Rapid Quantification of Microalgae Growth with Hyperspectral Camera and Vegetation Indices
نویسندگان
چکیده
منابع مشابه
Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
The objective of this paper is to determine spectral quantities of each crop. The best of these two-band indices were further tested to see if soil adjustment or nonlinbands that are best suited for characterizing agricultural crop biophysical variables. The data for this study comes ear fitting could improve their predictive accuracy. The best of the narrow band NDVI models explained 64% to fr...
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Leaf chlorophyll content is not only an important biochemical parameter for determinating the capacity of rice photosynthesis, but also a good indicator of crop stress, nutritional state. Due to the reliable, operational and non-destructive advantages, hyperspectral remote sensing plays a significant role for assessing and monitoring chlorophyll content. In the study, a few of typical vegetatio...
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A field experiment was carried out to assess biomass and nitrogen status inMediterranean pastures by means of hyperspectral high resolution field radiometric data. Spectral and agronomic measurements were collected at three different pasture growth stages and in grazed–ungrazed plots distributed over an area of 14 ha. Reflectance-based vegetation indices such as simple ratio indices (SR[i,j]) a...
متن کاملHyperspectral Vegetation Indices for Estimation of Leaf Area Index
Spectral vegetation indices are frequently used to estimate vegetation biophysical/biochemical characteristics. In general they have been proposed to reduce spectral effects caused by external factors such as the atmosphere and the soil background. This study evaluated narrow band vegetation indices for estimation of vegetation leaf area index. The study takes advantage of using a dataset colle...
متن کاملMonitoring Winter Wheat Maturity By Hyperspectral Vegetation Indices
It is very important to harvest wheat in optimum time which greatly affects grain quality, mainly referred to as protein content in the research. Because either too early harvest shortens grain-filling process or too late harvest leads to yield losses and poor quality caused by high grain respiration rate in dry and hot wind weather and sprouting in rainy weather. Research was conducted during ...
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ژورنال
عنوان ژورنال: Plants
سال: 2021
ISSN: 2223-7747
DOI: 10.3390/plants10020341