Onno Muller

Orcid: 0000-0002-0473-5632

According to our database1, Onno Muller authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
GrowliFlower: An image time-series dataset for GROWth analysis of cauLIFLOWER.
J. Field Robotics, March, 2023

2022
HyScreen: A Ground-Based Imaging System for High-Resolution Red and Far-Red Solar-Induced Chlorophyll Fluorescence.
Sensors, 2022

Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy.
Remote. Sens., 2022

LAI and Leaf Chlorophyll Content Retrieval Under Changing Spatial Scale Using a UAV-Mounted Multispectral Camera.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Assessment of plant density for barley and wheat using UAV multispectral imagery for high-throughput field phenotyping.
Comput. Electron. Agric., 2021

The potential of spatial aggregation to extract remotely sensed sun-induced fluorescence (SIF) of small-sized experimental plots for applications in crop phenotyping.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Response of Bean (Phaseolus vulgaris L.) to Elevated CO<sub>2</sub> in Yield, Biomass and Chlorophyll Fluorescence.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Measuring and Understanding the Dynamics of Solar-Induced Fluorescence (SIF) and its Relation to Photochemical and Non-Photochemical Energy Dissipation - Scaling Leaf Level Regulation to Canopy and Ecosystem Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art.
Remote. Sens., 2020

Land Surface Temperature Retrieval for Agricultural Areas Using a Novel UAV Platform Equipped with a Thermal Infrared and Multispectral Sensor.
Remote. Sens., 2020

Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach.
Remote. Sens., 2019

The High-Performance Airborne Imaging Spectrometer HyPlant - From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain.
Remote. Sens., 2019

2018
Field Phenotyping and an Example of Proximal Sensing of Photosynthesis Under Elevated CO2.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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