Proceedings :: International Society of Precision Agriculture

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Zoran, C

Lee, K

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Authors

Marine, L

Manon, M

Claire, G

Laurent, P

Mostafa, F

Zoran, C

Naima, B

Sébastien, D

Olivier, G

Lee, K

Sudduth, K.A

Zhou, J

Topics

Sensor Application in Managing In-season Crop Variability

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

Type

Poster

Oral

Year

2012

2022

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Filter results2 paper(s) found.
1. Using Multiplex® to Manage Nitrogen Variability in Champagne Vineyard ... L. Marine, M. Manon, G. Claire, P. Laurent, F. Mostafa, C. Zoran, B. Naima, D. Sébastien, G. Olivier Download paper
2. Hay Yield Estimation Using UAV-based Imagery and a Convolutional Neural Network Yield monitoring systems are widely used commercially in grain crops to map yields at a scale of a few meters. However, such high-resolution yield monitoring and mapping for hay and forage crops has not been commercialized. Most commercial hay yield monitoring systems only obtain the weight of individual bales, making it difficult to map and understand the spatial variability in hay yield. This study investigated the feasibility of an unmanned aerial vehicle (UAV)-based remote sensing system for... K. Lee, K.A. Sudduth, J. Zhou Download paper

Filter results2 paper(s) found.

1. Using Multiplex® to Manage Nitrogen Variability in Champagne Vineyard

... L. Marine, M. Manon, G. Claire, P. Laurent, F. Mostafa, C. Zoran, B. Naima, D. Sébastien, G. Olivier

Download paper

2. Hay Yield Estimation Using UAV-based Imagery and a Convolutional Neural Network

Yield monitoring systems are widely used commercially in grain crops to map yields at a scale of a few meters. However, such high-resolution yield monitoring and mapping for hay and forage crops has not been commercialized. Most commercial hay yield monitoring systems only obtain the weight of individual bales, making it difficult to map and understand the spatial variability in hay yield. This study investigated the feasibility of an unmanned aerial vehicle (UAV)-based remote sensing system for... K. Lee, K.A. Sudduth, J. Zhou

Download paper