Proceedings :: International Society of Precision Agriculture

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Skerikova, M

Conley, M.M

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Authors

Thorp, K.R

White, J.W

Conley, M.M

Mon, J

Bronson, K.F

Kroulik, M

Brant, V

Zabransky, P

Chyba, J

Krcek, V

Skerikova, M

Topics

Proximal Sensing in Precision Agriculture

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

Type

Oral

Year

2014

2018

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Filter results2 paper(s) found.
1. Use Of Active Radiometers To Estimate Biomass, Leaf Area Index, And Plant Height In Cotton Active radiometers have been tested extensively as tools to assess in-season nitrogen (N) status of crops like wheat (Triticum aestivum), corn (Zea mays), and cotton (Gossypium hirsutum). Fewer studies target in-season plant growth parameters such as biomass, plant height or leaf area index (LAI). Uses of this plant data include simulation modeling, total N uptake measurements, evapotranspiration (ET) estimates and irrigation... K.R. Thorp, J.W. White, M.M. Conley, J. Mon, K.F. Bronson Download paper
2. Machine Monitoring As a Smartfarming Concept Tool Current development trends are associated with the digitization of production processes and the interconnection of individual information layers from multiple sources into common databases, contexts and functionalities. In order to automatic data collection of machine operating data, the farm tractors were equipped with monitoring units ITineris for continuous collection and transmission of information from tractors CAN Bus. All data sets are completed with GPS location data. Acreage... M. Kroulik, V. Brant, P. Zabransky, J. Chyba, V. Krcek, M. Skerikova Download paper

Filter results2 paper(s) found.

1. Use Of Active Radiometers To Estimate Biomass, Leaf Area Index, And Plant Height In Cotton

Active radiometers have been tested extensively as tools to assess in-season nitrogen (N) status of crops like wheat (Triticum aestivum), corn (Zea mays), and cotton (Gossypium hirsutum). Fewer studies target in-season plant growth parameters such as biomass, plant height or leaf area index (LAI). Uses of this plant data include simulation modeling, total N uptake measurements, evapotranspiration (ET) estimates and irrigation... K.R. Thorp, J.W. White, M.M. Conley, J. Mon, K.F. Bronson

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2. Machine Monitoring As a Smartfarming Concept Tool

Current development trends are associated with the digitization of production processes and the interconnection of individual information layers from multiple sources into common databases, contexts and functionalities. In order to automatic data collection of machine operating data, the farm tractors were equipped with monitoring units ITineris for continuous collection and transmission of information from tractors CAN Bus. All data sets are completed with GPS location data. Acreage... M. Kroulik, V. Brant, P. Zabransky, J. Chyba, V. Krcek, M. Skerikova

Download paper