Efficient Fuzzy Controller to Increase Soybean Productivity

Abstract : Soybean production has expanded intensively in South America over the last decades. As the second leading worldwide soybean producer, Brazil has in prospect to increase market share through production growth in soybean areas. Therefore, soybean fields ought to encompass a sizeable region among different types of soil and climate conditions, and so advanced irrigation methods should be advantageous. This present work aims to optimize soybean production through an irrigation system control based on environmental and plant requirements. It was developed an embedded fuzzy controller that is able to process soil moisture, air moisture, temperature, soil type and soybean growth stages and it returns the ideal amount of water. Also, to accomplish the data acquisition, a multiparameter sensor device establishes remote connection and provides continuous in-field measurement. The efficiency of the fuzzy controller and the monitoring unit was verified through simulations, and so, results reached the expected model.
Document type :
Conference papers
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/hal-01629567
Contributor : Hal Ifip <>
Submitted on : Monday, November 6, 2017 - 3:28:53 PM
Last modification on : Sunday, December 17, 2017 - 6:54:05 AM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2020-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Bruno Miranda, Gian Meira, Sidney Montebeller, Edinei Legaspe, Joel Pinto, et al.. Efficient Fuzzy Controller to Increase Soybean Productivity. 8th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2017, Costa de Caparica, Portugal. pp.47-54, ⟨10.1007/978-3-319-56077-9_4⟩. ⟨hal-01629567⟩

Share

Metrics

Record views

105