Plant health: web application for detecting diseases in coffee plants in northern Peru

Authors

  • Jhordan P. Garcia-Hernandez Universidad Privada del Norte - (PE), Perú
  • Julio C. Rafael-Arbildo Universidad Privada del Norte - (PE), Perú
  • Daniel A. Pérez-Aguilar Universidad Tecnológica del Perú S.A.C. - (PE)
  • Manuel E. Malpica-Rodríguez Universidad Nacional de Cajamarca - (PE)
  • Jaime A. Meza-Huamán Universidad Privada del Norte - (PE), Perú
  • Daniel E. Alvarado-León Universidad Tecnológica del Perú S.A.C. - (PE)

DOI:

https://doi.org/10.18687/LACCEI2024.1.1.623

Keywords:

Coffee diseases, Web application, Image automation, Machine learning

Abstract

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.

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Published

2024-07-27

How to Cite

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

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