Perceived benefits and challenges of IoT-based smart irrigation system: A case study from Tamil Nadu farmers

The increasing challenges of water scarcity, labour shortages and climate variability have necessitated the adoption of precision farming technologies in Indian agriculture. Among these innovations, adopting Internet of Things (IoT) technology in agriculture offers significant potential to revolutionize farming methods by increasing productivity, encouraging crop diversification, enhancing sustainability and reducing environmental impact. This study aims to evaluate the perceived benefits and challenges associated with adopting IoT-based smart irrigation systems by farmers in the Coimbatore district of Tamil Nadu. Data were collected from 120 farmers using IoT-based smart irrigation systems, randomly selected from the user list provided by the case firm. The Analytical Hierarchy Process (AHP) was employed to evaluate and prioritize the benefits perceived by farmers. At the same time the Plackett-Luce Model (PLM) was used to identify and rank the challenges that hinder effective usage. Results indicated that environmental advantages, particularly reduced water and energy consumption, were perceived as the most significant. Economic benefits, including enhanced operational efficiency and decreased labour costs, were also perceived as significant outcomes. Additionally, farmers acknowledged personal benefits like real-time monitoring, improved decision-making and reduced physical strain. Despite these advantages, high initial investment, complex user interfaces and limited technical knowledge were identified as the critical challenges encountered by the farmers. These findings suggest the need for affordable, user-friendly and locally supported IoT solutions and targeted capacity-building programs. Addressing these factors is essential for promoting broader adoption and realizing the full potential of smart irrigation technologies for sustainable agriculture.

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Publication Details

Journal
Plant Science Today
Published
2025-07-26
DOI
https://doi.org/10.14719/pst.8965
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
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article

Perceived benefits and challenges of IoT-based smart irrigation system: A case study from Tamil Nadu farmers

R. Pangayar Selvi, S Selvam, S. Moghana Lavanya, M Kalpana et al.
Plant Science Today
Smart Systems and Machine Learning
article

Perceived benefits and challenges of IoT-based smart irrigation system: A case study from Tamil Nadu farmers

R. Pangayar Selvi, S Selvam, S. Moghana Lavanya, M Kalpana, K. Mahendran, Wilson Jilwana
article en

Abstract

The increasing challenges of water scarcity, labour shortages and climate variability have necessitated the adoption of precision farming technologies in Indian agriculture. Among these innovations, adopting Internet of Things (IoT) technology in agriculture offers significant potential to revolutionize farming methods by increasing productivity, encouraging crop diversification, enhancing sustainability and reducing environmental impact. This study aims to evaluate the perceived benefits and challenges associated with adopting IoT-based smart irrigation systems by farmers in the Coimbatore district of Tamil Nadu. Data were collected from 120 farmers using IoT-based smart irrigation systems, randomly selected from the user list provided by the case firm. The Analytical Hierarchy Process (AHP) was employed to evaluate and prioritize the benefits perceived by farmers. At the same time the Plackett-Luce Model (PLM) was used to identify and rank the challenges that hinder effective usage. Results indicated that environmental advantages, particularly reduced water and energy consumption, were perceived as the most significant. Economic benefits, including enhanced operational efficiency and decreased labour costs, were also perceived as significant outcomes. Additionally, farmers acknowledged personal benefits like real-time monitoring, improved decision-making and reduced physical strain. Despite these advantages, high initial investment, complex user interfaces and limited technical knowledge were identified as the critical challenges encountered by the farmers. These findings suggest the need for affordable, user-friendly and locally supported IoT solutions and targeted capacity-building programs. Addressing these factors is essential for promoting broader adoption and realizing the full potential of smart irrigation technologies for sustainable agriculture.

Plant Science Today
Tamil Nadu Agricultural University (IN)
Openalex Percentile: Top 80%
Smart Systems and Machine Learning
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Perceived benefits and challenges of IoT-based smart irrigation system: A case study from Tamil Nadu farmers — R. Pangayar Selvi, S Selvam, et al. · Plant Science Today (2025) | TGRS Research Map | TGRS