CONTROLLING AND MONITORING OF VEGETABLES GROWTH WITH SMART GREENBOX AUTOMATION SYSTEM USING MACHINE LEARNING

NIGO WISNU WIJAYA

Informasi Dasar

120 kali
23.04.2299
000
Karya Ilmiah - Skripsi (S1) - Reference

In today’s digital era, many people use technology to solve their daily problems

or activity. Agricultural technology is one of the technologies that always growing

or developing in terms of creating ideal ways and conditions for a crop. It seems

familiar to see people on the city or urban areas farming in their house, but because

usually they work from morning until down , they can’t control their plants properly.

The presence of Internet of Things (IoT) technology has become a major break

through for societal issues. IoT can simplify people in controlling and monitoring

their crops from anywhere and anytime with remote. Website creation and plant

growth with classification models will be a solution in order to produce plants with

well maintained growth. The tool called greenbox which can contain several plants

that we can monitor and control their growth. The data that will be displayed on the

website is the data taken by the sensor on the greenbox device which is stored in the

firebase database, then the user will carry out commands according to the database.

Sensors are used to determine the value of plant growth parameters.

Based on the existence of sensors that are forwarded to the website and then

processed to determine the parameters with classification threshold of plant needs

to grow optimally, it will help workers in urban areas to control and monitor their

plants from anywhere using the internet. The expectation of this research is that the

output of the system built can be a solution to problems that exist in the community

so that the prototypes that are built can be perfected and marketed to the public.

Keywords: Greenbox, Internet of Things, Firebase

Subjek

INTERNET OF THINGS
 

Katalog

CONTROLLING AND MONITORING OF VEGETABLES GROWTH WITH SMART GREENBOX AUTOMATION SYSTEM USING MACHINE LEARNING
 
 
Indonesia

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Pengarang

NIGO WISNU WIJAYA
Perorangan
Nyoman Bogi Aditya Karna, Arif Indra Irawan
 

Penerbit

Universitas Telkom, S1 Teknik Telekomunikasi (International Class)
Bandung
2023

Koleksi

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