Image Analysis Efficiently Measuring Product Purity for Crop Cleaners

J. Wang (Editor)
F. E. Eaton (Editor)
T. W. Sammis (Editor)
Tennessee State University, Nashville, TN, USA

Series: Agriculture Issues and Policies
BISAC: TEC003030

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Volume 10

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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The purity of product from agricultural cleaners (such as chile, cotton, bean, wheat and other crop cleaners) is needed to be measured under various conditions in order to adjust and optimize the machine at the design and improvement stages. The traditional weight-based method of measuring purity is time consuming, and requires much labor. This book uses image analysis to measure percent crop cover for the product output to infer the purity. Chile cleaner was used as one example machine. Photoshop© and Arcview© software were compared. The data collection process is more reproducible and less labor and time consuming than the traditional technique. (Imprint: Nova)

Abstract

Introduction

Materials and methods

Taking pictures

Image analysis

Chile purity comparison with true values based on image methods

Time and cost comparison of image and weight-based methods

Correlation of purities of image and weight-based methods

Results

Photoshop©

Comparison with true values

Time and cost comparison of image and weight-based methods

Correlation of purities measured by image and dry weight- based methods

Conclusion

Acknowledgement

References

Index

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