Plant health: web application for detecting diseases in coffee plants in northern Peru
DOI:
https://doi.org/10.18687/LACCEI2024.1.1.623Palabras clave:
Coffee diseases, Web application, Image automation, Machine learningResumen
The purpose of this research was to develop and implement a web application to detect diseases in coffee plants. The application was implemented in the province of San Ignacio, department of Cajamarca. For this, a population and sample of 25 coffee farmers were considered. The main objective of this research was to measure the impact of implementing a web application in detecting diseases in coffee plants in the province of San Ignacio - Cajamarca, 2023. To achieve this, a pre-test was conducted with the selected sample, then the application was provided for a trial period, and finally, after concluding the trial period, a post-test was conducted. As a result, there was a 20% increase in coffee farmers' consideration regarding the importance of plant health in achieving more sustainable production and development.Descargas
Publicado
2024-07-27
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Derechos de autor 2024 LACCEI

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
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Garcia-Hernandez, J. P., Rafael-Arbildo, J. C., Pérez-Aguilar, D. A., Malpica-Rodríguez, M. E., Meza-Huamán, J. A., & Alvarado-León, D. E. (2024). Plant health: web application for detecting diseases in coffee plants in northern Peru. LACCEI, 1(10). https://doi.org/10.18687/LACCEI2024.1.1.623