ASABE Technical Library - Abstract

Click on “Download PDF” for the PDF version or on the title for the HTML version.
If you are not an ASABE member or if your employer has not arranged for access to the full-text, view access and subscription options

Machine Vision for Automated Corn Plant Spacing, Growth Stage and Population Measurements – Part I: Real-Time Image-Sequencing

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  023099,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.9378) @2002
Authors:   Lie Tang, Lei Tian
Keywords:   Real-time, image sequencing, corn plant spacing, growth stage, population measurement

Corn is one of the major crops in the Midwest. In-field variations associated with corn plant spacing, growth stage, and population can lead to significant yield differences. In order to minimize these variations, seeds should be placed at a uniform spacing and at a desired seeding depth. Since the ability to achieve this uniformity is directly related to the planter performance, intensive field evaluations are vitally important before a prototype planter is marketed. A machine vision-based emerged corn plant spacing, growth stage, and population measurement system (ECS) was successfully developed for the performance evaluation for prototype planters. The system was capable of doing real-time image-sequencing with the distance error ratio of less than 1% under various wind and soil conditions.

(Download PDF)    (Export to EndNotes)