Field Campaign for UAV-Based Crop Phenotyping

Dr. Anirudh Belwalkar, Wuhua Wang, Xiaoxin Song, Ying Yuan
Last updated on May 12, 2025 1 min read Fieldwork

Today our group is conducting a field campaign in the INVITE wheat field trial to advance UAV-based hyperspectral remote sensing for crop trait analysis.

Xiaoxin et al selfie with drone
The drone phenotyping team (Ying, Anirudh, Wuhua & Xiaoxin; left to right) operated quadcopter drones equipped with hyperspectral cameras under a every ideal weather condition:).
At the same time, in-situ hyperspectral measurements were collected using portable spectrometer for validation.
On the ground, team members configured calibration procedures to ensured accurate georeferencing and calibration.
This integrated setup reflects our focus on combining drone remote sensing data and ground measurements for high-resolution & hight-throughput phenotyping.

Preparing drones and cameras
Wuhua pilot
ASD canopy measurement

Drone Remote Sensing
Dr. Anirudh Belwalkar
Dr. Anirudh Belwalkar
Postdoctoral Researcher

My research interests include hyperspectral remote sensing of vegetation and precision agriculture.

Wuhua Wang
Wuhua Wang
PhD student

My research focuses on inversion of crop canopy parameters (eg. canopy nitrogen concentration) and drone hyperspectral remote sensing.

Xiaoxin Song
Xiaoxin Song
PhD Student

My research interests include multi-scale plant and crop phenotyping, crop growth and senescence monitoring, dynamic modelling, and remote sensing.

Ying Yuan
Ying Yuan
PhD student

My research focuses on remote sensing phenotyping of winter wheat, including ground-based and UAV-based hyperspectral remote sensing, solar-induced chlorophyll fluorescence remote sensing…