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You Fu, E

Wang, Y

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Authors

You Fu, E

Wang, Y

Balmos, A

Krogmeier, J

Buckmaster, D

Krogmeier, J

Buckmaster, D

Ault, A

Wang, Y

Zhang, Y

Layton, A

Noel, S

Balmos, A

Topics

Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change, Standards)

Big Data, Data Mining and Deep Learning

Profitability and Success Stories in Precision Agriculture

Type

Oral

Poster

Year

2014

2018

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Filter results3 paper(s) found.
1. The Central China Agricultural High-Tech Industry Development Zone This is a presentation on precision ag opportunities in China. ... E. You fu
2. Data-Driven Agricultural Machinery Activity Anomaly Detection and Classification In modern agriculture, machinery has become the one of the necessities in providing safe, effective and economical farming operations and logistics. In a typical farming operation, different machines perform different tasks, and sometimes are used together for collaborative work. In such cases, different machines are associated with representative activity patterns, for example, in a harvest scenario, combines move through a field following regular swaths while grain carts follow irregular paths... Y. Wang, A. Balmos, J. Krogmeier, D. Buckmaster Download paper
3. Use Cases for Real Time Data in Agriculture Agricultural data of many types (yield, weather, soil moisture, field operations, topography, etc.) comes in varied geospatial aggregation levels and time increments. For much of this data, consumption and utilization is not time sensitive. For other data elements, time is of the essence. We hypothesize that better quality data (for those later analyses) will also follow from real-time presentation and application of data for it is during the time that data is being collected that errors can be... J. Krogmeier, D. Buckmaster, A. Ault, Y. Wang, Y. Zhang, A. Layton, S. Noel, A. Balmos Download paper

Filter results3 paper(s) found.

1. The Central China Agricultural High-Tech Industry Development Zone

This is a presentation on precision ag opportunities in China. ... E. You fu

2. Data-Driven Agricultural Machinery Activity Anomaly Detection and Classification

In modern agriculture, machinery has become the one of the necessities in providing safe, effective and economical farming operations and logistics. In a typical farming operation, different machines perform different tasks, and sometimes are used together for collaborative work. In such cases, different machines are associated with representative activity patterns, for example, in a harvest scenario, combines move through a field following regular swaths while grain carts follow irregular paths... Y. Wang, A. Balmos, J. Krogmeier, D. Buckmaster

Download paper

3. Use Cases for Real Time Data in Agriculture

Agricultural data of many types (yield, weather, soil moisture, field operations, topography, etc.) comes in varied geospatial aggregation levels and time increments. For much of this data, consumption and utilization is not time sensitive. For other data elements, time is of the essence. We hypothesize that better quality data (for those later analyses) will also follow from real-time presentation and application of data for it is during the time that data is being collected that errors can be... J. Krogmeier, D. Buckmaster, A. Ault, Y. Wang, Y. Zhang, A. Layton, S. Noel, A. Balmos

Download paper