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Dong, J
Delwiche, M
Mueller, T
Zhou, R.R
Gnatowski, T
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Authors
Mueller, T
Mueller, T
Corá, J
Castrignanò, A
Rodrigues, M
Rienzi, E
Mueller, T
Gianello, E
Mijatovic, B
Rienzi, E
Rodrigues, M
Mueller, T
Matocha, C
Sikora, F
Mijatovic, B
Rienzi, E
Damerow, L.M
Blanke, M.M
Zhou, R.R
Mueller, T
Rojo, F
Roach, J
Coates, R
Upadhyaya, S
Delwiche, M
Han, C
Dhillon, R
Mueller, T
Neelakantan, S
Helmers, M
Dosskey, M
Wang, C
Chen, T
Dong, J
Li, C
Sassenrath, G.F
Mueller, T
Alarcon, V.J
Kulesza, S.E
Shoup, D
Samborski, S.M
Szatylowicz, J
Gnatowski, T
Leszczyńska, R
Thornton, M
Walsh, O
Topics
Precision Conservation and Carbon Management
Spatial Variability in Crop, Soil and Natural Resources
Precision Horticulture
Proximal Sensing in Precision Agriculture
Precision Conservation Management
Spatial Variability in Crop, Soil and Natural Resources
Spatial Variability in Crop, Soil and Natural Resources
On Farm Experimentation with Site-Specific Technologies
Type
Poster
Oral
Year
2012
2014
2016
2022
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Authors

Filter results11 paper(s) found.

1. Cloud Computing and Web 2.0 Mapping Technologies for Disseminating Land Use Planning Information

Open source software and cloud computing techniques could substantially improve the performance and reduce the cost of disseminating land-use planning information for the USDA-NRCS and other organizations. This is a major upgrade of our previously work (Hamilton,2009; Neelakantan et al., 2011). The purpose of this study is to develop a prototype cloud-based Web 2.0 mapping system for MLRA-121 which is primarily in Kentucky... T. Mueller

2. Spatial and Temporal Variability of Corn Grain Yield as a Function of Soil Parameters, and Climate Factors

Effective site-specific management requires an understanding the influence of soil and weather on yield variability. Our objective was to examine the influence of soil, precipitation, and temperature on spatial and temporal corn grain yield variability.  The study site (10 by 250 -m in size) was located in Jaboticabal, São Paulo State, on a Rhodic Hapludox. Corn yield (planted with 0.9-m spacing) was measured... T. Mueller, J. Corá, A. Castrignanò, M. Rodrigues, E. Rienzi

3. On-The-Go pH Sensor: An Evaluation in a Kentucky Field

A commercially available on-the-go soil pH sensor measures and maps subsurface soil pH at high spatial intensities across managed landscapes.  The overall purpose of this project was to evaluate the potential for this sensor to be used in agricultural fields. The specific goals were to determine and evaluate 1) the accuracy with which this instrument can be calibrated, 2) the geospatial structure of soil pH measurements,... T. Mueller, E. Gianello, B. Mijatovic, E. Rienzi, M. Rodrigues

4. Soil Organic Carbon Multivariate Predictions Based on Diffuse Spectral Reflectance: Impact of Soil Moisture

Spatial predictions of soil organic carbon (OC) developed with proximal and remotely sensed diffuse reflectance spectra are complicated by field soil moisture variation. Our objective was to determine how moisture impacted spectral reflectance and Walkley-Black OC predictions. Soil reflectance from the North American Proficiency Testing... T. Mueller, C. Matocha, F. Sikora, B. Mijatovic, E. Rienzi

5. Recognition Algorithms for Detection of Apple Fruit in an Orchard for Early Yield Prediction

... L.M. Damerow, M.M. Blanke, R.R. Zhou

6. Cloud Computing, Web-Based GIS, Terrain Analysis, Data Fusion, and Multivariate Statistics for Precision Conservation in the 21st Century

... T. Mueller

7. Development And Evaluation Of A Leaf Monitoring System For Continuous Measurement Of Plant Water Status In Almond And Walnut Crops

Abstract: Leaf temperature measurements using handheld infrared thermometers have been used to predict plant water stress by calculating crop water stress index (CWSI). However, for CWSI calculations it is recommended to measure canopy temperature of trees under saturated, stressed and current conditions simultaneously, which is not very practical while using handheld units. An inexpensive, easy to use sensing system was developed to predict plant water status for tree crops by measuring... F. Rojo, J. Roach, R. Coates, S. Upadhyaya, M. Delwiche, C. Han, R. Dhillon

8. Precision Design Of Vegetative Buffers

Precision agriculture techniques can be applied at field margins to improve performance of water quality protection practices. Effectiveness of vegetative buffers, conventionally designed to have uniform width along field margins, is limited by spatially non-uniform runoff from fields. Effectiveness can be improved by placing relatively wider buffer at locations where loads are greater. A GIS tool was developed that accounts for non-uniform flow and produces more-effective, variable-width,... T. Mueller, S. Neelakantan, M. Helmers, M. Dosskey

9. Study Of Spatio-Temporal Variation Of Soil Nutrients In Paddy Rice Planting Farm

It is significant to analysis the spatial and temporal variation of soil nutrients for precision agriculture especially in large-scale farms. For the data size of soil nutrients grows once after sampling which mostly by the frequency of one year or months, to discover the changing trends of exact nutrient would be instructive for the fertilization in the future. In this study, theories of GIS and geostatistics were used to characterize the spatial and temporal variability of soil... C. Wang, T. Chen, J. Dong, C. Li

10. In-field Variability of Terrain and Soils in Southeast Kansas: Challenges for Effective Conservation

A particular challenge for crop production in southeast Kansas is the shallow topsoil, underlain with a dense, unproductive clay layer. Concerns for topsoil loss have shifted production systems to reduced tillage or conservation management practices. However, historical erosion events and continued nutrient and sediment loss still limit the productive capacity of fields. To improve crop production and further adoption of conservation practices, identification of vulnerable areas of fields was... G.F. Sassenrath, T. Mueller, V.J. Alarcon, S.E. Kulesza, D. Shoup

11. Use of Remotely Measured Potato Canopy Characteristics As Indirect Yield Estimators

Prediction of potato yield before harvest is important for making agronomic and marketing decisions. Active optical sensors (AOS) are rarely used together with other hand-held instruments for monitoring potato growth, including yield prediction. The aim of the research was to determine the relationship between manually and remotely measured potato crop characteristics throughout the growing season and yield in commercial potato fields. Objective was also to identify crop characteristics that most... S.M. Samborski, J. Szatylowicz, T. Gnatowski, R. Leszczyńska, M. Thornton, O. Walsh