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Zebarth, B
Guo, J
Kim, S
Gnip, P
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Authors
Xu, G
Chen, L
Zhang, R
Guo, J
Wang, Y
Guo, J
Chen, L
wang, X
Zhang, R
Zotarelli, L
Zhang, R
Chen, L
Guo, J
Warren, J.G
Warren, J.G
Charvat, K
Gnip, P
Charvat, K
Cepicky, J
Gnip, P
Charvat, K
Jezek, J
Musil, M
Krivanek, Z
Gnip, P
Gnip, P
Moon, J
Kim, S
Lee, J
Yang, W
Kim, D
Zebarth, B
Goyer, C
Neupane, S
Li, S
Mills, A
Whitney, S
Cambouris, A
Perron, I
Biswas, A
Ji, W
Perron, I
Cambouris, A
Zebarth, B
Adamchuk, V
Cambouris, A
Perron, I
Zebarth, B
Vargas, F
Chokmani, K
Biswas, A
Adamchuk, V
Topics
Engineering Technologies and Advances
Precision Nutrient Management
Profitability, Sustainability, and Adoption
Optimizing Farm-level use of Spatial Technologies
Sensor Application in Managing In-season Crop Variability
Information Management and Traceability
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change, Standards)
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Type
Poster
Oral
Year
2010
2014
2018
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Filter results11 paper(s) found.

1. Study On Application Of Wireless Sensor Networks For Precision Agriculture

  Abstract: The use of sensor network to achieve soil moisture real-time detection can provide the decision-making basis for precision agriculture. In this... G. Xu, L. Chen, R. Zhang, J. Guo, Y. Wang

2. The Effect Of Variable-Rate Fertilizer Nitrogen Decision-Making On Winter Wheat

Precision ... J. Guo, L. Chen, X. Wang, R. Zhang, L. Zotarelli

3. Energy-efficient Wireless Sensor Network System For Soil Moisture Information Collecting

Collecting field soil moisture information is the foundation of auto-irrigation. This paper introduced a soil moisture information collecting system based on wireless sensor network (WSN) technology and with application background of automatic drip irrigation for cotton field. Firstly, application background was analyzed and application requirement was defined. The system worked together with a drip irrigation system in cotton field. After study, it was found that the output of soil moisture sensor... R. Zhang, L. Chen, J. Guo, J.G. Warren, J.G. Warren

4. Vision Of Farm Of Tomorrow

... K. Charvat, P. Gnip

5. New Geospatial Technologies For Precision Farming

... K. Charvat, J. Cepicky, P. Gnip

6. Vlite Node – New Sensor Technology For Precision Farming

... K. Charvat, J. Jezek, M. Musil, Z. Krivanek, P. Gnip

7. Analysis Of Principles For Adaptive Knowledge Management On Pilot Farms

Collected data, which are used in this research, are coming from several different data sources and time periods (soil test, satellite images, airborne pictures, soil type’s maps, yield predictions maps and other agronomist data).  According to above mentioned data was calculate also variable rate for application of Nitrogen, Potash, Phosphor and Calcium and applied time table during the 10 years period. Main goal of this... P. Gnip

8. 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

9. Soil Microbial Communities Have Distinct Spatial Patterns in Agricultural Fields

Soil microbial communities mediate many important soil processes in agricultural fields, however their spatial distribution at distances relevant to precision agriculture is poorly understood. This study examined the soil physico-chemical properties and topographic features controlling the spatial distribution of soil microbial communities in a commercial potato field in eastern Canada using next generation sequencing. Soil was collected from a transect (1100 m) with 83 sampling points in a landscape... B. Zebarth, C. Goyer, S. Neupane, S. Li, A. Mills, S. Whitney, A. Cambouris, I. Perron

10. Proximal Soil Sensing-Led Management Zone Delineation for Potato Fields

A fundamental aspect of precision agriculture or site-specific crop management is the ability to recognize and address local changes in the crop production environment (e.g. soil) within the boundaries of a traditional management unit. However, the status quo approach to define local fertilizer need relies on systematic soil sampling followed by time and labour-intensive laboratory analysis. Proximal soil sensing offers numerous advantages over conventional soil characterization and has shown... A. Biswas, W. Ji, I. Perron, A. Cambouris, B. Zebarth, V. Adamchuk

11. Delineation of Soil Management Zones: Comparison of Three Proximal Soil Sensor Systems Under Commercial Potato Field in Eastern Canada.

Precision agriculture (PA) involves optimization of seeding, fertilizer application, irrigation, and pesticide use to optimize crop production for the purpose of increasing grower revenue and protecting the environment. Potato crops (Solanum tuberosum L.) are recognized as good candidates for the adoption of PA because of the high cost of inputs. In addition, the sensitivity of potato yield and quality to crop management and environmental conditions makes precision management economically... A. Cambouris, I. Perron, B. Zebarth, F. Vargas, K. Chokmani, A. Biswas, V. Adamchuk