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Taylor, J.A

Ryu, S

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Authors

Blasch, G

Taylor, J.A

Ha, T

Aldridge, K

Johnson, E

Shirtliffe, S.J

Ryu, S

Topics

Proximal and Remote Sensing of Soil and Crop (including Phenotyping)

Applications of Unmanned Aerial Systems

Type

Oral

Year

2018

2022

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Filter results2 paper(s) found.
1. Multi-Temporal Yield Pattern Analysis - Adaption of Pattern Recognition to Agronomic Data In precision agriculture, the understanding of yield variability, both spatial and temporal, can deliver essential information for the decision making of site-specific crop management. Since commercial yield mapping started in the early 1990s, most research studies have focused on spatial variance or short-term temporal variance analyzed statistically in order to produce trend maps. Nowadays, longer records of high-quality yield data are available offering a new potential to evaluate yield variability... G. Blasch, J.A. Taylor Download paper
2. Knowledge-based Approach for Weed Detection Using RGB Imagery A workflow was developed to explore the potential use of Phase One RGB for weed mapping in a herbicide efficacy trial in wheat. Images with spatial resolution of 0.8 mm were collected in July 2020 over an area of nearly 2000 square meters (66 plots). The study site was on a research farm at the University of Saskatchewan, Canada. Wheat was seeded on June 29, 2020, at a rate of 75 seeds per square meter with a row spacing of 30.5 cm. The weed species seeded in the trial were kochia, wild oat, wild... T. Ha, K. Aldridge, E. Johnson, S.J. Shirtliffe, S. Ryu

Filter results2 paper(s) found.

1. Multi-Temporal Yield Pattern Analysis - Adaption of Pattern Recognition to Agronomic Data

In precision agriculture, the understanding of yield variability, both spatial and temporal, can deliver essential information for the decision making of site-specific crop management. Since commercial yield mapping started in the early 1990s, most research studies have focused on spatial variance or short-term temporal variance analyzed statistically in order to produce trend maps. Nowadays, longer records of high-quality yield data are available offering a new potential to evaluate yield variability... G. Blasch, J.A. Taylor

Download paper

2. Knowledge-based Approach for Weed Detection Using RGB Imagery

A workflow was developed to explore the potential use of Phase One RGB for weed mapping in a herbicide efficacy trial in wheat. Images with spatial resolution of 0.8 mm were collected in July 2020 over an area of nearly 2000 square meters (66 plots). The study site was on a research farm at the University of Saskatchewan, Canada. Wheat was seeded on June 29, 2020, at a rate of 75 seeds per square meter with a row spacing of 30.5 cm. The weed species seeded in the trial were kochia, wild oat, wild... T. Ha, K. Aldridge, E. Johnson, S.J. Shirtliffe, S. Ryu