Mapping and identifying basal stem rot disease in oil palms in North Sumatra with QuickBird imagery
By H. Santoso, T. Gunawan, R. Jatmiko, Witjaksana Darmosarkoro, Budiman Minasny. Precision Agriculture, 2011
108 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Forestry
View Paper: https://www.semanticscholar.org/paper/a19ff6b69c9214e73fdce68de4563d96f15dca16
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In Ecology
Citations in the corpus
- Ecological status of Ganoderma and basal stem rot disease of oil palms (Elaeis guineensis Jacq.). (2013, background): “The results showed that the e-nose system can discriminate the Ganoderma infected plant in field condition but not able to detect the stages of infection levels or early infection of the disease (Santoso et al., 2011; Azahar et al., 2011; Markom et al., 2009; Md Shakaff et al., 2009).”
- Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms (2014, background): “Various studies have shown the potential of imaging and nonimaging (spectroscopic) techniques for detecting stress in plants (Pacumbaba and Beyl 2011; Prabhakar et al. 2011; Santoso et al. 2011).”
- Applications of Remote Sensing in Precision Agriculture: A Review (2020, unknown): “5 days Disease [93] AQUA AMSR-E (2002– 2016) MS (Microwave Radiometer; 5.”