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Jadhav, B.T
Sielenkemper, M
Gianello, E
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Authors
Mueller, T
Gianello, E
Mijatovic, B
Rienzi, E
Rodrigues, M
Dongare, M.L
Jadhav, B.T
Shaligram, A.D
Rathee, G
Sielenkemper, M
Topics
Spatial Variability in Crop, Soil and Natural Resources
Education and Outreach in Precision Agriculture
Geospatial Data
Type
Poster
Oral
Year
2012
2018
2022
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Authors

Filter results3 paper(s) found.

1. 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

2. Refractive Index Based Brix Measurement System for Sugar and Allied Industries

An attempt has been made to design optimization of Refractormetric based method for the measurement of Brix.  Optimization of various constructional parameters including selection and location of source, prism and detector, position of source, angular position and height of source from prism plane, divergent angle of source, refractive index of prism, size of prism, the location of detector to pick up the optimum reflected light, refractive index of sample, critical angle, choice of suitable... M.L. Dongare, B.T. Jadhav, A.D. Shaligram

3. Next in Precision Agriculture: Detecting and Correcting Pixels with Machinery Track Line Within Farms

With more satellites orbiting the earth, monitoring of fields using satellite data has become easier and ubiquitous. Frequent observations of a field can provide vital cues about field health and management practices. However, farm analytical statistics derived from such datasets often need modification to create practical applications. This paper focuses on the detection and removal of field machinery track line pixels to reduce their effect on satellite-based agronomic recommendation and product... G. Rathee, M. Sielenkemper