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dc.contributor.authorPUTRA, Bayu Taruna Widjaja
dc.contributor.authorSONI, Peeyush
dc.date.accessioned2021-08-23T05:51:55Z
dc.date.available2021-08-23T05:51:55Z
dc.date.issued2020-02-02
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/105084
dc.description.abstractThe farming activities in developing countries are mostly conducted in daytime with varying intensities of natural light throughout the day. Also, the shade trees can further increase the uncertainty of natural light exposure on plants. This research proposes an appropriate method to standardize index values obtained from an RGB digital camera for assessing biophysical properties, especially nitrogen content. Nutrient content in plants is an important factor that characterizes plant yields and health. Determining the status of plant nutrients often requires field observation. The conventional laboratory methods and remote sensing applications (i.e. satellite, airborne and spectrometer) are still expensive. Also, weather and field condition significantly affect the quality of measurement results. The use of consumer-grade digital cameras has been explored as an alternative low-cost tool for non-scientific end users; however, the use of a camera for above-canopy measurement is severely constrained by unfavorable weather condition coupled with limited time available for the measurement that depends on the intensity of incident light and the condition of plantation area. Furthermore, shade trees present in plantation areas reduce the quality of measurement results. By using this newly proposed method, measurement accuracy is improved and the potential use of Red, Green, and Blue (RGB) cameras during daytime is explored. Since many studies showed that the Hue index was a potential tool for estimating biological properties, this study used exposure value (EV) to adjust the digital number (DN) and Hue index to observe the potential of calibrated and standardized DN and Indices for estimating greenness of Robusta coffee plants.en_US
dc.language.isoenen_US
dc.publisherPrecision Agricultureen_US
dc.subjectBroadband greenness en_US
dc.subjectStandardization en_US
dc.subject· Above-canopy measurement en_US
dc.subjectChlorophyllen_US
dc.subjectNitrogen content en_US
dc.subjectCoffee planten_US
dc.titleImproving Nitrogen Assessment with an RGB Camera Across Uncertain Natural Light From Above‑Canopy Measurementsen_US
dc.typeArticleen_US
dc.identifier.kodeprodiKODEPRODI1710201#TeknikPertanian
dc.identifier.nidnNIDN0008108402


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