研究结果为用计算机进行作物生长监测提供了理论基础和实用模型，并为农业科研中作物生长参数的测量提供了快速、便捷的方法。
It is an accurate, convenient, clipping method to measure the feature parameters of growing crop. The model and theory is developed to monitor the growth of crop by using computer vision.
农作物本身将被密切监测，每一作物品种将提供给必要的适宜的生长条件，从而提高产量。
Crops themselves will be monitored closely and provided with the exact growing conditions necessary to each species, thereby improving yields.
近年来，许多学者开始致力于研究自动、连续监测植物生长和营养状况信息，把作物的生长情况作为植物栽培标准管理的决策依据。
In recent years, more and more scholars dedicate on the study of automatic and continuous monitoring plants growth and nutrition status in order to improve the precision of nutrition management.
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。
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.
卫星遥感估产和作物生长模拟两项新技术在作物监测和估产方面有巨大的应用价值。
Crop yield estimation by remote sensing and crop growth simulation models have highly potential application in crop growth monitoring and yield forecasting.
对土壤水分进行实时监测，有助于作物的生长、提高肥料的利用率以及避免水资源浪费。
Take real-time monitoring in the moisture content of soil can promote the growing of corps, raise the operating factor of manure and avoid the wasting of water resource.
结果显示，光学测量可以用于监测农作物生长状况的差异。
Results showed that optical measurements can be used to indicate different crop conditions.
结果显示，光学测量可以用于监测农作物生长状况的差异。
Results showed that optical measurements can be used to indicate different crop conditions.
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