Project Overview
This research investigated the potential use of unmanned aerial vehicles (UAVs) equipped with electronic noses (gas sensors) to estimate the maturity of apples (Malus domestica) directly in the orchard. The goal was to provide a non-destructive and automated way to determine the optimal harvest time.
Technical Details
- Hardware: Integration of electronic noses (MOS sensors) with UAV platforms.
- Sensors: Detection of volatile organic compounds (VOCs) like ethylene, which are indicators of fruit ripeness.
- Data Analysis: Statistical analysis and machine learning techniques to correlate sensor readings with traditional maturity indices.
- Field Study: Conducted at Wageningen University and Research (WUR) experimental orchards.