ICACT20210266 Slide.15
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Thank You!
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ICACT20210266 Slide.14
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Farming plans such as selection of planting crops, timing of sowing, and area of cultivation in response to requests for services from service users.
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ICACT20210266 Slide.13
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Conclusions: Therefore, agricultural data to be converged and managed based on ICT and IoT is key foundation.
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ICACT20210266 Slide.12
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Table 1. Classification and types of data for Cultivation Plan Service: Measured Data, Log Data, Expertise Data.
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ICACT20210266 Slide.11
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The data used in the service is classified as measured data (Measured Data) collected from sensors and various instruments, log data collected from previous farm planning advice, and expert data (Expertise Data) containing expert information from agricultural experts.
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ICACT20210266 Slide.10
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All this gathered information is stored in the Agricultural Information Repository, then transferred to Data Analysis Function which analyses the gathered data and produces meaningful results that will help the service process.
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ICACT20210266 Slide.09
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It is composed of Data Analysis Function, and Plan Consulting Function for Cultivation Plan Service as shown in figure 2.
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ICACT20210266 Slide.08
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Reference architecture for Cultivation Plan Service: It is composed of Data Analysis Function, and Plan Consulting Function for Cultivation Plan Service.
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ICACT20210266 Slide.07
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The Big Data Analysis utilizes various types of data such as production cost, market status, and cultivation to analyse them and attain the expected profit or other information for cultivation plan consultation.
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ICACT20210266 Slide.06
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Agricultural information is provided to service users when agricultural producers decide the cultivation plan.
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ICACT20210266 Slide.05
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Concept of Cultivation Plan Service at the Preliminary production stage , Agricultural producers plan at the Preliminary production phase stage on crop type, seeding time, seeding area could cause success or failure after the cultivation.
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ICACT20210266 Slide.04
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converged crop productivity and consequently, increases in the number of impoverished populations by minimum 3.5 million up to 122 million by 2030. world population will increase from 7.6 billion in 2017 to 9.6 billion in 2050.
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ICACT20210266 Slide.03
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Introduction: Agricultural data is the key foundation for Smart Farm models, in which a wide range of Information and Communication Technology (ICT) such as IoT and Big Data
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ICACT20210266 Slide.02
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My presentation consiste of the following contents.
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ICACT20210266 Slide.01
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A Study on the Cultivation Plan Service at the Preliminary production phase based on big data analysis
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