Every parameter of microclimate in greenhouse was analyzed respectively by using the model , the results are that the temperature and humidity outside are the most important factors respectively , and solar radiation and lai strongly influence the temperature and humidity inside 利用该模型对影响温室小气候的各个因子进行单独分析,其结果是:室外温度和湿度分别是影响室内温度和湿度的最主要因子,太阳辐射和叶面积指数对室内温湿度都具有很大的影响。
The results showed that yield structure of the middling population treatment were the most excellent as a whole and its grain yield was the highest among the three treatments , while the dynamic of tiller and its formation into panicles , root - bleeding intensity / spikeltes , lai and its structure , dry matter accumulation and transportation were the most reasonable too 结果表明,中等群体处理的产量结构最优,在三处理中稻谷产量最高,其茎蘖消长与成穗、颖花伤流量、叶面积系数与结构以及干物质积累与转运总体上最为合理。
Mean , variance , standard deviation , coefficient of variation of fourteen vital morphological characters indicated that great diversity existed either among species or among populations , with cv ranging from 28 . 89 - 122 . 36 % ( except dtm , which has a cv of 4 . 72 % ) . correlation analysis indicated that il showed a significant positive correlations with pfk ll and lw ( p < 0 . 05 ) , but a negative correlation with nm ( p < 0 . 05 ) . there were also strong positive correlations between each other of ll , lw , la and sw 相关分析表明,节间长度与株高、叶长、叶宽呈显著正相关,而与主茎节数呈显著负相关;叶长、叶宽、叶面积、千粒重四个性状相互之间存在极显著正相关;干重和单株种子产量两者之间存在极显著正相关;出苗率与千粒重之间存在显著负相关;生长习性与分枝数之间存在显著正相关;全生育天数与生长习性之间存在显著负相关。
Secondly , soybeans were cultivated under different nitrogen level in nutrient solution ; the soft was used to statistics the histogram of leaf rgb color value and to calculate the leaf area . the statistics of biomass also was done . the combination of the two ways has revealed the relationship between the digitization rule of rgb and nitrogen level in leaf 第二部分在不同的供氮条件下,培养出具有典型缺氮特征的大豆,利用诊断软件对叶片图像进行rgb灰度直方图统计和叶面积的综合计算,同时也进行生物量的统计,两者结合揭示数字化叶片rgb特征值与供氮水平之间的规律。
Taking erectophile type continuous vegetation as a example , authors had done many monte carlo simulations , and established empirical analytic expressions of radiances with component temperature , soil emissivity and leaf area index . empirical analytic expressions were used to construct objective function and genetic algorithm was employed to synchronously retrieve 5 parameters , such as component temperature , soil emissivity and lai , from thermal infrared 2 channels and 2 angles data . many experiments of genetic algorithm inversion from simulated data were conducted , results show that it is very robust to retrieve component temperature using genetic algorithm ; genetic algorithm can cope with uncertainty inversion problem pretty well if full advantage of priori knowledge was taken . comparison between inversion results and ground - truth data has been done . this paper offers a new example to retrieve component temperature from multi - channel , multi - angle thermal infrared data based on the model of directionality of thermal radiance 在热辐射方向性规律的基础上,以喜直型连续植被为例,进行了大量的monte carlo模拟,建立了辐射亮度和组分温度植被叶面积指数及土壤比辐射率之间的经验函数关系。采用遗传算法,从热红外2个波段2个角度数据中,同时反演混合像元组分温度土壤比辐射率和叶面积指数等5个参数。通过对模拟的观测数据进行大量的遗传算法反演试验,结果表明,遗传算法反演组分温度非常稳健,在宽松的先验知识条件下,遗传算法可以解决不确定性反演问题。