Accurate rice yield estimation is crucial for decision-making regarding potential reductions in crop yield. Current crop estimation methods are limited due to the heterogeneity of crop conditions within farmers’ plots. During crop cuts, enumerators tend to avoid sampling locations with poor crop stands, neglect border areas where crop yield is generally lower than in the middle of the plot and include plants falling at the edge of the sampling frame.
• Bias in crop sampling due to avoidance of poor crop areas and border regions.
• Inclusion of edge plants, leading to distorted yield estimates.
• Variability within plots, making accurate estimation difficult.
• Traditional methods fail to capture field variability accurately.
The use of an estimation method that does not require laborious measurements is time- and cost-efficient and is suitable for large- scale estimations.
Enhance farm productivity, achieve more efficient farm input management, including better subsidy management, and increased paddy output.