Smart garden and data analytics for basil plant sustainability / Daren P. Mendoza, Rowell Renz U. Pagayunan, Mark Stephen M. Ranada, Klark Jasper P. Sisperez.

By:

Mendoza, Daren P

Contributor(s):

Material type: Text

TextManila : Technological University of the Philippines, 2022Description: x, 90 pages : illustrations ; 28 cm. + 1 CD-ROM (4 3/4 in.)Subject(s):

LOC classification:

BTH T 58.5 M46 2022

Dissertation note: College of Science -- Bachelor of Science in Information Technology, Technological University of the Philippines, 2022. Abstract: This study developed the "SMART GARDEN AND DATA ANALYTICS FOR BASIL PLANT SUSTAINABILITY (SAPS)". It aimed to develop an IOT device that will enable users to track the development of a basil plant and measure the environment's temperature and humidity, and to keep track of the moisture of the soil and the sunlight the plant is receiving. The system was developed using Raspberry Pi. It was tested for its functionality and reliability and proven to have these characteristics. The system was also evaluated in terms of functionality, durability, safety, saleability, and economy based on the TUP Evaluation Instrument for prototype, the system was evaluated by 40 respondents. Based on the evaluation results, the system was rated "Highly Acceptable" with an overall mean of 3.63 which suggests that the system is highly functional and reliable.--Author's Abstract

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Item type	Current library	Shelving location	Call number	Copy number	Status	Notes	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH T 58.5 M46 2022 (Browse shelf(Opens below))	c.1	Not for loan	For Room Use Only		BTH0003435

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Thesis (Undergraduate)

College of Science -- Bachelor of Science in Information Technology, Technological University of the Philippines, 2022.

Includes bibliographical references.

This study developed the "SMART GARDEN AND DATA ANALYTICS FOR BASIL PLANT SUSTAINABILITY (SAPS)". It aimed to develop an IOT device that will enable users to track the development of a basil plant and measure the environment's temperature and humidity, and to keep track of the moisture of the soil and the sunlight the plant is receiving. The system was developed using Raspberry Pi. It was tested for its functionality and reliability and proven to have these characteristics. The system was also evaluated in terms of functionality, durability, safety, saleability, and economy based on the TUP Evaluation Instrument for prototype, the system was evaluated by 40 respondents. Based on the evaluation results, the system was rated "Highly Acceptable" with an overall mean of 3.63 which suggests that the system is highly functional and reliable.--Author's Abstract

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