Evaluation of a Low-cost Camera for Agricultural Applications

Netto, Abdon Francisco Aureliano and Martins, Rodrigo Nogueira and De Souza, Guilherme Silverio Aquino and Dos Santos, Fernando Ferreira Lima and Rosas, Jorge Tadeu Fim (2019) Evaluation of a Low-cost Camera for Agricultural Applications. Journal of Experimental Agriculture International, 32 (5). pp. 1-9. ISSN 2457-0591

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Abstract

This study aimed to modify a webcam by replacing its near-infrared (NIR) blocking filter to a low-cost red, green and blue (RGB) filter for obtaining NIR images and to evaluate its performance in two agricultural applications. First, the sensitivity of the webcam to differentiate normalized difference vegetation index (NDVI) levels through five nitrogen (N) doses applied to the Batatais grass (Paspalum notatum Flugge) was verified. Second, images from maize crops were processed using different vegetation indices, and thresholding methods with the aim of determining the best method for segmenting crop canopy from the soil. Results showed that the webcam sensor was capable of detecting the effect of N doses through different NDVI values at 7 and 21 days after N application. In the second application, the use of thresholding methods, such as Otsu, Manual, and Bayes when previously processed by vegetation indices showed satisfactory accuracy (up to 73.3%) in separating the crop canopy from the soil.

Item Type: Article
Subjects: West Bengal Archive > Agricultural and Food Science
Depositing User: Unnamed user with email support@westbengalarchive.com
Date Deposited: 05 Apr 2023 12:02
Last Modified: 17 Jun 2024 07:01
URI: http://article.stmacademicwriting.com/id/eprint/451

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