Quantification of grass-severing bites performed by grazing cattle using halter-mounted accelerometers and machine learning.

This repository contains various resources used for the article "Quantification of grass-severing bites performed by grazing cattle using halter-mounted accelerometers and machine learning". Below is an overview of the contents available for download. ### Contents ## 1. [Matlab_Steps_Explanation.xlsx] - **Description:** This Excel file provides a detailed explanation of each MATLAB code used in the project. It includes information about their roles, input data requirements, and output data generated. ## 2. Data# Base Data - **Description:** Three ZIP files containing the raw base data used as input for the project.- **Files:** - [BaseData_Behavior.zip] = The behaviors coded with the program Cowlog for each video. - [BaseData_Bite.zip] = The bites coded with the program Cowlog for each video. - [BaseIMUdata_raw.zip] = The raw signal of the IMU corresponding to each video. # Compiled Data - **Description:** Two ZIP files containing compiled and processed data generated during the project.- **Files:** - [DataCompil_Phase1.zip] = The compilation of processed videos used for training et testing during the "Behaviour classification" phase. - [DataCompil_Phase2.zip] = The compilation of processed videos used for training during the "Bite quantification" phase. ## 3. Model Tested # Machine Learning Models - **Description:** Two folders containing MATLAB `.mat` files of all machine learning models tested during the project.- **Folders:** - [Phase1_models_tested] - [Phase2_models_tested] ## 4. Phase1_Code and Phase2_Code - **Description:** Folders containing MATLAB code used in different phases of the project.- **Folders:** - [`Phase1_Codes`] - [`Phase2_Codes`] You can contact the author here if needed : [e-mail] The video recordings of the animals will be put on a open access repository, the link will be updated in this description. You can contact the author here if needed : [e-mail]