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Computation time analysis of a distributed optimization algorithm applied to automated irrigation networks

Alireza Farhadi, Michael Cantoni, Peter M. Dower
2013 52nd IEEE Conference on Decision and Control  
This paper considers the computation time of two algorithms for solving a structured constrained linear optimal control problem with finite horizon quadratic cost within the context of automated irrigation  ...  By contrast, it is observed via a combination of analysis and experiment that the computation time of the distributed algorithm grows as O(n) with the number n of sub-systems.  ...  However, on the basis of experiments for a particular irrigation network of interest to us, it is observed that the growth of the distributed algorithm computation time in N is bounded above by that of  ... 
doi:10.1109/cdc.2013.6760207 dblp:conf/cdc/FarhadiCD13 fatcat:2opilzc4pnf5tl3ozvlzsh76ia

Computation time analysis of centralized and distributed optimization algorithms applied to automated irrigation networks

Alireza Farhadi, Peter M. Dower, Michael Cantoni
2013 2013 Australian Control Conference  
This paper compares the computation time of two algorithms for solving a structured constrained linear optimal control problem with finite horizon quadratic cost within the context of automated irrigation  ...  By contrast, it is observed via a combination of analysis and experiment that given n times resources for computation the computation overhead of the distributed algorithm grows as O(n) with the number  ...  Specifically, for the particular network of interest to us (the East Goulburn irrigation district No. 12) it was shown that the centralized optimization algorithm cannot provide a computationally tractable  ... 
doi:10.1109/aucc.2013.6697283 dblp:conf/aucc/FarhadiDC13 fatcat:ivoukhcnwzcodirowiwkm25v7m

Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context

Francisco Ferrández-Pastor, Juan García-Chamizo, Mario Nieto-Hidalgo, José Mora-Martínez
2018 Sensors  
IoT architecture, operating rules and smart processes are implemented using a distributed model based on edge and fog computing paradigms.  ...  Different decision trees to automate the installation, designed by the farmer, can be easily deployed using the method proposed in this document.  ...  Fog computing nodes carries out smart analysis and computing, as well as implementing dynamic, real-time self-optimization, and executing policy adjustments.  ... 
doi:10.3390/s18061731 pmid:29843386 pmcid:PMC6022150 fatcat:3f5fk2ox4zb7das4ygkrq2fggu

Automatization of water distribution control for irrigation

Irirna F. Yurchenko
2017 International Journal of Advanced and Applied Sciences  
The relevance of research is determined by the need for automation of water distribution in irrigation systems, due to a significant increase in the load on the service Manager water management in connection  ...  Developed computer information technology allocation on inter-farm irrigation network based on the creation of models with the functions: preparation of fragments of planning water distribution decisions  ...  Data, analysis, and results Computer information technology allocation on inter-farm irrigation network developed by the FEDERAL state scientific institution FSBI "A. N.  ... 
doi:10.21833/ijaas.2017.02.013 fatcat:kzbyvr25tnfq3bmccejvmshmv4

Linear quadratic control computation for systems with a directed tree structure

Armaghan Zafar, Farhad Farokhi, Michael Cantoni
2020 IFAC-PapersOnLine  
The computations at each iteration are amenable to distributed implementation on a network of parallel processors mirroring the tree graph structure of the problem.  ...  A computational method is proposed for solving a structured quadratic optimal control problem subject to linear discrete-time dynamics arising from a directed tree structured interconnection of heterogeneous  ...  The proposed method is applied to determine the set-point references for an automated irrigation network model.  ... 
doi:10.1016/j.ifacol.2020.12.069 fatcat:ansfmvl6hngillzvk7vzujq254

Automated calibration of the simulation model of irrigation projects by harmony search optimization

Milan Čistý
2008 Journal of Water and Land Development  
Automated calibration of the simulation model of irrigation projects by harmony search optimization The paper deals with calibration of the simulation models of hydraulic part of an irrigation project.  ...  Computer model of the water distribution system is a valuable tool which can assist engineers and planners in analyzing the hydraulic performance of water delivery systems.  ...  This may have to be repeated many times to make sure that the model produces a close-enough prediction of the water distribution network in the real world.  ... 
doi:10.2478/v10025-009-0001-1 fatcat:zuovjybil5bylkzx4www66uz3i

Smart Agriculture: The Future of Agriculture using AI and IoT

Sapna Katiyar, Artika Farhana
2021 Journal of Computer Science  
This study presents the survey of researchers work of automation in agriculture with the support of sensors, Agricultural Robots and Drones and AI driven technologies to improve productivity.  ...  , crop disease management, irrigation, harvesting and supply chain management.  ...  Acknowledgement The authors are grateful to ABES Institute of Technology, Ghaziabad, India and Jizan University, Saudi Arabia for the permission to publish this research.  ... 
doi:10.3844/jcssp.2021.984.999 fatcat:k5a52l3n3vhhhl6slpb2gyjbfm

A Framework for Knowledge Discovery from Wireless Sensor Networks in Rural Environments: A Crop Irrigation Systems Case Study

Alfonso González-Briones, José A. Castellanos-Garzón, Yeray Mezquita Martín, Javier Prieto, Juan M. Corchado
2018 Wireless Communications and Mobile Computing  
Since water is a scarce natural resource that should not be wasted, a case study was conducted in an agricultural environment to test the proposed system's performance in optimizing the irrigation system  ...  The obtained results are very promising when compared to a traditional automatic irrigation system.  ...  A cloud system has been employed, as it allows us to approach in real time, to adapt the response in real time and the context of the case study, although edge computing may be a more suitable way to optimize  ... 
doi:10.1155/2018/6089280 fatcat:4ccyrrxjffarzh42k4kizhbnmu

Digital agriculture based on big data analytics: a focus on predictive irrigation for smart farming in Morocco

Loubna Rabhi, Noureddine Falih, Lekbir Afraites, Belaid Bouikhalene
2021 Indonesian Journal of Electrical Engineering and Computer Science  
Due to the spead of objects connected to the internet and objects connected to each other, agriculture nowadays knows a huge volume of data exchanged called big data.  ...  The method used in this paper combines big data, remote sensing and data mining algorithms (neural network and support vector machine).  ...  Databricks as an open-source distributed computing framework provided automated cluster management.  ... 
doi:10.11591/ijeecs.v24.i1.pp581-589 fatcat:h3wrbjrs4rbhjeiu72z4e3dqpm

IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system using machine learning approach for efficient water usage

Ashutosh Bhoi, Rajendra Prasad Nayak, Sourav Kumar Bhoi, Srinivas Sethi, Sanjaya Kumar Panda, Kshira Sagar Sahoo, Anand Nayyar
2021 PeerJ Computer Science  
The gathered data are forwarded and stored in a cloud-based server, which applies ML approaches to analyze data and suggest irrigation to the farmer.  ...  In the traditional irrigation process, a huge amount of water consumption is required which leads to water wastage.  ...  ACKNOWLEDGEMENTS The authors wish to thank the Department of Computer Application of NIT Raipur for making available the Crop dataset.  ... 
doi:10.7717/peerj-cs.578 fatcat:swqnbk2szzcutlxedmaonlndpy

An intelligent irrigation system based on internet of things (IoT) to minimize water loss

Samar Amassmir, Said Tkatek, Otman Abdoun, Jaafar Abouchabaka
2022 Indonesian Journal of Electrical Engineering and Computer Science  
This paper proposes a comparison of three machine learning algorithms for a better intelligent irrigation system based on internet of things (IoT) for differents products.  ...  The Arduino is connected to Raspberry Pi3, which holds the machine learning algorithm. It turned out to be ANN algorithm is the most accurate for such system of irrigation.  ...  Network parameter optimization (NPO) algorithm is a new metaheuristic optimization algorithm to simulate the human behavior in their motion when searching for water and food [2] .  ... 
doi:10.11591/ijeecs.v25.i1.pp504-510 fatcat:t4qa77qsdvfsthmyrqxa7ni22i

Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis

Alireza Abdollahi, Karim Rejeb, Abderahman Rejeb, Mohamed M. Mostafa, Suhaiza Zailani
2021 Sustainability  
The computer program VOSviewer was used to generate the keyword co-occurrence network and partition the pertinent literature. Findings show the remarkable growth of WSN research in recent years.  ...  On the basis of bibliometric techniques, 2444 publications were extracted from the Scopus database and analyzed to identify the temporal distribution of WSN research, the most productive journals, the  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su132112011 fatcat:q2kggvgbbngjphuituua3a5lvu

Dimensioning of Wide-Area Alternate Wetting and Drying (AWD) System for IoT-Based Automation

Mushran Siddiqui, Farhana Akther, Gazi M. E. Rahman, Mohammad Mamun Elahi, Raqibul Mostafa, Khan A. Wahid
2021 Sensors  
The proposed automation algorithm handles the complexity of maintaining proper water pressure throughout the pipe network, scheduling the pump, and controlling the water outlets.  ...  Automation of large-scale (over 1000 acres) implementation of AWD can be carried out using wide-area wireless sensor network (WSN).  ...  Acknowledgments: The authors would like to acknowledge the support from RI@B (Research Initiative at Bangladesh), San Diego, CA, USA, an organization for this research project, BRRI (Bangladesh Rice Research  ... 
doi:10.3390/s21186040 pmid:34577246 pmcid:PMC8467806 fatcat:2nuezznhxfhvdm3m7v22csjog4

Artificial Intelligence to Improve the Food and Agriculture Sector

Rayda Ben Ayed, Mohsen Hanana
2021 Journal of Food Quality  
Such requirement, in a context of resources scarcity, climate change, COVID-19 pandemic, and very harsh socioeconomic conjecture, is difficult to fulfill without the intervention of computational tools  ...  Hereby, we report the importance of artificial intelligence and machine learning as a predictive multidisciplinary approach integration to improve the food and agriculture sector, yet with some limitations  ...  Based on geospatial technology that relies on satellite, GIS is applied on several fields of agriculture: crop management, irrigation control, yield estimation, disease and weed control, farming automation  ... 
doi:10.1155/2021/5584754 doaj:0a966d4e11d14561b43c4c583f533232 fatcat:qua2nk3pn5bpvgsk4boki7kgey

Sensor-Based Model Driven Control Strategy for Precision Irrigation

Camilo Lozoya, Carlos Mendoza, Alberto Aguilar, Armando Román, Rodolfo Castelló
2016 Journal of Sensors  
The proposed model uses a predictive algorithm that senses soil moisture and weather variables, to determine optimal amount of water required by the crop.  ...  This paper presents a model driven control strategy applied to an irrigation system, in order to make an efficient use of water for large crop fields, that is, applying the correct amount of water in the  ...  Acknowledgments The authors would like to thank the "Fondo Mixto de Fomento a la Investigación Científica y Tecnológica CONA-CyT, Gobierno del Estado de Chihuahua, México," for funding this project.  ... 
doi:10.1155/2016/9784071 fatcat:dwxmqqfxafh7ppuzac7lgreclq
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