Proceedings :: International Society of Precision Agriculture

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Lum, C

Leszczyńska, R

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Authors

Lum, C

Dunbabin, M

Shaw-Feather, C

Mackenzie, M

Luker, E

Samborski, S.M

Szatylowicz, J

Gnatowski, T

Leszczyńska, R

Thornton, M

Walsh, O

Samborski, S.M

Torres, U

Leszczyńska, R

Bech, A

Bagavathiannan, M

Topics

Unmanned Aerial Systems

On Farm Experimentation with Site-Specific Technologies

Scouting and Field Data collection with Unmanned Aerial Systems

Type

Oral

Year

2016

2022

2024

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Filter results3 paper(s) found.
1. Multispectral Imaging and Elevation Mapping from an Unmanned Aerial System for Precision Agriculture Applications As the world population continues to grow, the need for efficient agricultural production becomes more pressing. The majority of farmers still use manual techniques (e.g. visual inspection) to assess the status of their crops, which is tedious and subjective. This paper examines an operational and analytical workflow to incorporate unmanned aerial systems (UAS) into the process of surveying and assessing crop health. The proposed system has the potential to significantly reduce... C. Lum, M. Dunbabin, C. Shaw-feather, M. Mackenzie, E. Luker Download paper
2. Use of Remotely Measured Potato Canopy Characteristics As Indirect Yield Estimators Prediction of potato yield before harvest is important for making agronomic and marketing decisions. Active optical sensors (AOS) are rarely used together with other hand-held instruments for monitoring potato growth, including yield prediction. The aim of the research was to determine the relationship between manually and remotely measured potato crop characteristics throughout the growing season and yield in commercial potato fields. Objective was also to identify crop characteristics that most... S.M. Samborski, J. Szatylowicz, T. Gnatowski, R. Leszczyńska, M. Thornton, O. Walsh Download paper
3. The Relationship Between Vegetation Indices Derived from UAV Imagery and Maturity Class in Potato Breeding Trials In potato breeding, maturity class (MC) is a crucial selection criterion because this is a critical aspect of commercial potato production. Currently, the classification of potato genotypes into MCs is done visually, which is time- and labor-consuming. Unmanned aerial vehicles (UAVs) equipped with sensors can acquire images with high spatial and temporal resolution. The objectives of this study were to 1) establish the relationship between vegetation indices (VIs) derived from UAV imagery at three... S.M. Samborski, U. Torres, R. Leszczyńska, A. Bech, M. Bagavathiannan Download paper

Filter results3 paper(s) found.

1. Multispectral Imaging and Elevation Mapping from an Unmanned Aerial System for Precision Agriculture Applications

As the world population continues to grow, the need for efficient agricultural production becomes more pressing. The majority of farmers still use manual techniques (e.g. visual inspection) to assess the status of their crops, which is tedious and subjective. This paper examines an operational and analytical workflow to incorporate unmanned aerial systems (UAS) into the process of surveying and assessing crop health. The proposed system has the potential to significantly reduce... C. Lum, M. Dunbabin, C. Shaw-feather, M. Mackenzie, E. Luker

Download paper

2. Use of Remotely Measured Potato Canopy Characteristics As Indirect Yield Estimators

Prediction of potato yield before harvest is important for making agronomic and marketing decisions. Active optical sensors (AOS) are rarely used together with other hand-held instruments for monitoring potato growth, including yield prediction. The aim of the research was to determine the relationship between manually and remotely measured potato crop characteristics throughout the growing season and yield in commercial potato fields. Objective was also to identify crop characteristics that most... S.M. Samborski, J. Szatylowicz, T. Gnatowski, R. Leszczyńska, M. Thornton, O. Walsh

Download paper

3. The Relationship Between Vegetation Indices Derived from UAV Imagery and Maturity Class in Potato Breeding Trials

In potato breeding, maturity class (MC) is a crucial selection criterion because this is a critical aspect of commercial potato production. Currently, the classification of potato genotypes into MCs is done visually, which is time- and labor-consuming. Unmanned aerial vehicles (UAVs) equipped with sensors can acquire images with high spatial and temporal resolution. The objectives of this study were to 1) establish the relationship between vegetation indices (VIs) derived from UAV imagery at three... S.M. Samborski, U. Torres, R. Leszczyńska, A. Bech, M. Bagavathiannan

Download paper