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Nitrogen content is an important indicator used for monitoring and management of plant due to its role in photosynthesis, productivity as well as its effect on carbon and oxygen cycle. The research aimed at estimation of nitrogen content of rice crop based on Near Infrared (NIR) reflectance using Artificial Neural Network (ANN). ANN is a non-linear modeling tools based on statistical data. Nitrogen...
Nitrogen (N) is one of nutrient required by plant in huge amounts. N availability of plant is needed to be estimated before applying fertilizers to determine proper N application rate. The purpose of this study is to estimate N of paddy (Oryza sativa, sp.) based on leaf reflectance using Artificial Neural Network (ANN). In this study, 45 leaf samples were randomly selected under various environmental...
The relevance of this challenging still unresolved development of multi-band equatorially orbiting fully polarimetric POLinSAR satellite configurations to the entire terrestrial globe will be highlighted. Special attention will be given to generation of global weather phenomena, supply of an ever more relevant stable food base, extraction of mineral and energy resources with its implicit local environmental...
Images captured by Lapan-A3 pushbroom imager will have some geometric distortions from various sources. Most of them can be ideally corrected by using a high quality ancillary data, i.e. Lapan-A3 attitude sensor must provide attitude data for each image line (2,5ms) and free from measurement error. That ideal condition is nearly impossible to achieve so this paper aims to determine the minimum performance...
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