Work

Analysis of Plant Watering Efficiency Using IoT Technology Controlled Through Google Assistant

Year: 2024

Type: article

Abstract: This paper presents a systematic literature review (SLR) of 120 academic documents sourced from the Scopus database, which analyses the efficiency of crop watering systems utilizing Internet of Things (IoT) technology controlled via Google Assistant. The review explores key advances in IoT-based irrigation systems, highlighting how real-time data from sensors and voice-controlled automation improve water efficiency and user experience. The findings reveal that IoT systems can reduce water wastage by 25-30%, optimise plant health, and offer convenience through voice commands. However, challenges such as connectivity issues, high implementation costs, and system maintenance complexity also need to be addressed. This paper discusses potential future research directions, including scalability, AI integration, and cost-effective solutions to expand the adoption of these technologies in agriculture and horticulture.

Source: West Science Nature and Technology

DOI: 10.58812/wsnt.v2i03.1296

Authors: Nur Hakim, Muhammad Hazmi, Syam Gunawan, Arnes Yuli Vandika, Hanifah Nurul Muthmainah

Institutions: Universitas Muhammadiyah Jember, Universitas Indonesia Membangun, Lampung University, Universitas Bandar Lampung, Universitas Siber Muhammadiyah

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4403219006

FWCI:

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