نتایج جستجو برای: crop modelling
تعداد نتایج: 229326 فیلتر نتایج به سال:
Often, in dynamical systems, such as farmer’s crop choices, the dynamics is driven by external nonstationary factors, such as rainfall, temperature, and economy. Such dynamics can be modelled by a nonstationary Markov chain, where the transition probabilities are logistic functions of such external factors. We investigate the problem of estimating the parameters of the logistic model from data,...
The paper presents an improved version of the Virtual Canopy model VICA (Wernecke et al. 2000), which is developed to establish a generic functional-structural plant model (FSPM; cf. Vos et al. this volume) specified for barley (Hordeum vulgare L.). The model core is formulated as a set of hierarchically structured objects. These objects are related to morphological and functional ‘plant units’...
In a semi-arid environment, the main challenge for crop production is water limitation in space and in time. Considered as appropriate tools, models are used to evaluate the effects of water deficit on crop productivity for better irrigation planning and sustainable yield. The AquaCrop model was tested using data collected during a 4-year experiment on soybean (Glycine max L. Merril) and s...
Virtual plants describe functionally and geometrically plants as sets of interconnected organs. As many plant processes are driven by light, virtual plants require the estimation of the light absorbed by each organ. This has motivated the development of dedicated light models taking profit from the 3D geometry provided by virtual-plant models. We first introduce the principles governing the phy...
The article examines new methodologies for modelling crop yield in agricultural regions of Russia based on the use remote capabilities to get information field state. proposed approach can be applied develop indicator systems and create methodological platforms models necessary obtain more accurate estimates. In comparison with traditional regression model, this method uses computer vision tech...
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