ArticleFrontiers in plant science2026
Dynamic-weighing grain mass flow sensing for reliable in-field yield monitoring in combine harvesters.
Article in Frontiers in plant science, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The accuracy of on-board yield monitoring for combine harvesters is limited by the difficulty of acquiring high-fidelity mass flow signals and achieving reliable cumulative integration under complex vibration and varying operating conditions. To address this challenge, this study developed a weighing-based on-board yield monitoring system (DW-ORMS), in which a flow-collecting weighing-type grain mass flow sensor (C-GMFS) served as the core sensing unit. The C-GMFS enables stable weighing observation in confined installation spaces through mechanical decoupling and a single force-transmission path. At the system level, a state-aware gating strategy and trusted update mechanism were introduced to improve the reliability of output and cumulative mass estimation during unsteady operating phases. Based on field-measured disturbance characteristics, a parameterized disturbance model was established and used to identify the valid operating window and fix the gating parameter range. Simulation results showed that the proposed method achieved band-limited interference suppression of
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.