An automated on-line clinical mastitis detection system using measurement of electrical parameters and milk production efficiency
Open Access
- 1 November 2020
- journal article
- research article
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 1676 (1), 012190
- https://doi.org/10.1088/1742-6596/1676/1/012190
Abstract
This study aims to assess a novel method for automatic on-line detection of clinical mastitis in an automatic milking system using the measurement of electrical parameters, data of milk production efficiency and neural network from the novel mastitis detection sensor. The sensors were used to measure following 9 parameters: the quarter-level milk yield (MY; kg), average electrical conductivity in milking session (AEC; mS/cm), pH of milk (pH), temperatures of milk (TP; °C), milk production efficiency (MPE; kg/h) between successive milking sessions, milking time(MT; min), Milking efficiency (ME; kg/min), Milk production time(MPT; kg/h), cow number. The 9 measurements were inputted into a neural network to calculate the mastitis detection index. The network was trained with 44 healthy and 6 clinical mastitic cows. 42 of 44 healthy and 5 of 6 mastitic cows were classified correctly after training. The trained neural network predicted 164 of 176 healthy quarters correctly in different evaluation data sets. These results were better than the results obtained with the model usually used on the farm.This publication has 12 references indexed in Scilit:
- Development of a new clinical mastitis detection method for automatic milking systemsJournal of Dairy Science, 2018
- A genome-wide association study suggests new candidate genes for milk production traits in Chinese Holstein cattleAnimal Genetics, 2017
- Online detection of dairy cow subclinical mastitis using electrical conductivity indices of milkEngineering in Agriculture, Environment and Food, 2016
- Diets of differentially processed wheat alter ruminal fermentation parameters and microbial populations in beef cattle1Journal of Animal Science, 2015
- Effects of feeding fatty acid calcium and the interaction of forage quality on production performance and biochemical indexes in early lactation cowJournal of Animal Physiology and Animal Nutrition, 2015
- Effects of chelated Zn/Cu/Mn on redox status, immune responses and hoof health in lactating Holstein cowsJournal of Veterinary Science, 2015
- A new neural network model based on the LVQ algorithm for multi-class classification of arrhythmiasInformation Sciences, 2014
- The Study on the Effects of Chinese Herbal Mixtures on Growth, Activity of Post-Ruminal Digestive Enzymes and Serum Antioxidant Status of Beef CattleAgricultural Sciences in China, 2011
- Electrical conductivity of milk as a phenotypic and genetic indicator of bovine mastitis: A reviewLivestock Production Science, 2005
- Bovine Mastitis: An Evolving DiseaseThe Veterinary Journal, 2002