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Development Of Precision Aquaculture Management Platform And Software

Posted on:2023-03-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y LuoFull Text:PDF
GTID:2543306842971319Subject:Agriculture
Abstract/Summary:PDF Full Text Request
At present,79.8% of aquatic production in China comes from aquaculture.In 2020,the total aquatic production reached 65.4902 million tons,and aquacultural output accounted for 52.2420 million tons,increasing 2.86% compared with the production of2020.Although the scale of aquaculture in China continues to expand,the mechanization rate of aquaculture is only 31.66%.Most production still rely on farmers’ experience for aquaculture.Intelligent aquaculture can combine information technology with fishery to realize intelligent,precise and unmanned aquaculture activities.At present,there are related researches in disease diagnosis,water quality monitoring,comprehensive management,traceability,feeding,etc.Feeding is an element in aquaculture.How to feed the cultured fish precisely and conveniently attract many research interests.This study aims to develop a precision aquaculture platform to provide a useful tool to conduct aquacultural management conveniently for farmers and related stakeholders.The precision aquaculture management platform includes feed management,fishery medicine management,pond management,growth prediction,nitrogen and phosphorus output prediction and water quality monitoring,as well as feeding functional modules.The platform is developed in the Win10 operating system,the VMware virtual machine environment with mac OS10.13 operating system,including mobile and Web versions,where mobile includes Android and i OS systems.The Web version mainly uses HTML,CSS,Java Script for development,and uses Ajax to achieve front-and rear-end data interaction,and Postgre SQL database for data storage.Mobile version was developed using a cross-platform Ionic framework,paired with Cordova to package the code into Android or i OS installation packages.This study analyzes the technical feasibility and operational feasibility,makes a systematic analysis from the performance requirements,operation requirements,functional requirements and other aspects in combination with the actual situation.Then,according to the demand analysis,the system architecture and related technologies are determined;the functional process of the system is determined,and the database design is carried out.Finally,the code of Web and mobile versions is written,so as to realize on-demand feeding,accurate feeding,remote operation,reduce waste output,reduce manpower and facilitate efficient aquaculture management.
Keywords/Search Tags:Smart aquaculture, internet of things, precision feeding, water quality monitoring, bioenergetics
PDF Full Text Request
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