Smart Irrigation Systems in Agriculture: A Systematic Review

Vallejo-Gómez, David; Osorio, Marisol; Hincapié, Carlos A.

doi:10.3390/agronomy13020342

Cited by 29 publications

(12 citation statements)

References 68 publications

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“…The experiments conducted demonstrated that the proposed method could save both water and energy. The study conducted by (Vallejo-Goḿez et al, 2023) provided a systematic review using a modified version of the PRISMA 2020 approach to identify important aspects related to smart technologies used in irrigation systems. The review emphasized, as shown in Supplementary Figure 2, that there was a recent increase in research on smart technologies for irrigation system control and modelling.…”

Section: Related Workmentioning

confidence: 99%

Prioritizing factors for the adoption of IoT-based smart irrigation in Saudi Arabia: a GRA/AHP approach

Jabbari,

Teli,

Masoodi

et al. 2024

Front. Agron.

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The irrigation sector in the Kingdom of Saudi Arabia (KSA) confronts a range of obstacles, such as scarce water resources, the elevated salinity and alkalinity of irrigation water, inefficient irrigation practices, and inter-sectoral competition for water resources. These challenges have led to diminishing agricultural yields and abandonment of arable lands. Internet of Things (IoT)-based irrigation systems present a promising remedy for these issues. By curbing water wastage and ensuring precise water delivery to crops, IoT-based irrigation systems offer a viable solution to the challenges entrenched in traditional irrigation methodologies in KSA. However, the widespread implementation of an IoT-based Smart Irrigation System (I-SIMS) poses a multifaceted and intricate challenge in KSA. This study is focused on the identification of the factors and challenges through a systematic review and ranking of the challenges/factors that exert a significant influence on the adoption of I-SIMS. Ranking aids in determining the importance of various alternatives. It enables locating the best options that support the required objectives in complex decision situations. The study employs both Grey Relational Analysis (GRA) and Analytical Hierarchical Process (AHP) methodologies to prioritize these factors. The study’s conclusive findings indicate that among the challenges, technical expertise and security measures emerge as the foremost concerns that demand attention.

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Section: Related Workmentioning

confidence: 99%

Prioritizing factors for the adoption of IoT-based smart irrigation in Saudi Arabia: a GRA/AHP approach

Jabbari,

Teli,

Masoodi

et al. 2024

Front. Agron.

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“…By incorporating real-time climatic and soil moisture data, the HEPSIS can adapt Working scheme of HEPSIS, reproduced here from [9]. irrigation scheduling based on predicted temperature, and precipitation changes, thereby optimizing water utilization and reducing dependency on manual adjustments [26,27]. Some benefits of the smart irrigation system for rice crops over conventional systems are presented in Figure 5.…”

Section: Hybrid Energy Powered Smart Irrigation Systemmentioning

confidence: 99%

Hybrid Energy Powered Smart Irrigation System for Smallholder Farmers: Installation Site and Crop Selection

Aleem,

Sultan,

Imran

et al. 2024

Agricultural Sciences

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In the context of food-energy-water nexus and uncertainties in climate change, hybrid energy powered smart irrigation system (HEPSIS) is an emerging solution for optimizing both energy and water to boost crop yield. In Pakistan, most of the farmers especially smallholder farmers are currently relying on conventional irrigation practices which result in high water consumptions, high energy consumptions (by means of pumping), low crop yields, and net profit. Prior to design/development, installation, and testing of the HEPSIS, it is essential to know a suitable site and potential food/cash crops which will be irrigated. In this regard, the study aims to select installation site and potential crops. Site suitability is explored for Sindh province from viewpoints of Indus Basin Irrigation System mapping, groundwater table depth/quality mapping, land use land cover, and soil classifications. Furthermore, crop selection analyses are performed by means of a screening matrix approach based on stars to identify two potential food and cash crops. As per the results, Badin, Ghotki, Khairpur, Sanghar, Shikarpur, Larkana, and Thatta are selected as some suitable sites for the proposed HEPSIS. Additionally, wheat and rice are selected as potential food crops whereas cotton and sugarcane are selected as potential cash crops.

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“…The methodology adopted in the present study is inspired by the PRISMA 2020 guidelines [30]. A new strategy was designed by intergrading the PRISMA 2020 guidelines and the review approaches used by other researchers [31][32][33]. The literature related to each sub-domain was searched according to four approaches, illustrated in Figure 3.…”

Section: Review Strategy and Exploration Of Literaturementioning

confidence: 99%

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

Chauhdary,

Li,

Jiang

et al. 2023

Agronomy

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The non-judicious use of water at the farm level in traditional irrigation application methods is a present-day concern across the world that can be resolved by enhancing application efficiency through the adoption of advanced irrigation techniques. Sprinkler irrigation is a method that has high application efficiency, which can be further increased when coupled with automation toward precision irrigation. The objectives of this review are to summarize the main aspects of sprinkler and precision irrigation and their development, scope, and future prospects specifically in Asian countries. In this paper, a modified methodology, inspired by PRISMA guidelines, was used to explore the available literature to summarize the existing knowledge in the field. Regarding the technological aspects of the analyzed works, it became evident that sprinkler systems are an efficient method to not only irrigate crops (with 39% water saving) but also for the application of fertilizers with higher efficiency (>35%) and water productivity (>14.1%) compared with gravity irrigation systems. Moreover, this paper highlights the prominent features of precision irrigation for maximizing agricultural productivity. The use of sprinkler irrigation with precision applications using automation with a sensor-based mechanism for field data collection, data transformation, data analysis, and operation of IoT-based automatic solenoid valves can save 20–30% more irrigation water and increase crop yield by 20–27%. An analytical understanding and knowledge of the field were used to draw conclusions that are thought-provoking for scientists, researchers, and other stakeholders.

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Smart Irrigation Systems in Agriculture: A Systematic Review

Cited by 29 publications

References 68 publications

Prioritizing factors for the adoption of IoT-based smart irrigation in Saudi Arabia: a GRA/AHP approach

Prioritizing factors for the adoption of IoT-based smart irrigation in Saudi Arabia: a GRA/AHP approach

Hybrid Energy Powered Smart Irrigation System for Smallholder Farmers: Installation Site and Crop Selection

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

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