A Cyber-Physical Data Collection System Integrating Remote Sensing and Wireless Sensor Networks for Coffee Leaf Rust Diagnosis
Coffee Leaf Rust (CLR) is a fungal epidemic disease that has been affecting coffee trees around the world since the 1980s. The early diagnosis of CLR would contribute strategically to minimize the impact on the crops and, therefore, protect the farmers’ profitability. In this research, a cyber-physi...
Main Authors: | David Velásquez, Alejandro Sánchez, Sebastián Sarmiento, Camilo Velásquez, Mauricio Toro, Edwin Montoya, Helmuth Trefftz, Mikel Maiza, Basilio Sierra |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/16/5474 |
Similar Items
-
A Method for Detecting Coffee Leaf Rust through Wireless Sensor Networks, Remote Sensing, and Deep Learning: Case Study of the Caturra Variety in Colombia
by: David Velásquez, et al.
Published: (2020-01-01) -
IPR 107 – Dwarf arabic coffee cultivar with resistance to coffee leaf rust
by: Tumoru Sera, et al.
Published: (2013-01-01) -
Correlation Between Secondary Metabolites of Leaf and the Resistance to Leaf Rust (Hemileia vastatrix) on Several Arabica Coffee Clones
by: Gatot Subroto, et al.
Published: (2019-08-01) -
Dynamics of severity of coffee leaf rust (Hemileia vastatrix) on Coffee, in Chanchamayo (Junin-Peru)
by: Leonel Alvarado-Huamán, et al.
Published: (2020-09-01) -
Overview of the functional virulent genome of the coffee leaf rust pathogen Hemileia vastatrix with an emphasis on early stages of infection
by: Pedro eTalhinhas, et al.
Published: (2014-03-01)