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Plant architectures generally display structural variations among individuals. Stochastic FSPMs have been developed to capture such feature, but calibrating such models is a challenging issue. For GreenLab model, parameter identification has been achieved on several crops and trees, but the estimation of functional parameters is mostly limited to plants with deterministic development. In this work,...
Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using...
This paper studies how computer games can be used to popularize the forestry science knowledge and proposes a method of 3D game development based on Virtools platform, which creates 3D models in 3ds max and Maya, then realizes the game functions in Virtools. This paper designs and develops a game based on 3D forest scenes which gets a better balance between knowledge and gameplay. The game enhances...
This paper explores how the gaming technology can be used in the forest knowledge education. Here we bring forward a game design and develop method that based on 3-dimention modeling softwares and Virtools, that is, creates the scenes and character models with 3ds max and Maya, then realizes the interaction control with Virtools. We take “Forest Journey” game as an example to complete the organic...
Persuasion type argument-negotiation system based on agent can meet needs of cooperation among organization. After introduction of this system, advance in this area has been reviewed from three aspects: protocols, strategies and models, development. Then through our research, relative strategies and models, evaluation system and arithmetic in this system have been put forward, which have been verified...
Image categorization plays an important role in the field of image retrieval and automatic annotation. Most existing algorithms adopted the low-level visual features to represent an image and the well-known Bag-of-words model followed by the SVM classifier was employed to fulfill the classification task. In this paper, instead of using the traditional low-level visual features, we employ the perception...
Recently, there has been an increasing need in scientific workflows to solve the shimming problem, the use of a special kind of adaptors, called shims, to link related but incompatible workflow tasks. However, existing techniques produce scientific workflows that are cluttered with many visible shims, which distract a scientist's focus on functional components. Moreover, these techniques do not address...
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