Precision agriculture (PA) aims to apply the right material and the right application rate, at the right time and at the right place, using the right method. This is difficult and therefore practitioners of PA need recommendations based on data and models to help them make the right decisions. In the case of late blight, recommendations can help to prevent over-application of fungicides (which is costly and harms the environment unnecessarily) as well as under-application of fungicides (which would lead to infection of the crop with late blight and consequent financial loss).
Problem statement / motivation
In this project we connect several sources of data and several models in order to make a recommendation for the application of fungicide to protect potatoes from infection with late blight (Phytophthora infestans L.).
Solution / approach
This project connects data and models from several scientific disciplines: soil science, climatology, agronomy and phytopathology, in order to generate practical recommendations for farmers. We use web services
as the primary tool to connect data sources and models (see Figure). The final step, a real-time link between soil moisture model and potato growth model will be realized in the future. We have encountered no major problems: connecting data and models using web services works very well.