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Kechadi, M
Stelford, M
Zhou, C
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Authors
Sun, C
Ji, Z
Qian, J
Li, M
Zhao, L
Li, W
Zhou, C
Du, X
Xie, J
Wu, T
Qu, L
Hao, L
Yang, X
Stelford, M
Ngo, V.M
Le-Khac, N
Kechadi, M
Stelford, M
Krmenec, A
Topics
Information Management and Traceability
Precision A to Z for Practitioners
Big Data, Data Mining and Deep Learning
On Farm Experimentation with Site-Specific Technologies
Type
Poster
Oral
Year
2012
2018
2022
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Filter results4 paper(s) found.

1. 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, the... 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

2. John Deere FarmSight™

Agriculture has had several revolutions in the past century, and it currently faces what may be its greatest challenge to date – population growth and the increased need for food, fiber, and fuel in the future.  To meet this challenge the agricultural industry will have to drive efficiencies to a level never seen before, within a context of several macro trends (e.g., farm sizes increasing, environmental sustainability requirements evolving).  John Deere FarmSightTM... M. Stelford

3. An Efficient Data Warehouse for Crop Yield Prediction

Nowadays, precision agriculture combined with modern information and communications technologies, is becoming more common in agricultural activities such as automated irrigation systems, precision planting, variable rate applications of nutrients and pesticides, and agricultural decision support systems. In the latter, crop management data analysis, based on machine learning and data mining, focuses mainly on how to efficiently forecast and improve crop yield. In recent years, raw and semi-processed... V.M. Ngo, N. Le-khac, M. Kechadi

4. Use of Precision Technologies to Conduct Successful Within-field, On-farm Trials

Performing randomized replicated trials in row crop field environments has the potential to increase crop production in environmentally sustainable ways.  Successful implementation requires an understanding of implement capabilities and sources of potential systematic error, including operator error.  Equipment capabilities can be thought of as a series of several critical “links in a chain,” each with implications that propagate downstream.   We will... M. Stelford, A. Krmenec