Application of machine learning to improve dairy farm management: A systematic literature review

Comparison of forecast models of production of dairy cows combining animal and diet parameters

(2020) Quoc Thong Nguyen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Development of a recurrent neural networks-based calving prediction model using activity and behavioral data

(2020) Ali Seydi Keceli et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle

(2020) Mohit Taneja et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated prediction of mastitis infection patterns in dairy herds using machine learning

(2020) Robert M. Hyde et al.   Scientific Reports

Crop yield prediction using machine learning: A systematic literature review

(2020) Thomas van Klompenburg et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Cytometric fingerprinting and machine learning (CFML): A novel label-free, objective method for routine mastitis screening

(2019) Abhishek S. Dhoble et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

On the utilization of deep and ensemble learning to detect milk adulteration

(2019) Habib Asseiss Neto et al.   BioData Mining

Predicting first test day milk yield of dairy heifers

(2019) Gabriel Machado Dallago et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models

(2019) Mansour Ebrahimi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Classification of cow milk using artificial neural network developed from the spectral data of single- and three-detector spectrophotometers

(2019) Shima Behkami et al.   FOOD CHEMISTRY

Some challenges and opportunities for grazing dairy cows on temperate pastures

(2019) J. Michael Wilkinson et al.   GRASS AND FORAGE SCIENCE

Milk quality control requirement evaluation using a handheld near infrared reflectance spectrophotometer and a bespoke mobile application

(2019) Rubén Muñiz et al.   JOURNAL OF FOOD COMPOSITION AND ANALYSIS

Hierarchical pattern recognition in milking parameters predicts mastitis prevalence

(2018) Esmaeil Ebrahimie et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A large-scale study of indicators of sub-clinical mastitis in dairy cattle by attribute weighting analysis of milk composition features: highlighting the predictive power of lactose and electrical conductivity

(2018) Esmaeil Ebrahimie et al.   JOURNAL OF DAIRY RESEARCH

Detection of high levels of somatic cells in milk on farms equippedwith an automatic milking system by decision trees technique

(2017) Beata SITKOWSKA et al.   TURKISH JOURNAL OF VETERINARY & ANIMAL SCIENCES

Farm management information systems: Current situation and future perspectives

(2015) S. Fountas et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Short communication: Use of genomic and metabolic information as well as milk performance records for prediction of subclinical ketosis risk via artificial neural networks

(2015) A. Ehret et al.   JOURNAL OF DAIRY SCIENCE

Invited review: Changes in the dairy industry affecting dairy cattle health and welfare

(2015) H.W. Barkema et al.   JOURNAL OF DAIRY SCIENCE

Quantification of whey in fluid milk using confocal Raman microscopy and artificial neural network

(2015) Roney Alves da Rocha et al.   JOURNAL OF DAIRY SCIENCE

Comparison of modelling techniques for milk-production forecasting

(2014) M.D. Murphy et al.   JOURNAL OF DAIRY SCIENCE

Mastitis detection in dairy cows: the application of support vector machines

(2013) B. MIEKLEY et al.   JOURNAL OF AGRICULTURAL SCIENCE

Investigating associations between milk metabolite profiles and milk traits of Holstein cows

(2013) N. Melzer et al.   JOURNAL OF DAIRY SCIENCE

The discrimination of raw and UHT milk samples contaminated with penicillin G and ampicillin using image processing neural network and biocrystallization methods

(2013) Sevcan Unluturk et al.   JOURNAL OF FOOD COMPOSITION AND ANALYSIS

Application of the Support Vector Machine to Predict Subclinical Mastitis in Dairy Cattle

(2013) Nazira Mammadova et al.   TheScientificWorldJOURNAL

Comparative efficiency of artificial neural networks and multiple linear regression analysis for prediction of first lactation 305-day milk yield in Sahiwal cattle

(2012) V.B. Dongre et al.   Livestock Science

Detection of clinical mastitis with sensor data from automatic milking systems is improved by using decision-tree induction

(2010) C. Kamphuis et al.   JOURNAL OF DAIRY SCIENCE

Food Security: The Challenge of Feeding 9 Billion People

(2010) H. C. J. Godfray et al.   SCIENCE

Decision-tree induction to detect clinical mastitis with automatic milking

(2009) C. Kamphuis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection of mastitis and its stage of progression by automatic milking systems using artificial neural networks

(2009) Zhibin Sun et al.   JOURNAL OF DAIRY RESEARCH

Systematic literature reviews in software engineering – A systematic literature review

(2008) Barbara Kitchenham et al.   INFORMATION AND SOFTWARE TECHNOLOGY