Potential of connected devices to optimize cattle reproduction

Area of Science:

• Animal Science
• Reproductive Biology
• Agricultural Technology

Background:

• Estrus (heat) and calving are critical reproductive events in cattle, significantly impacting herd economics.
• Manual detection of these events is time-consuming and labor-intensive.
• Connected devices offer potential solutions for automated monitoring.

Purpose of the Study:

• To review the performance of sensor systems for estrus and calving detection.
• To discuss the economic implications of connected devices in cattle reproduction management.
• To explore future perspectives for these technologies.

Main Methods:

• Review of current sensor system performances for detecting estrus and calving.
• Analysis of economic factors influencing the adoption of connected devices.
• Discussion of physiological parameters monitored by sensors (activity, temperature, rumination).

Main Results:

• Sensor systems combining multiple indicators (activity, temperature, rumination) show promise for improved detection accuracy.
• Prediction of calving requiring human assistance (dystocia) needs further development.
• Economic benefits are contingent on herd performance, size, labor costs, and equipment prices.

Conclusions:

• Connected devices can optimize reproductive performance and reduce farm labor.
• Key challenges include high initial investment, lack of economic analysis, and user technical skills.
• Future applications include precise phenotyping for improved animal welfare and public perception.