<prompt> Rala algorithm ho khetholla mefuta e fapaneng ea linonyana fotong.  <response>: Instruction in English: Design an algorithm to identify different types of birds in a photo. . Response in English: Step 1: Preprocessing- Start by loading the photo into the program and resize the photo to the standard size used in the algorithm.Step 2: Bird Detection- Implement a bird detection algorithm using techniques such as edge detection, color detection or deep learning to locate the bird in the photo.Step 3: Feature Extraction- Extract unique features of the detected bird such as beak shape, feather pattern, wing shape, color, size, and other characteristics.Step 4: Model Implementation- Implement a machine learning algorithm such as a decision tree, support vector machine or k-nearest neighbors, that has been trained on a dataset of images of different types of birds along with their respective features.Step 5: Classification- Use the extracted features from Step 3 as the input to the machine learning algorithm to classify the bird into its respective type.Step 6: Output- Output the type of bird identified by the algorithm. If the algorithm is uncertain or the bird does not match with any type in the database, an appropriate message can be displayed. . Response in Sesotho: Mohato oa 1: Preprocessing - Qala ka ho kenya foto lenaneong me u fetole boholo ba foto ho saese e tloaelehileng e sebelisoang ho algorithm. Mohato oa 2: Ho lemoha Nonyana - Kenya tsebetsong algorithm ea ho lemoha linonyana u sebelisa mekhoa e kang ho lemoha ka thōko, ho lemoha mebala kapa ho ithuta ka botebo ho fumana nonyana setšoantšong. Mohato oa 3: Phatlalatso ea Tšobotsi - Fumana likarolo tse ikhethang tsa nonyana e fumanoeng joalo ka sebopeho sa molomo, sebopeho sa masiba, sebopeho sa mapheo, mala, boholo le litšobotsi tse ling. Mohato oa 4: Phethahatso ea Mohlala - Kenya tsebetsong algorithm ea ho ithuta ka mochini joalo ka sefate sa liqeto, mochini o tšehetsang vector kapa baahelani ba haufi ba k, ba koetlisitsoeng lethathamong la litšoantšo tsa mefuta e fapaneng ea linonyana hammoho le likarolo tsa bona. Mohato 5: Classification - Sebelisa likarolo tse ntšitsoeng ho Mohato oa 3 e le kenyelletso ho algorithm ea ho ithuta mochini ho hlophisa nonyana ho ea ka mofuta oa eona. Mohato oa 6: Output - Output mofuta oa nonyana e khetholloang ke algorithm. Haeba algorithm e sa tsitsa kapa nonyana ha e lumellane le mofuta ofe kapa ofe sebakeng sa polokelo ea litaba, molaetsa o nepahetseng o ka hlahisoa. 