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Kukal, S

Journaux, L

Kelley, A

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Authors

Cointault, F

Marin, A

Journaux, L

Miteran, J

Martin, R

Kukal, S

Vellidis, G

Wieland, S

Kelley, A

Topics

Modeling and Geo-statistics

Decision Support Systems

Industry Sponsors

Type

Oral

Poster

Year

2010

2022

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Filter results3 paper(s) found.
1. Wheat Growth Stages Discrimination Using Generalized Fourier Descriptors In Pattern Recognition Context ... F. Cointault, A. Marin, L. Journaux, J. Miteran, R. Martin Download paper
2. Developing a neural-network model for detecting Aflatoxin hotspots in peanut fields Aflatoxin is a carcinogenic toxin produced by a soilborne fungi, called Aspergillus flavus, causing a difficult struggle for the peanut industry in terms of produce quality, price and the range of selling market. This study aims to develop a successful U-Net CNN (Convolutional Neural Network) model, a reliable image segmentation method, that will help in distinguishing high probability zones of occurrence of Aflatoxin in peanut fields using remotely sensed hyperspectral imagery. The research was... S. Kukal, G. Vellidis Download paper
3. EarthScout, GBC EarthScout is a precision remote sensor technology that provides farmers and researchers with reliable data in real time, straight from your field to your desktop and mobile devices. In season data allows users to access current conditions for smarter decision making in irrigation and nitrogen management. EarthScout is a crop agnostic tool that is used in any soil type and climate. Our plug and play field sensors need no calibration and set up only takes about 5 minutes. There are no data subscription... S. Wieland, A. Kelley

Filter results3 paper(s) found.

1. Wheat Growth Stages Discrimination Using Generalized Fourier Descriptors In Pattern Recognition Context

... F. Cointault, A. Marin, L. Journaux, J. Miteran, R. Martin

Download paper

2. Developing a neural-network model for detecting Aflatoxin hotspots in peanut fields

Aflatoxin is a carcinogenic toxin produced by a soilborne fungi, called Aspergillus flavus, causing a difficult struggle for the peanut industry in terms of produce quality, price and the range of selling market. This study aims to develop a successful U-Net CNN (Convolutional Neural Network) model, a reliable image segmentation method, that will help in distinguishing high probability zones of occurrence of Aflatoxin in peanut fields using remotely sensed hyperspectral imagery. The research was... S. Kukal, G. Vellidis

Download paper

3. EarthScout, GBC

EarthScout is a precision remote sensor technology that provides farmers and researchers with reliable data in real time, straight from your field to your desktop and mobile devices. In season data allows users to access current conditions for smarter decision making in irrigation and nitrogen management. EarthScout is a crop agnostic tool that is used in any soil type and climate. Our plug and play field sensors need no calibration and set up only takes about 5 minutes. There are no data subscription... S. Wieland, A. Kelley