Determining Inhomogeneity Areas in Agricultural Fields Based on the Earth Remote Sensing Images
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 sta...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2019-11-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct25/files/Sko.pdf
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| Summary: | 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. |
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| ISSN: | 2305-7254 2343-0737 |