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Kirkpatrick, T
Yule, I.J
Marcassa, L.G
Kim, D
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Authors
Khalilian, A
Henderson, W
Mueller, J
Kirkpatrick, T
Monfort, S
Overstreet, C
Moon, J
Kim, S
Lee, J
Yang, W
Kim, D
Cushnahan, M.Z
Yule, I.J
Wood, B.A
Wilson, R
Lins, E.C
Belasque Junior, J
Marcassa, L.G
Topics
Spatial Variability in Crop, Soil and Natural Resources
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change, Standards)
Big Data Mining & Statistical Issues in Precision Agriculture
Precision Horticulture
Type
Oral
Poster
Year
2010
2014
2016
2008
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Filter results4 paper(s) found.

1. Development Of A System For Site-specific Nematicide Placement In Cotton

Nematode distribution varies significantly in cotton fields. Population density throughout a field is highly correlated to soil texture. Field-wide application of a uniform nematicide rate results in the chemical being applied to areas without nematodes or where nematode densities are below an economic threshold, or the application of sub-effective levels in areas with high nematode densities. The investigators have developed a “Site- Specific Nematicide Placement”... A. Khalilian, W. Henderson, J. Mueller, T. Kirkpatrick, S. Monfort, C. Overstreet

2. A Study On Diagnostic System Based On ISOAgLIB For Agricultural Vehicles

  Nowadays the growth of the embedded electronics and communications has demanded the development of applications in agricultural machinery in Korean agroindustry. The root reason is that most of agricultural machineries produced in Korea does not apply international standard. Therefore, the incompatibility problem between hardware, software and data formats has become a major obstacle for exporting agricultural products made by Korea to the world. In... J. Moon, S. Kim, J. Lee, W. Yang, D. Kim

3. Surplus Science and a Non-linear Model for the Development of Precision Agriculture Technology

The advent of ‘big data technologies’ such as hyperspectral imaging means that Precision Agriculture (PA) developers now have access to superabundant and highly  heterogeneous data.  The authors explore the limitations of the classic science model in this situation and propose a new non-linear process that is not based on the premise of controlled data scarcity. The study followed a science team tasked with developing highly advanced hyperspectral techniques for a ‘low... M.Z. Cushnahan, I.J. Yule, B.A. Wood, R. Wilson

4. Detection of Citrus Canker in Orange Plantation Using Fluorescence Spectroscopy

Citrus canker is a serious disease, caused by Xanthomonas axonopodis pv. Citri bacteria, which infects orange trees (Citrus aurantium L.), leading to a large economic loss in the orange juice production. Brazil produces 50% of the industrialized orange juice in the world. Therefore, the early detection and control of such disease is important for Brazilian economy. However this task is very hard and so far it has been done by naked eye inspection of each tree. Our goal is to... E.C. Lins, J. Belasque junior, L.G. Marcassa