Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI
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(FIVE YEARS 13)

H-INDEX

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Published By SPIE

9781510643314, 9781510643321

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A UAS-based RF testbed for water utilization in agroecosystems

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2591895 ◽

2021 ◽

Author(s):

Mehmet Kurum ◽

Ali Gurbuz ◽

Spencer Barnes ◽

Dylan Boyd ◽

Matt Duck ◽

...

Keyword(s):

Water Utilization

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Predicting vineyard canopy coverage using drone pictures

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2585806 ◽

2021 ◽

Author(s):

Yufeng Zheng ◽

Girish Panicker ◽

Diane Stott

Keyword(s):

Canopy Coverage

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A collaborative operation system of autonomous unmanned aerial vehicles for field phenotyping in farm fields

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2585866 ◽

2021 ◽

Author(s):

Hyeon-Seung Lee ◽

Beom-Soo Shin ◽

J. Alex Thomasson ◽

Xiongzhe Han

Keyword(s):

Unmanned Aerial Vehicles ◽

Operation System ◽

Aerial Vehicles ◽

Field Phenotyping

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Individual maize extraction from UAS imagery-based point clouds by 3D deep learning

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2587100 ◽

2021 ◽

Author(s):

Monica Herrero ◽

Seth A. Tolley ◽

Mitchell R. Tuinstra ◽

Yang Yang

Keyword(s):

Deep Learning ◽

Point Clouds

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Lessons learned towards the immediate delivery of massive aerial imagery to farmers and crop consultants

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2587694 ◽

2021 ◽

Author(s):

Amy Gooch ◽

Steve Petruzza ◽

Attila Gyulassy ◽

Giorgio Scorzelli ◽

Valerio Pascucci ◽

...

Keyword(s):

Lessons Learned ◽

Aerial Imagery

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Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2586259 ◽

2021 ◽

Author(s):

Rui Gao ◽

Alfonso F. Torres-Rua ◽

Ayman Nassar ◽

Joseph Alfieri ◽

Mahyar Aboutalebi ◽

...

Keyword(s):

Machine Learning ◽

Energy Balance ◽

Leaf Area Index ◽

Leaf Area ◽

Energy Balance Model ◽

Balance Model ◽

Area Index ◽

Evapotranspiration Partitioning

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Scientific timely actionable robotic data operating system (STARDOS): architecture and progress

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2588009 ◽

2021 ◽

Author(s):

Calvin Coopmans ◽

Stephen Brimhall ◽

Ryan Goodman ◽

Steve Petruzza

Keyword(s):

Operating System

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Investigate the potential of UAS-based thermal infrared imagery for maize leaf area index estimation

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2586694 ◽

2021 ◽

Author(s):

Lin Wang ◽

Jiating Li ◽

Lin Zhao ◽

Biquan Zhao ◽

Geng Bai ◽

...

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Thermal Infrared ◽

Infrared Imagery ◽

Area Index ◽

Maize Leaf ◽

Thermal Infrared Imagery ◽

Index Estimation

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Welcome and Introduction to SPIE Conference 11747

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2597580 ◽

2021 ◽

Author(s):

J. Alex Thomasson ◽

Alfonso F. Torres-Rua

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Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI ◽

10.1117/12.2587763 ◽

2021 ◽

Author(s):

Ayman Nassar ◽

Alfonso F. Torres-Rua ◽

Venkatesh Merwade ◽

Sayan Dey ◽

Lan Zhao ◽

...

Keyword(s):

Energy Balance ◽

High Resolution ◽

Surface Energy ◽

High Performance Computing ◽

High Performance ◽

Surface Energy Balance ◽

Performance Computing

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Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VILatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By SPIE

A UAS-based RF testbed for water utilization in agroecosystems

Predicting vineyard canopy coverage using drone pictures

A collaborative operation system of autonomous unmanned aerial vehicles for field phenotyping in farm fields

Individual maize extraction from UAS imagery-based point clouds by 3D deep learning

Lessons learned towards the immediate delivery of massive aerial imagery to farmers and crop consultants

Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information

Scientific timely actionable robotic data operating system (STARDOS): architecture and progress

Investigate the potential of UAS-based thermal infrared imagery for maize leaf area index estimation

Welcome and Introduction to SPIE Conference 11747

Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI
Latest Publications