Remote Multi-control Smart Farm with Deep Learning Growth Diagnosis Function (다중 원격 제어와 딥러닝 생장 진단 기능을 가지는 스마트 팜)

Mi-jin Kim (김미진); Ji-ho Kim (김지호); Dong-hyeon Lee (이동현); Han Jung Hoon (한정훈)

doi:10.9708/jksci.2022.27.09.049

Remote Multi-control Smart Farm with Deep Learning Growth Diagnosis Function

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2022, 27(9), pp.49-57
DOI : 10.9708/jksci.2022.27.09.049
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : August 9, 2022
Accepted : September 16, 2022
Published : September 30, 2022

Mi-jin Kim ¹, Ji-ho Kim ¹, Dong-hyeon Lee ¹, Han Jung Hoon ¹

¹제주대학교

Accredited

ABSTRACT

Currently, the problem of food shortage is emerging in our society due to climate problems and an increase population in the world. As a solution to this problem, we propose a multi-remote control smart farm that combines artificial intelligence (AI) and information and communication technology (ICT) technologies. The proposed smart farm integrates ICT technology to remotely control and manage crops without restrictions in space and time, and to multi-control the growing environment of crops. In addition, using Arduino and deep-learning technology, a smart farm capable of multiple control through a smart-phone application (APP) was proposed, and Ai technology with various data securing and diagnosis functions while observing crop growth in real-time was included. Various sensors in the smart farm are controlled by using the Arduino, and the data values of the sensors are stored in the built database, so that the user can check the stored data with the APP. For multiple control for multiple crops, each LED, COOLING FAN, and WATER PUMP for two or more growing environments were applied so that the user could control it conveniently. And by implementing an APP that diagnoses the growth stage through the Tensor-Flow framework using deep-learning technology, we developed an application that helps users to easily diagnose the growth status of the current crop.

KEYWORDS

Smart farm, Arduino, sensor, deep learning, database, multi-control

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* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Remote Multi-control Smart Farm with Deep Learning Growth Diagnosis Function

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Remote Multi-control Smart Farm with Deep Learning Growth Diagnosis Function

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.