ArticleScientific reports2026
IoT-driven smart irrigation system to improve water use efficiency.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The agriculture sector is the cornerstone of many global economic entities, plays a central role in highly contributing to ensure food security and the gross domestic product. Difficulties caused by traditional irrigation methods, population growth, and climate change are leading to the development of current irrigation systems. This study presented a smart irrigation system using novel techniques like, Internet of Things (IoT), cloud computing, embedded system and sensors. The smart system integrates real-time monitoring and control during irrigation, fertilization, and biopesticides application. A mobile application is implemented to monitor and control the entire system. Results showed that using wood vinegar at low concentrations is an effective way to improve water use efficiency, increase lettuce yield, and optimize disease control compared to other concentrations. The impact of 400 concentration on the evaluation criteria was found to achieve the best values at 26% moisture content. The smart system reduces water consumption by 47% and achieving a 43% increase in yield as well the lowest level of disease severity index with a value of 7.78%. The system proposed features real-time monitoring and control, improving water use efficiency and supporting smart agriculture practices as well as contribute to food and water security.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.