A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images

İrfan Ökten; Uğur Yüzgeç

doi:10.15832/ankutbd.1591199

A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images

Abstract

An important global research topic is the analysis of the crop status, viability, and disease status of vegetables, fruits, and plants in agricultural areas. The Normalized Vegetation Difference Index (NDVI) is commonly used to analyze these conditions by using near-infrared (NIR) features in satellite images or multispectral cameras, such as Lansat-8, to produce NDVI maps. However, these methods have limitations such as high cost and difficulty in accessing images. To address these limitations, this study proposes a new neural network-based index called nNDVI, which uses a Multi-Layer Perceptron (MLP), an Artificial Neural Network (ANN), to convert the NDVI value from standard RGB images. The nNDVI allows for the analysis of vegetation in agricultural areas using low-cost RGB cameras. The MLP model was trained with R (red), G (green), and B (blue) values as input, and real NDVI values for the Swiss forest and Togo farm images were obtained with the MicaSenseAltum camera. The results of testing the model on the dataset showed an accuracy of 92.013% when comparing the nNDVI values obtained with the RGB cameras to the actual NDVI values. Thus, the proposed method demonstrates the ability to use nNDVI maps obtained using low-cost RGB cameras as an alternative to NDVI maps obtained using high-cost multispectral cameras. Overall, this study makes a valuable contribution to the field of agricultural research by presenting a cost-effective and accessible method for analyzing vegetation in agricultural areas.

Keywords

References

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Details

Primary Language

English

Subjects

Modelling and Simulation, Artificial Intelligence (Other), Pesticides and Toxicology, Food Sustainability, Soil Survey and Mapping

Journal Section

Research Article

Authors

İrfan Ökten ^*
0000-0001-9898-7859
Türkiye

Uğur Yüzgeç
0000-0002-5364-6265
Türkiye

Publication Date

September 30, 2025

Submission Date

November 25, 2024

Acceptance Date

June 2, 2025

Published in Issue

Year 2025 Volume: 31 Number: 4

DOI

https://doi.org/10.15832/ankutbd.1591199

IZ

https://izlik.org/JA45GK78UM

Cite

RIS / Bibtex

APA

Ökten, İ., & Yüzgeç, U. (2025). A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images. Journal of Agricultural Sciences, 31(4), 998-1011. https://doi.org/10.15832/ankutbd.1591199

AMA

1.Ökten İ, Yüzgeç U. A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images. J Agr Sci-Tarim Bili. 2025;31(4):998-1011. doi:10.15832/ankutbd.1591199

Chicago

Ökten, İrfan, and Uğur Yüzgeç. 2025. “A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images”. Journal of Agricultural Sciences 31 (4): 998-1011. https://doi.org/10.15832/ankutbd.1591199.

EndNote

Ökten İ, Yüzgeç U (September 1, 2025) A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images. Journal of Agricultural Sciences 31 4 998–1011.

IEEE

[1]İ. Ökten and U. Yüzgeç, “A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images”, J Agr Sci-Tarim Bili, vol. 31, no. 4, pp. 998–1011, Sept. 2025, doi: 10.15832/ankutbd.1591199.

ISNAD

Ökten, İrfan - Yüzgeç, Uğur. “A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images”. Journal of Agricultural Sciences 31/4 (September 1, 2025): 998-1011. https://doi.org/10.15832/ankutbd.1591199.

JAMA

1.Ökten İ, Yüzgeç U. A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images. J Agr Sci-Tarim Bili. 2025;31:998–1011.

MLA

Ökten, İrfan, and Uğur Yüzgeç. “A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images”. Journal of Agricultural Sciences, vol. 31, no. 4, Sept. 2025, pp. 998-1011, doi:10.15832/ankutbd.1591199.

Vancouver

1.İrfan Ökten, Uğur Yüzgeç. A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images. J Agr Sci-Tarim Bili. 2025 Sep. 1;31(4):998-1011. doi:10.15832/ankutbd.1591199