Skip to Main content Skip to Navigation
Conference papers

A New Approach for Crop Rotation Problem in Farming 4.0

Abstract : Technology and innovations have long improved farming over the world and, as Industry 4.0 quickly spread, farmers have embraced high-level automation and data exchange, driving a transformation called Farming 4.0. Consequently, precise and even real-time field information have become easily accessible. Though, analyzing all this information requires great skills and tools, like mathematical knowledge and powerful computational algorithms to reach farmers expectations. This research explores the Crop Rotation Problem (CRP) and its relevance for the integration of Precision Agriculture (PA) and farm management. This paper presents a new mathematical approach for the CRP based on the nutrient balance and crop requirements, increasing the sustainable appealing of the problem. A real-encoded genetic algorithm (GA) was developed for optimization of the CRP. The results indicate good performance in mid and long-term crop scheduling.
Document type :
Conference papers
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download

https://hal.inria.fr/hal-02295231
Contributor : Hal Ifip <>
Submitted on : Tuesday, September 24, 2019 - 9:56:10 AM
Last modification on : Tuesday, September 24, 2019 - 10:01:49 AM
Long-term archiving on: : Sunday, February 9, 2020 - 9:24:51 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Bruno Miranda, Akebo Yamakami, Priscila Rampazzo. A New Approach for Crop Rotation Problem in Farming 4.0. 10th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2019, Costa de Caparica, Portugal. pp.99-111, ⟨10.1007/978-3-030-17771-3_9⟩. ⟨hal-02295231⟩

Share

Metrics

Record views

73