Proceedings :: International Society of Precision Agriculture

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Nerpel, D

Noland, R

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Authors

Nerpel, D

Ellsworth, J.W

Hunt, A

Porter, W

Daughtry, D

Harris, G

Noland, R

Snider, J

Virk, S

Topics

Standards & Data Stewardship

Applications of Unmanned Aerial Systems

Type

Oral

Year

2016

2018

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Filter results2 paper(s) found.
1. Modus: a Standard for Big Data Modus Standard is a system of defined terminology, agreed metadata and file transfer format that has grown from a need to exchange, merge and trend agricultural testing data. The three presenters will discuss steps taken to develop the system, benefits to data exchange, current user base and additions being made to the standard. ... D. Nerpel, J.W. Ellsworth, A. Hunt Download paper
2. Correlating Plant Nitrogen Status in Cotton with UAV Based Multispectral Imagery Cotton is an indeterminate crop; therefore, fertility management has a major impact on the growth pattern and subsequent yield. Remote sensing has become a promising method of assessing in-season cotton N status in recent years with the adoption of reliable low-cost unmanned aerial vehicles (UAVs), high-resolution sensors and availability of advanced image processing software into the precision agriculture field. This study was conducted on a UGA Tifton campus farm located in Tifton, GA. The main... W. Porter, D. Daughtry, G. Harris, R. Noland, J. Snider, S. Virk Download paper

Filter results2 paper(s) found.

1. Modus: a Standard for Big Data

Modus Standard is a system of defined terminology, agreed metadata and file transfer format that has grown from a need to exchange, merge and trend agricultural testing data. The three presenters will discuss steps taken to develop the system, benefits to data exchange, current user base and additions being made to the standard. ... D. Nerpel, J.W. Ellsworth, A. Hunt

Download paper

2. Correlating Plant Nitrogen Status in Cotton with UAV Based Multispectral Imagery

Cotton is an indeterminate crop; therefore, fertility management has a major impact on the growth pattern and subsequent yield. Remote sensing has become a promising method of assessing in-season cotton N status in recent years with the adoption of reliable low-cost unmanned aerial vehicles (UAVs), high-resolution sensors and availability of advanced image processing software into the precision agriculture field. This study was conducted on a UGA Tifton campus farm located in Tifton, GA. The main... W. Porter, D. Daughtry, G. Harris, R. Noland, J. Snider, S. Virk

Download paper