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- Title
Fotografía multiespectral para el diagnóstico fitosanitario de pasto kikuyo (Cechrus clandestinus (Hochst ex Chiov) Morrone).
- Authors
Hoyos Rojas, Jhon Edwin; Posada Asprilla, William; Cerón Muñoz, Mario Fernando
- Abstract
The phytosanitary status of Kikuyu grass (Cechrus clandestinum (Hochst ex Chiov)) was studied using a multispectral imaging sensor carried by a drone. Reflectance in the red (R), green (G), blue (B), red-edge (RE), and near infrared (NIR) wavelengths was recorded for 109 sampling points. Wavelengths were related to the degree of damage caused by pests, determined in the field. R, G, B, and RE wavelengths were moderately correlated with the degree of disease in the leaves, with 0.63, 0.51, 0.51 and 0.50 coefficients, respectively, while near infrared wavelength presented a low positive correlation (r = 0.14). In total, 25 generalized linear models were evaluated, where the model y = (41.33 * R) + (1.38 * NIR), with 0.69 deviance, resulted in the highest parsimony model. In addition, is an easy model to apply because it uses two bands only.
- Subjects
IMAGE sensors; LEAF diseases &; pests; WAVELENGTHS; PARSIMONIOUS models; REFLECTANCE; MULTISPECTRAL imaging
- Publication
Acta Agronómica, 2019, Vol 68, Issue 1, p61
- ISSN
0120-2812
- Publication type
Article
- DOI
10.15446/acag.v68n1.75662