Back to search

Article

Multispectral radiometric monitoring of bacterial blight of coffee

2019-10-01

Abstract excerpt

Bacterial blight of coffee caused by Pseudomonas syringae pv. garcae shows great destructive potential in the main coffee producing regions in Brazil and worldwide. Remote sensing technologies can be used as an inexpensive and effective method to identify and monitor the disease. This study evaluated the potential of the Landsat 8 OLI/TIRS multispectral sensor for the spatial and temporal monitoring of coffee (Cof...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
cab67fa5-0f1d-5350-abc7-2a3e6122bdc9
DOI
10.1007/s11119-018-09623-9
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Multispectral radiometric monitoring of bacterial blight of coffeeDOI 10.1007/s11119-018-09623-9
Aiming at decision making in plant disease protection and phenotyping by the use of optical sensorsSemantic proximity
Integrating UAV‐based multispectral remote sensing and machine learning for detection and classification of chocolate spot disease in faba beanSemantic proximity
Thermography reveals the potential of traditional bean varieties against common bacterial blightSemantic proximity
Multispectral Images for Drought Stress Evaluation of Arabica Coffee Genotypes Under Different Irrigation Regimes.Semantic proximity
A time series analysis of brown eye spot progress in conventional and organic coffee production systemsSemantic proximity
Detection and survey of coffee ringspot virus in Brazil.Semantic proximity
Geographic Object-Based Analysis of Airborne Multispectral Images for Health Assessment of Capsicum annuum L. Crops.Semantic proximity
Remote Sensed Spectral Imagery to Detect Late Blight in Field TomatoesSemantic proximity
Multi-temporal wheat disease detection by multi-spectral remote sensingSemantic proximity
Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagerySemantic proximity
Spatial and temporal analysis of coffee wilt disease caused by Fusarium xylarioides in Coffea canephoraSemantic proximity
Hyperspectral remote sensing of yellow mosaic severity and associated pigment losses in Vigna mungo using multinomial logistic regression modelsSemantic proximity
Select a neighboring publication to make it the new centre.