Leveraging IoT solutions as a base for development of the agriculture advisory services

被引：0

作者：

Mueller, Szymon ^{[1
]}

Plociennik, Marcin ^{[1
]}

Zacharczuk, Maciej ^{[2
]}

Fojud, Adam ^{[2
]}

Blaszczak, Michal ^{[1
]}

Laskowska, Alicja ^{[1
]}

Palma, Raul ^{[1
]}

机构：

[1] Inst Bioorgan Chem PAS, PSNC, Poznan, Poland

[2] Wielkopolski Osrodek Doradztwa Rolniczego Poznani, Poznan, Poland

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS (IEEE COINS 2022) | 2022年

基金：

欧盟地平线“2020”;

关键词：

decision support system; IoT; integrated plant protection; apiary management; smart agriculture; interoperability;

D O I：

10.1109/COINS54846.2022.9854950

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Plant protection is one of the key factors determining the quality of agricultural production. In this paper, we present the results regarding the implementation and deployment of the Polish decision support system (DSS) for integrated plant protection, as part of the large scale national project called eDwin. At the core of the DSS is an IoT network of agro-meteorological stations deployed across the whole Poland. Additionally, the DSS leverages a set of automatic phenological observation stations that are deployed in selected experimental fields. After the deployment and validation of several pest prediction models, the DSS currently allows Polish farmers and advisors to access and use 20 models related to the main cultivations in Poland. Moreover, a digital platform for the farmers and advisors has been designed and developed, providing four e-services, complemented with interoperable mechanisms and APIs.

引用

页码：319 / 324

页数：6

共 15 条

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