1. Within-row spacing sensing of maize plants using 3D computer vision.
- Author
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Nakarmi, Akash D. and Lie Tang
- Subjects
- *
THREE-dimensional imaging , *COMPUTER vision , *WATER supply , *IMAGE sensors , *STANDARD deviations - Abstract
Within-row plant spacing plays an important role in uniform distribution of water and nutrients among plants which affects the final crop yield. While manual in-field measurements of within-row plant spacing is time and labour intensive, little work has been done on an alternative automated process. We have attempted to develop an automatic system making use of a state-of-the-art 3D vision sensor that accurately measures within-row maize plant spacing. Misidentification of plants caused by low hanging canopies and doubles were reduced by processing multiple consecutive images at a time and selecting the best inter-plant distance calculated. Based on several small scale experiments in real fields, our system has been proven to measure the within-row maize plant spacing with a mean and standard deviation error of 1.60 cm and 2.19 cm, and a root mean squared error of 2.54 cm, respectively. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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