An IoT-based Optimized Watering System for Plants

Kai-yu Tsang, Zuneera Umair*, Umair Mujtaba Qureshi, Inez Maria Zwetsloot

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review


The food industry has been facing extreme shortages of food as a result of higher consumption due to increasing population. One of the key reasons of food shortages is inadequate water supply to the crops and plants. Usually farmers setup a schedule to supply water without assessing the real-time condition of the plants, which leads to wasting water in substantial quantities. As a result, plants are sometimes under watered or over watered. In this paper, we propose an IoT based watering system for plants that uses a microcontroller, a soil moisture sensor, an environmental temperature sensor, and a humidity sensor to assess favourable conditions of a plant’s growth. We propose 4 different experimental setups including regular watering schedules setups and modified watering schedule setups for both indoor and outdoor settings. We observe that watering the plants by a modified schedule based on the plants condition, the growth increases by using minimum amount of water. We further apply regression analysis on different variables in our system to observe the factors that have a direct effect on the growth of the plant. Based on our data analysis, environmental temperature plays the most important part in the growth of a plant along with adequate water supply.
Original languageEnglish
Title of host publication2022 IEEE 20th International Conference on Industrial Informatics (INDIN)
Number of pages6
ISBN (Electronic)9781728175683
ISBN (Print)9781728175690
Publication statusPublished - Jul 2022
EventIEEE International Conference on Industrial Informatics, INDIN 2022 - Perth, Australia
Duration: 25 Jul 202228 Jul 2022

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)1935-4576


ConferenceIEEE International Conference on Industrial Informatics, INDIN 2022
Internet address

Scopus Subject Areas

  • Information Systems
  • Computer Science Applications

User-Defined Keywords

  • IoT-based watering system
  • Smart watering system
  • smart agriculture
  • smart irrigation


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