samples, lovebird josan, albino, and lutino by using a DSLR camera and identification algorithm K-means Clustering. Beberapa jenis biji-bijian, buah, sayuran serta aneka pakan tambahan lain yang sangat disukai burung lovebird, bisa anda temukan dibawah sini. Menjual dan menerima pesanan LOVEBIRD & MURAI partai kecil / besar. Identify the type of lovebird bird conducted by researchers, namely color analysis of lovebird bird feathers. Semakin unik warna dari burung ini, maka harga jualnya semakin tinggi.Berikut jenis-jenis yang wajib anda simak. Jenis burung Lovebird sering dikembangbiakkan oleh para penghobi burung untuk mencari warna-warna baru dan langka. Based on that weakness, the researcher designed an identification system type of lovebird birds by using the Matlab programming language. Burung yang mempunyai warna paling indah dan cantik yaitu Lovebird. This way has a weakness that is, it takes a long time and results in an invalid identification. Parameters to define the type of bird lovebird usually done manually by using the sense of sight. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.Identification process type of bird lovebird, usually determined by parameters characteristic feather color of birds lovebird. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. ![]()
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