Characterization of multispectral aerial images of sugarcane

19th Argentinean Bioengineering Society Congress

Solano, A.^1 ; Schneider, G.^1 ; Kemerer, A.^2 ; Hadad, A.^1

Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Argentina Grupo de Investigación en Inteligencia Artificial, Oro Verde, Entre Ríos, Argentina^1

Grupo de Recursos Naturales y Factores Abióticos, EEA Paraná Del INTA Cátedras de Climatología Agrícola y SIG, FCA UNER Oro Verde, Entre Ríos, Argentina^2

关键词: Aerial images;    Crop productivity;    Feature sets;    Identification process;    Multi-spectral;    Statistical features;    Statistical texture features;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/477/1/012016/pdf
DOI  :  10.1088/1742-6596/477/1/012016

来源: IOP

【 摘 要 】

In this paper we present a implementation and characterization the status of sugarcane plantations based on the analysis of multispectral aerial images. Currently there are no precise techniques to estimate objectively the cane area fall or overturned, and this causes significant losses in crop productivity and industrialization. For the realization of this work was made a dataset benchmark images, and implemented a software from which were obtained indicators related to agronomic phenomenon, and analyzes of the data generated. In addition was used Principal Component Analysis to visualize and integrate statistical texture features. The results indicate the statistical features used characterize partially the sugar cane phenomena and suggest include another texture focus to complement this feature set, previous to built an cane identification process.