Investigating the effects of different irrigation strategies on olive tree water status and productivity
Research gap analysis derived from 3 earth_science papers in our local library.
The gap
Investigating the effects of different irrigation strategies on olive tree water status and productivity. Examining the potential of using remote sensing techniques for monitoring water stress in other crops. Developing more accurate models for predicting plant water status based on proximal and remote sensing data.
Evidence profile
Sourced from the stated research gap and future-work section of the source papers, classified as general, drawn from work published between 2024 and 2025, spanning 2 journals. Those papers have been cited 26 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Advances in Remote Sensing and Sensor Technologies for Water-Quality Monitoring: A Review (2025) · Water · cited 13× · doi
The traditional monitoring technology has limitations such as low sampling efficiency, long response time, and high economic cost. There is a need for remote sensing technology to monitor water quality in real-time. The paper identifies the gap in the current research on remote sensing technology for water-quality monitoring.
generalstated research gapKeywords: traditional monitoring technology has limitations low sampling efficiency - Developing a Remote Sensing-Based Approach for Agriculture Water Accounting in the Amman–Zarqa Basin (2025) · Water · cited 5× · doi
The study identifies a gap in the accuracy of remote sensing data for water accounting, particularly in agricultural settings. The paper notes that prior research has demonstrated the need for calibrating remote sensing data to ensure reliable water accounting. The study highlights the importance of using open-source datasets such as WaPOR for improving agricultural water resource assessments.
generalstated research gapKeywords: study identifies gap accuracy remote sensing data water - Combining proximal and remote sensing to assess ‘Calatina’ olive water status (2024) · Frontiers in Plant Science · cited 8× · doi
Investigating the effects of different irrigation strategies on olive tree water status and productivity. Examining the potential of using remote sensing techniques for monitoring water stress in other crops. Developing more accurate models for predicting plant water status based on proximal and remote sensing data.
generalfuture-work sectionevidence 5/5Keywords: investigating effects different irrigation strategies olive tree water
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