نتایج جستجو برای: crop models
تعداد نتایج: 971294 فیلتر نتایج به سال:
There is a growing concern that climate changes will lead to significant impact to agriculture, thus having a global effect in food production. The application of crop models to study the potential impact of climate change and climate variability provides a direct link between models, science and the concerns of the society. The objective of this work is to demonstrate an information architectu...
This paper develops and estimates mixture models of crop price comovements using copula functions, which allow for departures from normality during extreme market circumstances. The models also account for unique time series patterns inherent in crop price data. The paper reaches two main conclusions. First, mixture models appear to provide an easy-to-estimate approach for capturing real-life c...
Agricultural investigations use computer models for simulation of crop growth and field water management. By using these models, the effects of plant growth parameters on crop yields are simulated, hence, the experimental costs are reduced. In this paper, the model of MSM (Maize Simulation Model) was calibrated and validated for the prediction of maize forage production at Agricultural College,...
Agricultural Extension services are among the most important rural services in developing countries. The services are considered to be a key driver of technological change and productivity growth in agriculture. In Kenya, like in the rest of the developing economies, agricultural extension has largely been delivered through supply–driven approaches. Due to perceived low impact of agricultural e...
This paper provides a comprehensive review of literature related to the assessment of climate change impacts on crop productivity using climate, water and crop yield models. The existing studies present that climate change models with higher spatial resolution can be a way forward for future climate projections. Meanwhile, stochastic projections of more than one climate model are necessary for ...
We show the error in water-limited yields simulated by crop models which is associated with spatially aggregated soil and climate input data. Crop simulations at large scales (regional, national, continental) frequently use input data of low resolution. Therefore, climate and soil data are often generated via averaging and sampling by area majority. This may bias simulated yields at large scale...
Development and use of crop models has become an interdisciplinary field with the increase on one hand of the biophysical knowledge and the development of numerous dedicated software platforms on the other hand. This trend calls for formalizing the integration of the disciplinary contributions of scientists having different expertises needed in crop modelling : agronomists, mathematicians, soft...
Typical use cases of the crop simulation models consist of such operations as parametric identification, yield forecast and optimization, analysis of different technologies etc. All these tasks relate to multiple running of the model with several variants of input parameters and can be automated by means of polyvariant crop simulation framework which allows performing the multiple running in th...
Crop decision planning is an important part of effective farm management. Because of the many uncertain factors such as weather variations, technology advances, and crop yields and prices, all of which prove to change considerably, decision planning can be very complex. The focus of this paper is to develop accurate yield and price forecasting models to aid in decision planning. For yield forec...
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