Which statement best describes how IoT monitoring of dairy cows improves dairy farming?

• A. The system signals when cows are ready for milking.
• B. The system alerts when cows roam into neighboring paddocks.
• C. The system detects illnesses and speeds up recovery.
• D. The system increases milk yield per milking.

Answer: (C)

IoT monitoring shines by watching health and activity data from cows so problems are spotted early. Sensors track things like body temperature, movement, gait, and ruling patterns, and any deviation from a cow’s normal baseline can signal illness. Detecting these issues quickly enables rapid veterinary attention and treatment, helping the animal recover faster and reducing milk losses, culling risk, and overall herd downtime. That direct health-focused benefit—early illness detection leading to quicker recovery—is the strongest and most practical improvement described by IoT in dairy farming.

Other ideas describe useful features, like signaling when milking should happen or tracking where cows graze, but they’re not the core advantage that IoT provides for herd productivity. While better health monitoring can indirectly influence yield, the most direct, meaningful impact is catching illnesses early and speeding recovery.