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Bazzi, C.L
Barnes, W
Burris, E
Madramootoo, C
Morgan, S
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Authors
Bazzi, C.L
Souza, E.G
Khosla, R
Reich, R.M
Bazzi, C.L
Souza, E.G
Nobrega, L.H
Uribe-Opazo, M.A
Rocha, D.M
Bazzi, C.L
Souza, E.G
Stiehl, D
Souza, E.G
Bazzi, C.L
Uribe-Opazo, M.A
Amakor, X
Jacobson, A.R
Cardon, G.E
Hawks, A
Barnes, W
Burris, E
Burns, D
McCarter, K.S
Overstreet, C
Wolcott, M
Lai, C
Min, C
Chiang, R
Hafferman, A
Morgan, S
Yari, A
Madramootoo, C
Woods, S.A
Adamchuk, V.I
Gilbert, L
Adamchuk, V
Debbagh, M
Madramootoo, C
Whalen, J
Topics
Precision Nutrient Management
Modeling and Geo-statistics
Profitability, Sustainability, and Adoption
Remote Sensing Applications in Precision Agriculture
Spatial and Temporal Variability in Crop, Soil and Natural Resources
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Drainage Optimization and Variable Rate Irrigation
Wireless Sensor Networks
Type
Poster
Oral
Year
2012
2010
2008
2018
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Filter results9 paper(s) found.

1. A Statistical and an Agronomic Approach for Definition of Management Zones in Corn and Soybean

The use of productivity level management zones (MZ) has demonstrated good potential for the site-specific management of crop inputs in traditional row crops. The objectives of this research were to analyze the process of defining MZs and develop methods to evaluate the quality of MZ maps. Two approaches were used to select the layers to be used in the MZ definition: 1) Statistical Approach (SA_MZ) and 2) Agronomic Approach (AA_MZ). The difference is that in the AA_MZ approach all non stable variables... C.L. Bazzi, E.G. Souza, R. Khosla, R.M. Reich

2. Use of Chemical and Physical Attributes Of the Soil in Management Units Definition

Several equipments and methodologies have been developed to make available precision agriculture, especially the high cost of its implantation and sampling. An interesting possibility... C.L. Bazzi, E.G. Souza, L.H. Nobrega, M.A. Uribe-opazo, D.M. Rocha

3. Smoothness Index Of Thematic Maps

A thematic map shows the spatial distribution of one or more specific data themes for standard geographic areas. The thematic maps are generated to represent the studied variables, so interpolators are used to determine their values in places not sampled. It is usually... C.L. Bazzi, E.G. Souza, D. Stiehl

4. Thematic And Profitability Maps For Precision Agriculture

Yield maps became economically feasible to farmers with the technological advances in precision agriculture. The evidence of its profitability, however, is still unknown and, rarely, yield variability has been correlated to profitable variability. Differently from... E.G. Souza, C.L. Bazzi, M.A. Uribe-opazo

5. Apparent Electrical Conductivity Calibration In Semiarid Soils: Ion-pair Correction

The electromagnetic induction sensor (EM38DD) is a field proven portable sensor for rapid measurement of the apparent electrical conductivity (ECa) of soils. Calibration with the electrical conductivity of saturation paste extracts is the most widely used method to correlate ECa with the effective electrical conductivity (ECe). A drawback of this method is the formation of ion pairs in the high ionic strength saturated paste extracts, which effectively decreases the measured ECe, leading to the... X. Amakor, A.R. Jacobson, G.E. Cardon, A. Hawks, W. Barnes

6. Evaluation of the Effects of Telone Ii on Nitrogen Management and Yield in Louisiana Delta Cotton

Research indicates that cotton yield on light soils within the alluvial flood plain of the Lower Mississippi delta may be increased by using chemical fumigation applications of Telone II and/or seed treatments to control infestations of plant parasitic nematodes. There is a documented interaction with fumigation and nitrogen and therefore a need to further understand the performance of site- specific treatment strategies for nitrogen (N) and fumigation treatments. In a small plot test conducted... E. Burris, D. Burns, K.S. Mccarter, C. Overstreet, M. Wolcott

7. Precision Agriculture Research Infrastructure for Sustainable Farming

Precision agriculture is an emerging area at the intersection of engineering and agriculture, with the goal of intelligently managing crops at a microscale to maximize yield while minimizing necessary resource. Achieving these goals requires sensors and systems with predictive models to constantly monitor crop and environment status. Large datasets from various sensors are critical in developing predictive models which can optimally manage necessary resources. Initial experiments at University... C. Lai, C. Min, R. Chiang, A. Hafferman, S. Morgan

8. Application of Variable-Rate Irrigation for Potato Productivity

Variable-rate irrigation (VRI) has the potential to increase yields and reduce water consumption and energy costs. Spatial and temporal variability of soil and field properties can impact the efficiency of irrigation and crop yield. The VRI technology allows for the precise application of irrigation to meet crop water demands in controlled amounts prescribed for specific management zones within a field. Sensitivity to over and under-irrigation and the high-water requirements of potato make the... A. Yari, C. Madramootoo, S.A. Woods, V.I. Adamchuk, L. Gilbert

9. Development of a Wireless Sensor Network for Passive in situ Measurement of Soil CO2 Gas Emissions in the Agriculture Landscape

Quantification of soil Greenhouse Gas (GHG) emissions from agricultural fields is essential for understanding the environmental impact of intensive crop and livestock production systems. Current methods of analysis include flux calculations derived from the concentration of gases (CO2, N2O, CH4) exchanged between soil and the atmosphere. Samples of these GHG are obtained manually by closed non-steady state non-flow through,or “static”, chambers and analyzed ex situvia gas... V. Adamchuk, M. Debbagh, C. Madramootoo, J. Whalen