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Hand, K.J

Isaksson, T

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Authors

Isaksson, T

Korsaeth, A

Øvergaard, S

Hand, K.J

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. Remote NIR-Sensor Fusion with Weather Data for Improved Prediction of Wheat Yield Models Prediction models for grain yield based on remote sensing data are commonly shown to perform reasonably well for one single cropping season. The model performances often drop, however, when data from more years is included. This may be caused by biased data, resulting from diverging growth conditions from year to year, which affects... T. Isaksson, A. Korsaeth, S. Øvergaard Download paper
2. Digital Transformation of Canadian Agri-Food Agriculture in Canada is on the cusp of a dramatic revolution as a result of the digital transformation of the industry driven by the emergence of tools such as Precision Agri-Food Technologies and the Internet of Things (IoT, a network of interconnected physical devices capable of connecting to the internet). With the expected exponential growth of data from the application of innovative technologies such as IoT by the Canadian Agri-Food industry, Canada has the potential to gain valuable insights... K.J. Hand Download paper

Filter results2 paper(s) found.

1. Remote NIR-Sensor Fusion with Weather Data for Improved Prediction of Wheat Yield Models

Prediction models for grain yield based on remote sensing data are commonly shown to perform reasonably well for one single cropping season. The model performances often drop, however, when data from more years is included. This may be caused by biased data, resulting from diverging growth conditions from year to year, which affects... T. Isaksson, A. Korsaeth, S. Øvergaard

Download paper

2. Digital Transformation of Canadian Agri-Food

Agriculture in Canada is on the cusp of a dramatic revolution as a result of the digital transformation of the industry driven by the emergence of tools such as Precision Agri-Food Technologies and the Internet of Things (IoT, a network of interconnected physical devices capable of connecting to the internet). With the expected exponential growth of data from the application of innovative technologies such as IoT by the Canadian Agri-Food industry, Canada has the potential to gain valuable insights... K.J. Hand

Download paper