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The next generation models for crops and agro-ecosystems |
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| Authors: | ZHU XinGuang ZHANG GuiLian THOLEN Danny WANG Yu XIN ChangPeng & SONG QingFeng Plant Systems Biology Group CAS-MPG Partner Institute Key Laboratory for Computational Biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai China |
| Affiliation: | ZHU XinGuang 1,2,ZHANG GuiLian 1,THOLEN Danny 1,WANG Yu 1,XIN ChangPeng 1 & SONG QingFeng 1 1 Plant Systems Biology Group,CAS-MPG Partner Institute and Key Laboratory for Computational Biology,Shanghai Institutes for Biological Sciences,Chinese Academy of Sciences,Shanghai 200031,China,2 Institute of Plant Physiology and Ecology,Shanghai Institute for Biological Sciences,Shanghai 200032 |
| Abstract: | 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 Wi... |
| Keywords: | crop models ecosystem models crop yields nonlinear analysis photosynthesis |
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