Claim · model-written summary
The AYM system showed real-time temporal and spatial yield variability classification and quantification in paddy field.
- Taxon
- paddy crope0
- Outcome
- real-time temporal and spatial variability classification and quantificatione5
- Setting
- paddy fielde5
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirectionValueQualifier
Verbatim
e0“assess yield variability of paddy crop using automatic yield monitoring (AYM) system”
e5“The AYM system could show the real-time temporal and spatial variability classification and quantification in paddy field”
Title
Yield Variability Assessment in Paddy Crop using Automatic Yield Monitoring System
N. S. Chandel; K. N. Agrawal Journal of Agricultural Engineering (India) 2019. doi:10.52151/jae2018551.1687
Other claims from this paper (4)
- Method / resource The calibration factor of the AYM system for paddy crop was 6.79.
- Method / resource Yield measured by the automatic yield monitor differed from actual yield by +2.8 to +5.1%.
- Observation Maximum temporal yield variability in paddy was 14.7%, observed between 2014 and 2017.
- Observation Paddy yield in the one-hectare plot was classified into five different yield zones.