DOI: 10.31220/agriRxiv.2022.00165

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  Abstract: Abstract Software for a real-time digital twin of crop production system was developed for supporting farming decisions. Software couples the APSIM crop simulation model with data from precision farming equipment, real-time on-field and remote sensing. A field managed according to precision farming practices and equipped with underground soil temperature and moisture sensors and local weather station was used as a test case. The software automatically initialized the simulation model based on ISOBUS time log data from sowing. The field was divided into unique zones with averaged parameters implemented in the simulation. Sensor data was continuously copied to Mongo database and the model was run daily to monitor the crop status. Yield maps obtained from combine harvester and leaf area index predicted from earth observation data were used to calibrate the simulation. Further development and fitting the system to the researchers and farmers needs will be done in the future study. The digital twin will offer researchers opportunities for real time management of crops and a tool for studying spatial variability of growing conditions within fields.

  Key words: software; time; precision; researchers; digital twin; rea

  Submit time: 1 January 2022

  Copyright: The copyright holder for this preprint is the author/funder, who has granted agriXiv a license to display the preprint in perpetuity.
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