Decifarm: A Fuzzy Decision-support Environment for Smart Farming

被引:1
作者
Dantan, Jerome [1 ]
Zghal, Hajer Baazaoui [2 ,3 ]
Pollet, Yann [4 ]
机构
[1] UniLaSalle, INTERACT Res Unit, 3 Rue Tronquet, F-76130 Mont St Aignan, France
[2] CY Univ, ETIS UMR 8051, ENSEA, CNRS, F-95000 Cergy, France
[3] Manouba Univ, Riadi Lab, ENSI, Manouba, Tunisia
[4] CEDRIC Lab, Cnam, Paris, France
来源
ICSOFT: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON SOFTWARE TECHNOLOGIES | 2020年
关键词
Decision Support; Fuzzy Logic; Sensor Network; Agriculture;
D O I
10.5220/0009828901360143
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Farmers need smart tools to optimize their crops and production. They need other agricultural experts such as advisors, accounting companies and also systems and software tools for decision support. The proposed solution is a fuzzy decision support Environment for smart farming (Decifarm) intended to ensure better data structuration extracted from farms, automated calculations, reducing the risk of missing operations, while ensuring data security. We designed a modular architecture to carry out these problems: we first provide crops phenological stages from both historical and forecast weather open data as well as historical data from sensors previously implemented, located at the parcels, with large amounts of data stored into a No-SQL document database; second, we provide control of an automatic water system based on fuzzy logic; finally, a prototype of hardware and software environments was designed from open hardware components, open source languages and open data, promoting both interoperability and extensibility.
引用
收藏
页码:136 / 143
页数:8
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