Bibliographic citations
De, G., (2022). Sistema de medición del área foliar en Plantines de Alcachofa mediante procesamiento digital de imágenes aéreas en un invernadero en Huamachuco [Tesis, Universidad Privada Antenor Orrego.]. https://hdl.handle.net/20.500.12759/9205
De, G., Sistema de medición del área foliar en Plantines de Alcachofa mediante procesamiento digital de imágenes aéreas en un invernadero en Huamachuco [Tesis]. PE: Universidad Privada Antenor Orrego.; 2022. https://hdl.handle.net/20.500.12759/9205
@misc{renati/380680,
title = "Sistema de medición del área foliar en Plantines de Alcachofa mediante procesamiento digital de imágenes aéreas en un invernadero en Huamachuco",
author = "De la Cruz Mariños, Gianmartin Francisco",
publisher = "Universidad Privada Antenor Orrego.",
year = "2022"
}
The main objective of this research work is to determine the accuracy in the measurement of leaf area of artichoke seedlings using an algorithm with digital processing of aerial images. The validation of this algorithm was performed by contrasting the data obtained against the data measured with a traditional method. The digital image processing algorithm was developed based on the Python programming language, and different functions divided into 3 stages were performed: image acquisition (this stage includes capturing and sending the images of the artichoke seedlings to the server), image preprocessing (in this second stage, the images were cropped using QR codes positioned in the work area) and finally image processing (this stage includes the analysis, recognition and calculation of the leaf area of the seedlings). In the traditional method, the analysis of the leaf area of the seedlings was performed using the scanning technique; this technique made it possible to directly and accurately find the leaf area of each seedling. From the application of the two methods described above, a comparative analysis was developed using statistical tests in order to determine the difference in the measurement of leaf area, with the final result that the algorithm created with digital processing of aerial images presents 70% accuracy, unlike the traditional method, which is more accurate, but requires much more time
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