An IoT based Smart Irrigation Management System using Reinforcement Learning modeled through a Markov Decision Process

被引：6

作者：

Campoverde, Luis Miguel Samaniego ^{[1
]}

Tropea, Mauro ^{[1
]}

De Rango, Floriano ^{[1
]}

机构：

[1] Univ Calabria, Dimes Dept, Arcavacata Di Rende, Italy

来源：

PROCEEDINGS OF THE 2021 IEEE/ACM 25TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED SIMULATION AND REAL TIME APPLICATIONS (DS-RT 2021) | 2021年

关键词：

Smart Irrigation; Markovian Decision Process; Internet of Things; Reinforcement Learning;

D O I：

10.1109/DS-RT52167.2021.9576130

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the proposal of an irrigation system exploiting IoT is provided. The proposed system, based on IoT sensors and smart platforms such as Raspberry PI and Arduino, is able to manage farm operations in term of irrigation. The control of water pumps for irrigation is driven by two important parameters: soil moisture and evapotranspiration. The system uses a Reinforcement Learning approach based on Markov Decision Process in order to learn the right water amount needed by the plants. This approach allows to reduce both water and energy consumption. The proposal has been compared with a conventional irrigation system that normally is based on a soil humidity threshold and takes its decision considering the threshold setting. Conducted experiments show the water and energy saving by the use of the proposed Smart Irrigation system.

引用

页数：4

共 11 条

[1] [Anonymous], 2017, SIMULTECH 2017 P 7 I, DOI DOI 10.5220/0006466303740379
[2] Chieochan O, 2017, INT JOINT CONF COMP
[3] An IoT based smart irrigation management system using Machine learning and open source technologies
Goap, Amarendra
Sharma, Deepak
Shukla, A. K.
Krishna, C. Rama
[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 155 : 41 - 49
[4] A Systematic Review on Monitoring and Advanced Control Strategies in Smart Agriculture
Hassan, Syeda Iqra
Alam, Muhammad Mansoor
Illahi, Usman
Al Ghamdi, Mohammed A.
Almotiri, Sultan H.
Su'ud, Mazliham Mohd
[J]. IEEE ACCESS, 2021, 9 : 32517 - 32548
[5] Jia SD, 2015, CHIN CONTR CONF, P3097, DOI 10.1109/ChiCC.2015.7260117
[6] Smart irrigation system with an Android-based remote logging and control
Ogidan, Olugbenga Kayode
Afia, Kennedy Richmond
[J]. 2019 IEEE AFRICON, 2019,
[7] Peraka Shyam, 2020, 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), P611, DOI 10.1109/ICIIS51140.2020.9342736
[8] Dantas RAS, 2020, PROCEEDINGS OF 2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (METROAGRIFOR), P109, DOI [10.1109/metroagrifor50201.2020.9277588, 10.1109/MetroAgriFor50201.2020.9277588]
[9] Arduino based Smart Irrigation System for Home Gardening
Selvaraj, Kailasam
Iswarya, M.
Ramyasri, S.
Keerthika, Anu M. S.
[J]. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021), 2021, : 1284 - 1288
[10] Sharma A., 2020, IEEE ACCESS

← 1 2 →