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.
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.183-189, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_23〉
https://hal.inria.fr/hal-01220913
Contributeur : Hal Ifip
<>
Soumis le : mardi 27 octobre 2015 - 10:00:59
Dernière modification le : mercredi 17 janvier 2018 - 10:43:35
Document(s) archivé(s) le : jeudi 28 janvier 2016 - 10:33:44
Chuanyu Wang, Boxiang Xiao, Xinyu Guo, Sheng Wu. A Growth Measuring Approach for Maize Based on Computer Vision. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.183-189, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_23〉. 〈hal-01220913〉
