Understanding Farmers' Expectations and Experiences in Using Sensor Technologies

Abstract

Sensor-enabled tracking technologies have been applied in farming systems to enhance the efficiency by documenting detailed information about farms and making predictions. However, less is known about how farmers make sense of the tracked data and act upon them. Investigating how some Taiwanese farmers respond to a system that monitors those data, this study found that farmers need historical data as well as real-time ones from multiple sources and that it could be challenging for them to make sense of the data to the point that they want to outsource part of their decision-making to the system.