Micro-environment such as temperature influenced the growth and quality of plantlets in vitro. Chlorophyll fluorescence (ChlF) parameter is an important one for photosynthesis capacity in plant. The modulated chlorophyll fluorescence imaging system can be used for obtaining ChlF imaging and signal of plantlet in vitro because the container has light permeability. Therefore, the biological activity and growth condition of plantlet in vitro can be estimated by sterilely measuring the characteristics of chlorophyll fluorescence. This study determined the parameter of chlorophyll fluorescence in Orychophragmus violaceus plantlets in vitro preserved under different temperature levels (0, 4, and 8°C). The results showed that photosynthesis capacity in Orychophragmus violaceus plantlets in vitro preserved under 4°C condition were higher than that under 0°C or 8°C conditions. The plantlets in vitro preserved under 4°C condition maintained a high vitality to be subcultured.
KEYWORDS: Data modeling, Agriculture, Analytical research, Error analysis, Lithium, Standards development, Systems modeling, Statistical modeling, Control systems
This paper studies price transmission mechanism of China’s broiler industry chain with Market-chain Cooperated Model (MCM), according to the monthly price data of corn, broiler compound feed, broiler chicks, live chicken and eviscerated chicken from 1994 June to 2011 October. The result shows that the price system of China’s broiler industry chain exists price transmission relationship, the price of representative products from upstream and midstream conducts obviously to downstream, and broiler compound feed price plays an important role in the price system. The result also indicates that the interior adjusting of broiler industry chain cannot guarantee that the entire price system recover to balance quickly. Therefore, the government needs to regulate timely the price system of broiler industry chain, especially the price change of feed and live broiler to maintain the price system relative stable.
Gait recognition refers to automatic identification of individual based on his/her style of walking. This paper proposes a gait recognition method based on Continuous Hidden Markov Model with Mixture of Gaussians(G-CHMM). First, we initialize a Gaussian mix model for training image sequence with K-means algorithm, then train the HMM parameters using a Baum-Welch algorithm. These gait feature sequences can be trained and obtain a Continuous HMM for every person, therefore, the 7 key frames and the obtained HMM can represent each person's gait sequence. Finally, the recognition is achieved by Front algorithm. The experiments made on CASIA gait databases obtain comparatively high correction identification ratio and comparatively strong robustness for variety of bodily angle.
Unmanned air vehicle remotely-sensed imagery on the low-altitude has the advantages of higher revolution, easy-shooting, real-time accessing, etc. It’s been widely used in mapping , target identification, and other fields in recent years. However, because of conditional limitation, the video images are unstable, the targets move fast, and the shooting background is complex, etc., thus it is difficult to process the video images in this situation. In other fields, especially in the field of computer vision, the researches on video images are more extensive., which is very helpful for processing the remotely-sensed imagery on the low-altitude. Based on this, this paper analyzes and summarizes amounts of video image processing achievement in different fields, including research purposes, data sources, and the pros and cons of technology. Meantime, this paper explores the technology methods more suitable for low-altitude video image processing of remote sensing.
Unmanned air vehicle remotely-sensed imagery on the low-altitude has the advantages of higher revolution, easy-shooting, real-time accessing, etc. It’s been widely used in mapping , target identification, and other fields in recent years. However, because of conditional limitation, the video images are unstable, the targets move fast, and the shooting background is complex, etc., thus it is difficult to process the video images in this situation. In other fields, especially in the field of computer vision, the researches on video images are more extensive., which is very helpful for processing the remotely-sensed imagery on the low-altitude. Based on this, this paper analyzes and summarizes amounts of video image processing achievement in different fields, including research purposes, data sources, and the pros and cons of technology. Meantime, this paper explores the technology methods more suitable for low-altitude video image processing of remote sensing.
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