Accurate spatial modeling of agricultural field run-off within fields and the surrounding environment

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Organisation

Aalto University

Description

Water balance is a critical aspect of agriculture. In irrigated fields it is important to know when and how much additional water is required. In non-irrigated fields knowing the water balance in the field is a critical aspect in estimating within field growth potential and thus, for example, guide the planning of future field operations. The agricultural water system is also affected by and affects the behavior surface and ground water in the vicinity of the field. However, accurate measuring of this whole system is complex, and therefore modeling of the water both within fields and in the immediate vicinity can provide immense help in assessing the situation. Precise and accurate models of agricultural fields, including the soil up to several meters in depth, can therefore help in managing the farm, and thus contribute to smart farming and improve the eco-friendliness of farms.

PhD project description:

The doctoral researcher tackling this topic will research the means for precise and accurate modeling of agricultural fields and their immediate vicinity. The goal is to provide better tools for smart farming and for managing the ecological impacts of agriculture. An important application area for the field models will be within-field water balance as well as the interaction of the water within the field and the water in the immediate surroundings.

Link to DIWA Research theme:

Tasks 1.2, 1.3, 3.1, 3.2

Link to PhD pilot Key research area:

4) Agricultural water system, observations and management.

Specific requirements:

The position requires understanding of spatial models, and the ability to develop and assess models based on the available data. In addition, understanding of water modeling and agriculture is very important. Experience in spatial data modeling, spatial data analysis, and spatial statistics is a definite merit for an application. Possible background for a successful applicant includes relevant studies in geoinformatics, in water management, in agricultural sciences, or a similar field.

Secondment/:

Links with Luke Maaninka and other Luke agricultural field research infrastructures

Dept./Faculty to which the thesis belongs

Geoinformatics / Department of Built Environment / School of Engineering / Aalto University

Principal supervisor

Prof. Henrikki Tenkanen

2nd supervisor

Dr. Jussi Nikander

3rd supervisor

Secondment host