Murilo M. Maeda

Orcid: 0000-0001-6870-3771

According to our database1, Murilo M. Maeda authored at least 13 papers between 2017 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2021
Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation.
J. Sensors, 2021

2020
Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework.
Remote. Sens., 2020

Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV).
J. Sensors, 2020

Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV).
Comput. Electron. Agric., 2020

2019
Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture.
Remote. Sens., 2019

A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data.
Remote. Sens., 2019

Validation of agronomic UAV and field measurements for tomato varieties.
Comput. Electron. Agric., 2019

2018
Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data.
Remote. Sens., 2018

Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes.
Comput. Electron. Agric., 2018

2017
A ground based platform for high throughput phenotyping.
Comput. Electron. Agric., 2017

Crop height monitoring with digital imagery from Unmanned Aerial System (UAS).
Comput. Electron. Agric., 2017

Cotton growth modeling using unmanned aerial vehicle vegetation indices.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Sorghum panicle extraction from unmanned aerial system data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017


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