Proceedings :: International Society of Precision Agriculture

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Rasooli Sharabian, V

Jones, E.J

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Authors

Han-ya, I

Ishii, K

Noguchi, N

Rasooli Sharabian, V

Filippi, P

Jones, E.J

Fajardo, M

Whelan, B.M

Bishop, T.F

Topics

Remote Sensing Applications in Precision Agriculture

Big Data, Data Mining and Deep Learning

Type

Poster

Oral

Year

2012

2018

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Filter results2 paper(s) found.
1. Appropriate Wavelengths for Winter Wheat Growth Status Based On Multi-Spectral Crop Reflectance Data One of the applications of remote sensing in agriculture is to obtain crop status for estimation and management of variable rate of inputs in the crop production. In order to select the appropriate wavelengths related... I. Han-ya, K. Ishii, N. Noguchi, V. Rasooli sharabian Download paper
2. Forecasting Crop Yield Using Multi-Layered, Whole-Farm Data Sets and Machine Learning The ultimate goal of Precision Agriculture is to improve decision making in the business of farming. Many broadacre farmers now have a number of years of crop yield data for their fields which are often augmented with additional spatial data, such as apparent soil electrical conductivity (ECa), soil gamma radiometrics, terrain attributes and soil sample information. In addition there are now freely available public datasets, such as rainfall, digital soil maps and archives of satellite remote... P. Filippi, E.J. Jones, M. Fajardo, B.M. Whelan, T.F. Bishop Download paper

Filter results2 paper(s) found.

1. Appropriate Wavelengths for Winter Wheat Growth Status Based On Multi-Spectral Crop Reflectance Data

One of the applications of remote sensing in agriculture is to obtain crop status for estimation and management of variable rate of inputs in the crop production. In order to select the appropriate wavelengths related... I. Han-ya, K. Ishii, N. Noguchi, V. Rasooli sharabian

Download paper

2. Forecasting Crop Yield Using Multi-Layered, Whole-Farm Data Sets and Machine Learning

The ultimate goal of Precision Agriculture is to improve decision making in the business of farming. Many broadacre farmers now have a number of years of crop yield data for their fields which are often augmented with additional spatial data, such as apparent soil electrical conductivity (ECa), soil gamma radiometrics, terrain attributes and soil sample information. In addition there are now freely available public datasets, such as rainfall, digital soil maps and archives of satellite remote... P. Filippi, E.J. Jones, M. Fajardo, B.M. Whelan, T.F. Bishop

Download paper