Computational Model Library

AgriAdopt (1.0.0)

The purpose of this model is to project the dynamics of technology adoption of autonomous weeding robots by sugar beet producing farmers in North Rhine-Westphalia (NRW). Moreover, the design of the model serves the purpose to investigate second-order effects of robot adoption on shifts in farm income and on production quantities of main crops produced in North Rhine-Westphalia. One aim is to analyse the impact of technology attributes and costs of pesticides on adoption patterns.

Release Notes

First Beta

Associated Publications

AgriAdopt 1.0.0

Submitted by Sebastian Rasch Published Mar 26, 2024 Last modified Mar 26, 2024
agricultural economics

The purpose of this model is to project the dynamics of technology adoption of autonomous weeding robots by sugar beet producing farmers in North Rhine-Westphalia (NRW). Moreover, the design of the model serves the purpose to investigate second-order effects of robot adoption on shifts in farm income and on production quantities of main crops produced in North Rhine-Westphalia. One aim is to analyse the impact of technology attributes and costs of pesticides on adoption patterns.

Release Notes

First Beta

Cite this Model

Sebastian Rasch (2024, March 26). “AgriAdopt” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/348dec6a-c9f5-492f-b7c0-9485a3cc6856/releases/1.0.0/

Replication of a previously described model

No. It uses code snippets from the Model in Huber et al. (2021) https://doi.org/10.1111/1477-9552.12447

References

https://doi.org/10.1111/1477-9552.12447
https://doi.org/1–26. 10.1007/s11119-023-10015-x
https://doi.org/105948. 10.1016/j.compag.2020.105948
https://doi.org/10.1016/j.dib.2021.107007
https://doi.org/103074. 10.1016/j.agsy.2021.103074

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Contributors
Sebastian Rasch
DOI
No assigned DOI
Model Version
1.0.0
License
MIT
Programming Language
Java
Software Framework
Repast Simphony
Operating System
Operating System Independent
Publish Date
Tuesday, March 26, 2024
Last Updated
Tuesday, March 26, 2024
Downloads 8
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.0.0 Sebastian Rasch Tue Mar 26 12:52:26 2024 Tue Mar 26 12:52:26 2024 Published

Discussion

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