RESTful-based platform to obtain Nitrogen indices in multispectral images of plants through NDVI
DOI:
https://doi.org/10.30973/progmat/2024.16.1/6Keywords:
NDVI, PRecision Agriculture, Mobile Computing, RESTfulAbstract
Image processing plays a critical role in precision agriculture, revolutionizing the way how agricultural production is managed and optimized. By employing image capture and analysis technologies, this field has enabled more informed and efficient decision-making at all stages of agriculture process. In this paper a RESTful-based service platform in order to allow any device (including mobile devices) to transmit, acquire, and process multispectral images through an application called NDVIcam is presented. This application is based on the processing of the Normalized Differential Vegetation Index (NDVI) which is used to estimate the quantity, quality and development of vegetation based on the measurement of the radiation intensity of certain bands of the electromagnetic spectrum that vegetation reflects. This prototype is based on images taken of crops in controlled environments, two pictures of the same target are taken - one image in the normal color spectrum and a second photo in the infrared spectrum, by processing both images is how the NDVI index is obtained. Likewise, results applied to pumpkin and corn plants to determine Nitrogen levels are presented.
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Copyright (c) 2024 Luis Antonio Gama-Moreno, Violeta Haide Plazola Soltero, Christian Guillermo Murguía Vadillo, Jorge Armando Peralta-Nava, Faustino Ramírez-Ramírez, Carlos Martínez-Hernández, Alma Verónica Benítez-Ortega
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