Rapid Identification of Potassium Nutrition Stress in Rice Based on Machine Vision and Object-Oriented Segmentation
Special symptoms could be observed on rice leaves when exposed to potassium deficiency, and these symptoms usually display differently under different potassium levels, which offer a foundation for rapid nutrition diagnosis. In this research study, two years of hydroponic experiments on rice (provid...
Main Authors: | Lisu Chen, Shihan Huang, Yuanyuan Sun, Enyan Zhu, Ke Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Journal of Spectroscopy |
Online Access: | http://dx.doi.org/10.1155/2019/4623545 |
Similar Items
-
Utilization of Machine Vision to Monitor the Dynamic Responses of Rice Leaf Morphology and Colour to Nitrogen, Phosphorus, and Potassium Deficiencies
by: Yuanyuan Sun, et al.
Published: (2018-01-01) -
Identification of nitrogen, phosphorus, and potassium deficiencies in rice based on static scanning technology and hierarchical identification method.
by: Lisu Chen, et al.
Published: (2014-01-01) -
An object oriented model of machine vision
by: Brown, Gary
Published: (1997) -
Identification of Nitrogen, Phosphorus, and Potassium Deficiencies Based on Temporal Dynamics of Leaf Morphology and Color
by: Yuanyuan Sun, et al.
Published: (2018-03-01) -
Study on the identification of grain shape in rice cultivars with machine vision
by: CHEN, ZHENG-YI, et al.
Published: (1989)