نتایج جستجو برای: chlorophyll prediction
تعداد نتایج: 273952 فیلتر نتایج به سال:
in order to study the effect of foliar zinc spraying on photosynthetic pigments and yield of chickpea under water stress conditions, a factorial experiment carried out based on randomized completely block design (rcbd) with three replications in university of mohaghegh ardabili agricultural research station in 2012. the treatments consisted of three levels of irrigation (irrigated at planting, ...
The estimation of nitrogen status, non-destructively, in oilseed rape was performed using spectral reflectance with visible and near infrared reflectance spectroscopy (Vis/NIRS), and SPAD values of the oilseed rape leaves of 30 plots were measured by a SPAD 502 chlorophyll meter, and the research was carried out at experiment field in the Zhejiang University during growing season from 2007 to 2...
Prediction method for large diatom appearance in winter with meteorological data and MODIS derived turbidity and chlorophyll-a in Ariake Bay Area in Japan is proposed. Mechanism for large diatom appearance in winter is discussed with the influencing factors, meteorological condition and in-situ data of turbidity, chlorophyll-a data with the measuring instruments equipped at the Saga University ...
In order to detect leaf chlorophyll level nondestructively and instantly, VIS/NIR reflection spectroscopy technique was examined. In the test, 70 leaf samples were collected for model calibration and another 50 for model verification. Each leaf sample was optically measured by USB4000, a modular spectrometer. By the observation of spectral curves, the spectral range between 650nm and 750nm was ...
This paper studies the application of evolutionary arti cial neural networks to chlorophyll a pre diction in Lake Kasumigaura Unlike previous applications of arti cial neural networks in this eld the architecture of the arti cial neural network is evolved automatically rather than designed man ually The evolutionary system is able to nd a near optimal architecture of the arti cial neural networ...
The in-chlorophyll centre waveband (ICCW) (640-680 nm) is the specific chlorophyll (Chl) absorption band, but the reflectance in this band has not been used as an optimal index for non-destructive determination of plant Chl content in recent decades. This study develops a new spectral index based solely on the ICCW for robust retrieval of leaf Chl content for the first time. A glasshouse experi...
With decreasing water availability as a result of climate change and human activities, analysis of the influential factors and variation trends of chlorophyll a has become important to prevent reservoir eutrophication and ensure water supply safety. In this paper, a structurally simplified hybrid model of the genetic algorithm (GA) and the support vector machine (SVM) was developed for the pred...
in the regulated nakdong river, algal proliferations are annually observed in some seasons, with cyanobacteria (microcystis aeruginosa) appearing in summer and diatom blooms (stephanodiscus hantzschii) in winter. this study aims to develop two ecological models forecasting future chlorophyll a at two time-steps (one-week and one-year forecasts), using recurrent neural networks tuned by genetic...
In this study an attempt is made to mathematically model and predict algal blooms in Tolo Harbour (Hong Kong) using Genetic Programming (GP). Chlorophyll plays a vital role and is taken as a measure of algal bloom biomass and 8 other variables are taken as input for its prediction. It is observed that GP evolves multiple models with almost same values of errors – of – measure. Previous studies ...
* Corresponding author. E-mail addresses: [email protected] (M. Fang). 1537-5110/$ – see front matter a 2009 IAgrE doi:10.1016/j.biosystemseng.2009.12.008 Heavy metal stress in soils results in subtle changes in leaf chlorophyll concentration, which are related to crop growth and crop yield. Accurate estimation of the chlorophyll concentration of a crop under heavy metal stress is essential...
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