These two models could be used as the best models for the estimation of spring wheat aboveground fresh biomass on Longzhong Loess Plateau.
因此,上述两个模型可作为陇中黄土高原地区春小麦地上鲜生物量的最佳估算模型。
参考来源 - 黄土高原春小麦地上鲜生物量高光谱遥感估算模型The tested results about the regression models induced that r/g was the best parameter to monitor ground fresh biomass density. The predicted model was GFBD=-182805.5210 +256694.0099(r/g)(R~2=0.5143~(**)),and the right percent was about 78.82%.5.
颜色参数与地上部鲜生物量间的相关性不显著,但与生物量密度间呈极显著相关;以相关性最高的r/g所建立的棉花生物量密度预测模型为GFBD=-182805.5210+256694.0099(r/g)(R~2=0.5143~(**)),预测精度达到了78.82%,可以“r/g”作为监测棉花生物量密度的颜色指标。
参考来源 - 棉花主要农艺性状的图像识别研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Pyrolysis gasification semicoke charateristics of two kinds of fresh biomass were studied in order to better investigate the pyrolysis gasification mechanism of fresh biomass.
为了更全面地研究新鲜生物质的热解气化过程，对二种新鲜生物质不同热解气化条件下的半焦特性进行了研究。
It is important to study and compare the relationship between root fresh weight, aboveground biomass and protein content with different varieties soybean.
所以研究比较不同品种大豆根鲜重、地上生物量与籽粒蛋白含量的关系对大豆育种具有重要意义。
By the means of semi-stability, the ratios of edible part and non-edible part, dry and fresh parts of its biomass were tested, the nutrient components were given.
采用半定位方法测定了柠条丛生物量(鲜重)可食与不可食部分之比及生物量的干鲜比及其营养成分。
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