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Moisture Control using Linear Regression for Automatic Seed Germination Box on Rockwool

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In hydroponics, seed germination plays an important role as the yield and quality of the crops heavily depends on this stage. Moisture is the most crucial parameter to be maintained during germination. The medium of seed germination should be watered frequently to keep its moisture. This process is usually carried manually by the growers. Hence, an automation watering process will be beneficial. This research develops an Automatic Seed Germination Box that controls the moisture of the Rockwool medium to a certain level. A Linear Regression is developed and applied to control the motor driver based on the reading of the Moisture sensor to achieve a certain moisture level. The system consists of a Moisture sensor, an Arduino Uno microcontroller, a motor driver, and a mini water pump. The motor driver turns the mini water pump on and off to pump-up the water into the Automatic Seed Germination Box. Experiment shows that the difference between actual duration and the predicted duration in controlling the motor driver has a low error with MAPE of 8.55% and RMSE of 0.4 seconds. The system is also used to grow the seeds. The growth test shows that the developed system can grow the seeds to become the seedlings well.

Original languageEnglish
Title of host publicationProceedings of 2021 International Conference on Sustainable Information Engineering and Technology, SIET 2021
PublisherAssociation for Computing Machinery
Pages162-167
Number of pages6
ISBN (Electronic)9781450384070
DOIs
Publication statusPublished - 13 Sept 2021
Event6th International Conference on Sustainable Information Engineering and Technology, SIET 2021 - Virtual, Online, Indonesia
Duration: 13 Sept 202114 Sept 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Conference on Sustainable Information Engineering and Technology, SIET 2021
Country/TerritoryIndonesia
CityVirtual, Online
Period13/09/2114/09/21

Keywords

  • Linear Regression
  • Moisture control
  • Rockwool
  • Seed Germination

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