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Information Management and Traceability
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Authors
Ashley, R
Colaço, A.F
Du, X
Griffin, T
Hao, L
Hirakawa, A.R
Ji, Z
Junior, C.S
Kitchen, N.R
Li, M
Li, W
Molin, J.P
Myers, D.B
Nowatzki, J
Qian, J
Qu, L
Rosa, H.J
Sudduth, K.A
Sun, C
Wu, T
Xie, J
Yang, X
Zhao, L
Zhou, C
Topics
Information Management and Traceability
Type
Poster
Year
2012
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Filter results6 paper(s) found.

1. Using Electronic Technology to Remotely Monitor Conditions, Transfer the Data, and Display Data Real-time on the Internet

This session describes the use of electronic equipment to monitor soil temperature and moisture, air temperature, relative humidity, wind speed, solar radiation, leaf wetness, and rainfall. Presenter will explain how to use the equipment to monitor conditions, transfer the data, and display the information in real-time on the I... R. Ashley, J. Nowatzki

2. A Model to Analyze “As-Applied” Reports of Variable Rate Applications

Variable rate technology enables users to access crop inputs such as fertilizers and pesticides, based on site specific information. This technology combines a variable rate control system, positioning system and GIS software to enable variable rate application. During operation some of these systems report information (“as-applied” files) about target rates and actual applied rates on georeferenced points along the ... A.F. Colaço, H.J. Rosa, J.P. Molin

3. Ontology for Data Representation in the Production of Cotton Fiber in Brazil

... C.S. Junior, A.R. Hirakawa

4. Towards a Multi-Source Record Keeping System for Agricultural Product Traceability

Agricultural production record keeping is the basis of traceability system. To resolve the problem including single method of information acquisition, weak ability of real-time monitoring and low credibility of history information in agricultural production process, t... C. Sun, Z. Ji, J. Qian, M. Li, L. Zhao, W. Li, C. Zhou, X. Du, J. Xie, T. Wu, L. Qu, L. Hao, X. Yang

5. Issues in Analysis of Soil-Landscape Effects in a Large Regional Yield Map Collection

     Yield maps are commonly collected by producers and precision-agriculture service providers and are accumulating in warehouse scale data-stores. A key goal in analysis of yield maps is to understand how climate interacts with soil landscapes to cause spatial and temporal variability in grain yield. However, there are many issues that limit utilization of yield map data for this purpose including: i) yield-landscape inversion between climate yea... N.R. Kitchen, K.A. Sudduth, D.B. Myers

6. Aggregating Precision Agriculture Data Across Regions

The analysis of precision agricultural data has largely focused on one field at a time and to a lesser extent to one individual farm. Recent developments have allowed those with access to data from across large regions to realize additional value by pooled community analysis of precision agriculture data.  Pool data analysis has provided greater value to individual farms than they would have gained by only using their own farm-level data. Statistical, economic, and risk methodologie... T. Griffin