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Kolln, O.T
Kumar, R
Krum, J
Krivanek, Z
Kemanian, A.R
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Authors
Kumar, R
Rice, K
Carson, T
Krum, J
Flitcroft, I
Cline, V
Carrow, R
Charvat, K
Jezek, J
Musil, M
Krivanek, Z
Gnip, P
Kemanian, A.R
Huggins, D.R
Uberuaga, D.P
Graziano Magalhães, P.S
Sanches, G.M
Kolln, O.T
Franco, H.C
Braunbeck, O.A
Driemeier, C
Topics
Global Proliferation of Precision Agriculture and its Applications
Spatial Variability in Crop, Soil and Natural Resources
Sensor Application in Managing In-season Crop Variability
Precision Carbon Management
Spatial Variability in Crop, Soil and Natural Resources
Type
Oral
Year
2010
2014
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Filter results5 paper(s) found.

1. Road Map For Precision Agriculture In The Punjab, North-west India

Agricultural experimentation is both expensive and time consuming. It is necessary to reduce site-specific research and capitalize on the agricultural experience gained elsewhere by using soil maps and GIS-GPS (Geographic Information System - Global Positioning System) technology. Since in an agro-eco-subregion, soils in the same family require essentially the same management practices, maximum production results obtained in one soil family can be used as production targets for all soils belonging... R. Kumar

2. Spatial Mapping Of Penetrometer Resistance On Turfgrass Soils For Site-specific Cultivation

Site-specific management requires site-specific information.  Soil compaction at field capacity is a major stress on recreational turfgrass sites that requires frequent cultivation. Spatial mapping of penetrometer... K. Rice, T. Carson, J. Krum, I. Flitcroft, V. Cline, R. Carrow

3. Vlite Node – New Sensor Technology For Precision Farming

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

4. Modeling Soil Carbon Spatial Variation: Case Study In The Palouse Region

Soil organic carbon (Cs) levels in the soil profile reflect the transient state or equilibrium conditions determined by organic carbon inputs and outputs. In areas with strong topography, erosion, transport and deposition control de soil carbon balance and determine strong within-field differences in soil carbon. Carbon gains or losses are therefore difficult to predict for the average field. Total Cs ranged from 54 to 272 Mg C ha-1, with 42% (range 25 to 78%) of Cs in the top 0.3-m of the soil... A.R. Kemanian, D.R. Huggins, D.P. Uberuaga

5. Precision Agriculture In Sugarcane Production. A Key Tool To Understand Its Variability.

Precision agriculture (PA) for sugarcane represents an important tool to manage local application of fertilizers, mainly because sugarcane is third in fertilizer consumption among Brazilian crops, after soybean and corn. Among the limiting factors detected for PA adoption in the sugarcane industry, one could mention the cropping system complexity, data handling costs, and lack of appropriate decision support systems. The objective of our research group has... P.S. Graziano Magalhães, G.M. Sanches, O.T. Kolln, H.C. Franco, O.A. Braunbeck, C. Driemeier