The objective of the MARIAGE project is to develop innovative applications and strategies to make the most of the sensors already in place on livestock farms, based on the example of heat detection.
Analyze the reasons why farmers purchase the systems
and estimate their improvement in working conditions
Produce a method for analyzing the cost/benefit ratio of installing sensor systems
for automated heat detection
Characterize new phenotypes and reproductive monitoring indicators
from automated records of reproductive sensors
Action 1 – Investing in a sensor system: multi-criteria evaluation of the cost/benefit ratio.
The objectives of this action are (1) to identify what motivates farmers to purchase a reproduction monitoring system and evaluate the improvement in working conditions through surveys and (2) to estimate the impact on productivity and profitability through simulation. Based on the results, we will develop a tool to help livestock farmers decide whether or not to invest in a system, and if so, help them decide which system to buy.
Action 2 – Using a sensor system: from individual use to collective data exploitation.
The objectives of this action are to characterize new phenotypes on cow heat expression and cycles and to develop new indicators for monitoring reproductive performance at the herd level, based on data from the sensors. To this end, a database for the project will be set up, using heat detection sensor data provided by Medria Technologies on approximately 100,000 animals.
Action 3 – Coordination and transfer of the project’s achievements.
The objective of this action is to organize the project and transfer the results of the project to a wide audience: livestock farmers and their advisors, sensor manufacturers and distributors, as well as education and research.
Reprocessing of HeatPhone data from 01/01/2010 to 31/12/2014 from 1087 dairy farms (cows and heifers) with data and indicators developed specifically for this project.
The volume of raw data to be reprocessed: 2.5 TB – 15 days of data reprocessing 24 hours a day using a specific environment.
Work in progress: study and statistical analysis of the database.
Project supported by 3 Joint Research Units: “Health Control of Bovine Herds”, “Dairy Research and Engineering”, and “Genetic and Genomic Management of Bovine Populations”.