CPS: TTP OPTION: MEDIUM: DATAG: FIELDDOCK: AN INTEGRATED SMART FARM

The major goals of this project are to develop a fully automated and scalable integrated crop breeding and "smart-farm" platform. The FieldDock system aims to reduce the obstacles of large scale collaborative research efforts that arise from the usual inconsistencies of remote data collection and phenotyping methods by using unbiased, data-driven tools. The proposed FieldDock system also aims to clarify communicative efforts within the scientific community and encourage future collaborative efforts by making proven ML models and crop breeding techniques widely available to anyone who needs them. Lowering the barrier to entry for these advanced crop improvement technologies is vital to optimizing global yields in a changing climate. Therefore, tracking these environmental changes with an integrated and autonomous sensor suite and quantifying their effects on crop performance will empower current and future generations to maintain a strong defense for global food security. We aim to develop a platform capable of supporting a kind of open-source phenotyping where researchers can share ideas, ML algorithms and make widely-available the methods and executions of novel experimental techniques that will accelerate the breeding process globally through standardized data collection and large-scale collaboration.