Data-driven mechanistic modelling in agriculture

DIY type sensors are the modern affordable way for agricultural (spatiotemporal) data collection during the lifetime of a plant. Mechanistic modeling of such datasets is a great way to help refine and sustain concentrations of chemical components at the optimum level in fertilizers to maximize yield.

Data-driven, machine-learning and mechanistic modeling combined is the approach to achieving the global zero-hunger target. #datascience #artificialintelligence #engineering

https://www.sciencedirect.com/science/article/pii/S0168945217310506