Sensors, Vol. 19, Pages 4479: Machine Learning Based Prediction of Insufficient Herbage Allowance with Automated Feeding Behaviour and Activity Data

This study further identified that number of rumination chews per day and grazing bites per minute were the most important predictors and examined the marginal effects of the variables on model prediction towards a decision support system.

Source: Sensors - October 15, 2019 Category: Biotechnology Authors: Abu Zar Shafiullah Jessica Werner Emer Kennedy Lorenzo Leso Bernadette O ’Brien Christina Umst ätter Tags: Article Source Type: research