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Digital Acquisition and Measurement of Peanut Root Minirhizotron Images
Author(s) -
Pateña George,
Ingram Keith T.
Publication year - 2000
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj2000.923541x
Subject(s) - computer science , software , artificial intelligence , computer vision , laptop , image processing , digital image , computer graphics (images) , image (mathematics) , programming language , operating system
Video, photo, or in situ image capture and analysis from minirhizotrons is time‐consuming. Computerized root image analysis is expensive and subject to large background error. This paper describes a fast, simple, and accurate method for (i) capturing minirhizotron images through low‐cost hardware upgrade of existing minirhizotron equipment, and (ii) processing digital images using low‐cost software. This system was developed to monitor root distribution in peanut ( Arachis hypogaea L.). Digital images were recorded from a minirhizotron camera directly to a laptop computer hard drive instead of using videotape. This reduced image acquisition time by 36% and eliminated problems associated with manipulating video players. The image analysis system uses a mouse pointer to trace root length and diameter on a computer screen and calculates the distance traversed by the mouse pointer. A paired t ‐test on accuracy using wires of known length showed no significant difference ( P = 0.10) between actual and measured lengths.