Abstract : Growth measuring for plant is an important work both in agriculture
and botany. Computer vision provides a convenient non-contact way for
measurements in many fields. In this paper, a growth measuring approach
for maize based on computer vision is presented. Firstly, a computer
vision system for maize in field consisting of binocular camera on a
path beam is constructed, and doubles of maize images are captured.
Under the definition of average growth velocity of maize, we measure the
growth of given maize plant by image processing and relevant
calculations. Part of experimental results are given and discussed.
Results and analysis show that the presented method is practicable for
maize growth measuring in assigned time period. Finally, some
limitations are pointed and more future works are addressed in computer
vision-based measurement for plants.
https://hal.inria.fr/hal-01220913 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Tuesday, October 27, 2015 - 10:00:59 AM Last modification on : Wednesday, January 17, 2018 - 10:43:35 AM Long-term archiving on: : Thursday, January 28, 2016 - 10:33:44 AM
Chuanyu Wang, Boxiang Xiao, Xinyu Guo, Sheng Wu. A Growth Measuring Approach for Maize Based on Computer Vision. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. pp.183-189, ⟨10.1007/978-3-642-54344-9_23⟩. ⟨hal-01220913⟩