Integrating IoT-Based Smart Irrigation Systems to Optimize Crop Yield and Water Management for Sustainable Agriculture

The Internet of Things (IoT) is transforming agriculture by delivering real-time data and control systems, which optimize resource utilization and efficiency.Conventional irrigation techniques frequently struggle with inefficiencies in maximizing crop yield and water use efficiency (WUE), resulting in reduced crop growth and unnecessary resource waste.However, IoT-based smart irrigation systems make data-driven decisions, which can optimize crop yield and WUE; therefore, improving crop output and water conservation in agriculture.This study focuses on integrating IoT-based smart irrigation against traditional techniques that consider red amaranth cultivation.We developed the irrigation system using a microcontroller (ESP32) and various sensors (soil moisture, humidity, and temperature sensors).The impact of irrigation techniques on red amaranth growth and overall crop output was assessed using key characteristics like plant height, leaf count, area, fresh and dry weight, and water use efficiency.Results show that the IoT-based smart irrigation boosts crop yield by approximately 12% while decreasing water usage by around 58%.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1145/3723178.3723195
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20

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article

Integrating IoT-Based Smart Irrigation Systems to Optimize Crop Yield and Water Management for Sustainable Agriculture

Md Mehedi Hasan, Hira Lal Gope, Shohag Barman, Ashutus Singha et al.
2 citations
Smart Agriculture and AI
1.20
article

Integrating IoT-Based Smart Irrigation Systems to Optimize Crop Yield and Water Management for Sustainable Agriculture

Md Mehedi Hasan, Hira Lal Gope, Shohag Barman, Ashutus Singha, Md Masum Billah, A. K. Mohibul Islam
article en
2 citations

Abstract

The Internet of Things (IoT) is transforming agriculture by delivering real-time data and control systems, which optimize resource utilization and efficiency.Conventional irrigation techniques frequently struggle with inefficiencies in maximizing crop yield and water use efficiency (WUE), resulting in reduced crop growth and unnecessary resource waste.However, IoT-based smart irrigation systems make data-driven decisions, which can optimize crop yield and WUE; therefore, improving crop output and water conservation in agriculture.This study focuses on integrating IoT-based smart irrigation against traditional techniques that consider red amaranth cultivation.We developed the irrigation system using a microcontroller (ESP32) and various sensors (soil moisture, humidity, and temperature sensors).The impact of irrigation techniques on red amaranth growth and overall crop output was assessed using key characteristics like plant height, leaf count, area, fresh and dry weight, and water use efficiency.Results show that the IoT-based smart irrigation boosts crop yield by approximately 12% while decreasing water usage by around 58%.

American International University-Bangladesh (BD), Sylhet Agricultural University (BD), Daffodil International University (BD)
University Grants Commission, Sylhet Agricultural University Research System
Zero hunger
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.20
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