The gap between land surface and crop models in simulating irrigation
Research gap analysis derived from 3 agriculture papers in our local library.
The gap
The gap between land surface and crop models in simulating irrigation. The complexity of irrigation modeling, particularly in highly irrigated regions. The need to evaluate irrigation estimates from different models at the pixel and basin scale.
Evidence profile
Sourced from the stated research gap and abstract of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 2 journals. Those papers have been cited 12 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- On the gap between crop and land surface models: comparing irrigation and other land surface estimates from AquaCrop and Noah-MP over the Po Valley (2026) · Hydrology and earth system sciences · cited 1× · doi
The gap between land surface and crop models in simulating irrigation. The complexity of irrigation modeling, particularly in highly irrigated regions. The need to evaluate irrigation estimates from different models at the pixel and basin scale.
generalstated research gapKeywords: gap between land surface crop models simulating irrigation - Practical irrigation scheduling at the sub-field scale: Comparing OpenET and capacitance soil moisture sensors against a TSEB reference in dry edible beans (2026) · Agricultural Water Management · doi
Accurate estimation of daily crop evapotranspiration (ET) at the sub-field level is critical for precision irrigation scheduling and management, yet few studies have examined how satellite-based ET products represent soil-driven spatial variability within a single field.
generalabstractevidence 5/5Keywords: field accurate estimation daily crop evapotranspiration level critical precision irrigation scheduling management examined satellite based - Revealing irrigation uniformity with remote sensing: A comparative analysis of satellite-derived uniformity coefficient (2024) · Agricultural Water Management · cited 11× · doi
Further advancements and research are warranted to refine the methodology and enhance the accuracy and reliability of remote sensing-based irrigation uniformity assessment, ultimately contributing to more sustainable agricultural irrigation practices.
generalabstractevidence 4/5Keywords: irrigation further advancements warranted refine methodology enhance accuracy reliability remote sensing based uniformity assessment ultimately
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