The effectiveness of sustainable irrigation practices in improving groundwater quality
Research gap analysis derived from 4 agriculture papers in our local library.
The gap
Further studies can be conducted to evaluate the effectiveness of sustainable irrigation practices in improving groundwater quality. The use of other approaches, such as machine learning algorithms, can be explored to evaluate groundwater quality.
Evidence profile
Sourced from the stated research gap and future-work section of the source papers, classified as general, drawn from work published between 2025 and 2026, spanning 3 journals. Those papers have been cited 56 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 6 representative gaps
- Integrated Groundwater Quality Assessment for Irrigation in the Ras El-Aioun District: Combining IWQI, GIS, and Machine Learning Approaches (2025) · Water · cited 18× · doi
Traditional methods for assessing groundwater quality are limited in areas with restricted data and complex hydrogeochemical interactions. There is a need for a comprehensive approach that integrates physicochemical analysis, machine learning, and GIS to evaluate irrigation suitability. The study aims to address this gap by developing and applying an integrated approach.
generalstated research gapKeywords: traditional methods assessing groundwater quality limited areas restricted - Irrigation Suitability and Interaction Between Surface Water and Groundwater Influenced by Agriculture Activities in an Arid Plain of Central Asia (2025) · Agriculture · cited 6× · doi
Lack of comprehensive assessment of groundwater irrigation suitability in arid areas. Limited understanding of the impact of agricultural activities on groundwater quality. Need for evaluation of irrigation water quality and groundwater-surface water interaction in arid plain regions.
generalstated research gapKeywords: lack comprehensive assessment groundwater irrigation suitability arid areas - Integrated Groundwater Quality Assessment for Irrigation in the Ras El-Aioun District: Combining IWQI, GIS, and Machine Learning Approaches (2025) · Water · cited 18× · doi
Further research is needed to investigate the effects of long-term irrigation on soil health, - The use of other machine learning models and techniques could be explored, - Additional data collection and analysis could be conducted to better understand the hydrogeochemical characteristics of the groundwater
generalfuture-work sectionKeywords: further research needed investigate effects long-term irrigation soil - Evaluation of groundwater quality using Water-Quality Index and Geographical Information System for human consumption and irrigation in Kanyakumari District, South India (2026) · Engineering Geology and Hydrogeology · doi
Further studies can be conducted to evaluate the effectiveness of sustainable irrigation practices in improving groundwater quality. The use of other approaches, such as machine learning algorithms, can be explored to evaluate groundwater quality.
generalfuture-work sectionevidence 5/5Keywords: further studies conducted evaluate effectiveness sustainable irrigation practices - An Assessment of Collector-Drainage Water and Groundwater—An Application of CCME WQI Model (2025) · Water · cited 7× · doi
Understanding water quality dynamics is essential due to the heavy reliance on surface and groundwater resources for agricultural practices. Assessing the overall health of water bodies and developing effective management strategies. Investigating the impact of irrigation, climate variability, and the use of chemical inputs on water quality.
generalfuture-work sectionevidence 5/5Keywords: understanding water quality dynamics essential due heavy reliance - An Assessment of Collector-Drainage Water and Groundwater—An Application of CCME WQI Model (2025) · Water · cited 7× · doi
Conventional water quality monitoring often provides fragmented data. There is an insufficient understanding of the current status and trends of collector-drainage water and groundwater quality. The impact of irrigation, climate variability, and the use of chemical inputs on water quality is not well understood.
generalstated research gapevidence 4/5Keywords: conventional water quality monitoring often provides fragmented data
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