| title: | Use of site specific information in potato production process model |
|---|---|
| reg no: | ETF6092 |
| project type: | Estonian Science Foundation research grant |
| status: | accepted |
| institution: | Estonian Research Institute of Agriculture |
| head of project: | Jüri Kadaja |
| duration: | 01.01.2005 - 31.12.2008 |
| description: | The potato production process model POMOD is constructed on the basis of the principle of maximum plant productivity and derived from it the method of reference yields worked out in Estonia. The model has been up to now applied for solving different tasks related to the influence of weather conditions on the yield. Elaboration of the soil fertility block for this model is in progress on the support of ESF. In connection with some perspective tasks necessity arose for accounting of local differences induced by peculiarities in soil conditions, microclimate and human activities. Besides, the possibilities for obtaining and processing of site specific information have enlarged significantly during the last years. The diversity and amount of site specific information are considerably increased by a new expanding method - precision agriculture, and by the investigations organized for its development. The main goal of this project is development of the POMOD model for using site specific information in the model applications. The specific purposes of this project are: 1. Taking account of differences in simulated irradiation, heat and water conditions depending on peculiarities in relief and microclimate. 2. Relating of model parameters to the indicators existing in soil databases and on the digital soil map. 3. Investigation of chances for applying site specific information collected by means of precision agriculture as model input information and/or for variation of model parameters. 4. Carrying out several model experiments to demonstrate the applicability of site specific information in the production process model. Expected result of the project is an improved model version able to take into consideration the site specific peculiarities, both in meso- and microscale magnitudes. From one hand the improvements allow to use indicators from existing soil databases in the model, from other hand to couple the model parameters with microclimatic features and information measured in the process of precision farming. |
| project group | ||||
|---|---|---|---|---|
| no | name | institution | position | |
| 1. | Jüri Kadaja | Estonian Research Institute of Agriculture | senior researcher | |
| 2. | Heino-Ülo Tooming | Estonian Research Institute of Agriculture | Contractor on ESF grant N 5020 | |