Farmingpy : Python package for developing digital twins and precision farming data processing

Abstract

Digital twins of cropping systems are under development aiming towards better forecasting and decision-making on farms. A Python package called farmingpy was developed to support the development of digital twins combining machinery data and remote sensing data with the APSIM simulation model. The package can also be used for other precision farming data processing tasks. Shared open-source software packages can provide generic modules and assist the digital twin development processes by reducing duplication of work. The aim of this paper is to present the farmingpy Python package including two use case examples.