We are looking for an enthusiastic and highly motivated postdoc to work on a multidisciplinary research project on machine learning methods to enable data-driven decisions at a farm level, from yield prediction to fertilizer optimization. You will be part of the
Digital Future Farm project, a flagship project of Wageningen University and Research, working together with field experts from several science groups, and contribute to a new understanding on emerging data-driven innovations for agricultural production and food security.
The main goal of the Digital Future Farm project is to create a "digital twin" of arable and dairy farms able to mimic farm process interactions and allow for the exploration of interventions. To achieve this aim, the project puts together multifaceted, multiscale data (from remote sensing, IoT sensors, farm-management systems) and process-based models in a common infrastructure. Part of the project is to investigate new applications artificial intelligence, as machine learning, deep learning, and reinforcement learning techniques to improve decision-making at a farm-level. Using real and simulated data you will be challenged to design and implement artificial intelligence models for estimating farm yields and nutrients application, and evaluate their performance using the Digital Future Farm project case studies. Your overarching ambition will be a methodological contribution in the area of machine learning applications for farm-level decision making.
The candidate will be hosted with the Geo-Information Science and Remote Sensing Laboratory at Wageningen University. Check out
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