Proceedings :: International Society of Precision Agriculture

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GOWDA, H.H

Shao, Y

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Authors

PATIL, V.C

GOWDA, H.H

REDDY, K.A

SHANWAD, U.K

Zhao, Y

Xu, X

Shao, Y

He, Y

Li, Q

Topics

Remote Sensing Applications in Precision Agriculture

Food Security and Precision Agriculture

Type

Poster

Oral

Year

2012

2014

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Filter results2 paper(s) found.
1. Soil Resource Appraisal towards Land use Planning Using Satellite Remote Sensing and GIS – A Case Study in Medak Nala Watershed in Northern Karnataka, India In precision farming, knowledge of spatial variability in soil properties is important. The soil map shows soil series and phases like stoniness, gravelliness, salinity, sodicity,... V.C. Patil, H.H. Gowda, K.A. Reddy, U.K. Shanwad Download paper
2. A Novel Hyperspectral Feature Extraction Algorithm Based On Waveform Resolving For Raisin Classification Near infrared hyperspectral imaging technology was adopted in the paper to determine the variety of raisins produced in Xinjiang Uygur Autonomous Region, China. There are 2 varieties of raisins taking part in the research and the wavelengths of the hyperspectral images are from 900nm to 1700nm. A novel waveform resolving method was proposed in the paper to reduce the hyperspectral data and extract features. The waveform resolving method compresses the original hyperspectral data for one pixel... Y. Zhao, X. Xu, Y. Shao, Y. He, Q. Li Download paper

Filter results2 paper(s) found.

1. Soil Resource Appraisal towards Land use Planning Using Satellite Remote Sensing and GIS – A Case Study in Medak Nala Watershed in Northern Karnataka, India

In precision farming, knowledge of spatial variability in soil properties is important. The soil map shows soil series and phases like stoniness, gravelliness, salinity, sodicity,... V.C. Patil, H.H. Gowda, K.A. Reddy, U.K. Shanwad

Download paper

2. A Novel Hyperspectral Feature Extraction Algorithm Based On Waveform Resolving For Raisin Classification

Near infrared hyperspectral imaging technology was adopted in the paper to determine the variety of raisins produced in Xinjiang Uygur Autonomous Region, China. There are 2 varieties of raisins taking part in the research and the wavelengths of the hyperspectral images are from 900nm to 1700nm. A novel waveform resolving method was proposed in the paper to reduce the hyperspectral data and extract features. The waveform resolving method compresses the original hyperspectral data for one pixel... Y. Zhao, X. Xu, Y. Shao, Y. He, Q. Li

Download paper