2篇
您的检索式：作者名="THOLEN Danny"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | The next generation models for crops and agro-ecosystems显示文摘Growth in population, decrease in arable land area, and change in climate are endangering our food security. Precision agriculture has the potential to increase crop productivity thorough tailored agricultural practices for different growing areas. Many models of crops and agro-ecosystems capable of predicting interaction between plants and environments have been developed for precision agriculture. Currently, there are several representative categories of crop and agro-ecosystem models, including the de Wit school models, the DSSAT series models and the APSIM series models, which have contributed substantially to improvement of agricultural practices. However, these models are weak in predicting performances of crops under environmental and genetic perturbations are generally weak, which severely limits the application of these models in guiding precision agriculture. We need to develop the next generation crop and agro-ecosystems models with a high level of mechanistic basis, which can be integrated with high throughput data and can predict the heterogeneity of environmental factors inside canopy and dynamic canopy photosynthesis. In developing such a model close collaboration is inevitably required among scientists from different disciplines. The successful development and application of such models will undoubtedly advance precision agriculture through providing better agronomical practices tailored for different growing environments. These models will also form a basis to identify breeding targets for increased productivity at given location with given soil and climatic conditions. | ZHU XinGuang ZHANG GuiLian THOLEN Danny WANG Yu XIN ChangPeng SONG QingFeng | 2011 | Science China(Information Sciences)2011，54，3： | 6 |
| 2 | ePlant for quantitative and predictive plant science research in the big data era --Lay the foundation for the future model guided crop breeding, engineering and agronomy显示文摘背景在着急地在最近的十年统一陆地区域基础上的庄稼产量的全球人口,气候变化和停滞的增加打电话让一条新途径支持当代的庄稼改进。ePlant 与机械学的细节的高水平是植物生长和开发的一个数学模型遇见这挑战。结果 ePlant 集成为过程发生在开发的模块急速地不同时间( 108106 秒)并且空间( 101010 米)可伸缩,合并多样的物理、生物物理、生物化学的过程包括基因规定,新陈代谢的反应,底层运输和散开,精力吸收,转移和变换,机关形态发生,植物环境相互作用,等等。单个模块用一条 divide-and-conquer 途径被开发;在不同时间、空间的规模的模块进一步通过转移 variables.We 是综合的基于信息几何学建议一个监督学习过程为两知识发现和模型扩展或进展联合模型和数据。我们最后讨论一个全球协会的最近的形成,它在植物生物学包括专家,计算机科学,统计,农学, phenomics ,等等试图由支持模型作为一个社区努力被开发而不是在哪儿的一个新模型开发范例帮助 ePlant 或它的等价物的开发和应用程序主要由单个实验室努力开车。结论 ePlant 支持量、预兆的植物科学研究的一个主要研究工具,将在未来模型起一个关键作用指导庄稼工程,繁殖并且农学。 | Yi Xiao Tiangen Chang Qingfeng Song Shuyue Wang Danny Tholen Yu Wang Changpeng xin Guangyong Zheng Honglong Zhao Xin-Guang Zhu | 2017 | Frontiers of Electrical and Electronic Engineering in China2017，5，3： | 3 |
您所在的机构暂未开通此部分的功能，请联系管理员