Crop identification is the basic work in crop yield estimation.
作物识别是遥感作物估产的基础。
The model proved to be able to increase the accuracy of crop identification and image classification.
通过分类验证，使用该模型进行图像增强后，有助于提高农作物识别与图像分类的精度。
But sometimes some different crop informations mix up for the similar spectral characters in the image so as to decrease the accuracy of crop identification.
由于某些同期农作物在特定时期特定光谱段具有相似的光谱特征，在图像解译和分类时容易混淆，降低了农作物识别的精度。
It is a effective way to normalize the seed market radically that establish the DNA fingerprint database of crop varieties and the relevant variety identification standard.
建立作物品种DNA指纹库并制定相关的鉴定标准，是一条从根本上规范我国种业市场的有效途径。
The study on the hyperspectral image classification is valuable to crop growth monitoring, mineral identification and seawater analysis as well as many other useful aspects.
超谱遥感图像的分类研究对农作物生长状况的监测、矿物的识别、海洋水色分析以及其他方面的许多应用都是很有价值的。
NKJ-1 model crop drought resistance identification instrument was manufactured on the basis of continuous rising temperature conductance method (CRTC). Put forward first by Chen Yuquan etc.
依据陈毓荃等首次提出的连续升温电导法(CRTC)，研制了NKJ - 1型农作物抗旱性鉴定仪。
The sequence significantly accelerates the identification of key traits for the oilseed-producing crop and advances its development as a high yielding, low-cost source for next generation biofuel.
序列大大加速了油籽生产作物关键性状的鉴定，并促进了它作为高产量、低成本的新一代生物燃料来源的开发。
The sequence significantly accelerates the identification of key traits for the oilseed-producing crop and advances its development as a high yielding, low-cost source for next generation biofuel.
序列大大加速了油籽生产作物关键性状的鉴定，并促进了它作为高产量、低成本的新一代生物燃料来源的开发。
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