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- W4200189403 abstract "Abstract Yield monitoring is one of the basic components of precision agriculture. It provides information on the spatial variability of yield in the field. The objective of this study was to estimate the weight of Chinese cabbage through impact force measurements using a weighing sensor. The sensor was installed to receive the impact of Cabbage as it dropped off an inclined conveyor. The investigated experimental variables were fall height, plate angle to the horizontal, and conveyor speed. The load cell was calibrated, with an R 2 value of 0.96. The mean absolute percentage error (MAPE), root-mean-square error (RMSE), and correlation coefficient (R 2 ) were the statistical indicators used to describe the accuracy of the estimates. The fall height had little effect on the precision of the yield sensor. The least sensing precision was 18.75%, observed at an angle of 30° with a conveyor speed of 0.05m s-1 . The MAPE for cabbage weights were<3% at 40° and 0.2 ms −1 for both fall heights. The experiments showed the potential of measuring individual cabbage weights for yield estimation." @default.
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- W4200189403 date "2021-11-01" @default.
- W4200189403 modified "2023-10-15" @default.
- W4200189403 title "Potential of impact-based weight sensing of individual Chinese cabbage for real-time yield monitoring" @default.
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- W4200189403 doi "https://doi.org/10.1088/1755-1315/924/1/012015" @default.
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