Paper Info
Title
Determining Inhomogeneity Areas in Agricultural Fields Based on the Earth Remote Sensing Images
Abstract
The paper focuses on the methodology for studying inhomogeneities in crop development based on the analysis of multispectral images obtained during the Earth remote sensing. The methodology is based on calculation of the Normalized Difference Vegetation Index (NDVI) and its analysis at different stages of agricultural production. The authors propose an original method and new algorithms for detecting inhomogeneities that take into account field zoning at various stages of the plant development cycle: preparing the field for sowing, emergence and development of seedlings, heading. A mathematical description of the agricultural field as an object of study is given, as well as characteristics of inhomogeneities at each stage of agricultural development. The developed algorithms are used in the Smart Farming system, designed to solve the problems of precision farming in the image processing software module. Comparative analysis of results obtained by the module and by similar systems has proven high efficiency of the developed methodology.
Year
DOI
Venue
2019
10.23919/FRUCT48121.2019.8981539
2019 25th Conference of Open Innovations Association (FRUCT)
Keywords
DocType
ISSN
multispectral images,Normalized Difference Vegetation Index,agricultural production,inhomogeneities,account field,plant development cycle,agricultural field,agricultural development,image processing software module,comparative analysis,inhomogeneity areas,earth remote sensing images,crop development
Conference
2305-7254
ISBN
Citations 
PageRank 
978-1-7281-2786-6
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Petr Skobelev111824.61
Vladimir Galuzin200.34
Vitaliy Travin300.34
Anastasiya Galitskaya400.34
Elena Simonova503.72