Abstract
A study was conducted to assess yield variability of paddy crop using automatic yield monitoring (AYM) system fitted on an indigenous grain combine harvester. Algorithms were developed to assess the on-farm yield variability and classify the field in different yield zones. Yield maps were created using ArcGIS and open source GeoDa software for four years (2014, 2015, 2016 and 2017). The calibration factor (CF) of AYM system for paddy crop was 6.79. Yield variations were recorded in one ha plot, and classified in five different yield zones of<1900 kg.ha-1, 2000-2999 kg.ha-1, 3000-3999 kg.ha-1, 4000-4999 kg.ha-1, and >5000 kg.ha-1. Variation in actual yield and yield measured by automatic yield monitor varied from (+) 2.8 to (+)5.1 per cent. Maximum temporal variability (14.7 %) was observed between the year 2014 and 2017. The AYM system could show the real-time temporal and spatial variability classification and quantification in paddy field.
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Claims 5
Claim · model-written summary
The yield monitor calibration factor for paddy crop was 6.79.
Verbatim
e0“The calibration factor (CF) of AYM system for paddy crop was 6.79.”
Claim · model-written summary
A one-hectare plot was divided into five yield zones spanning below 1900 to above 5000 kg.ha-1.
Verbatim
e0“Yield variations were recorded in one ha plot, and classified in five different yield zones of<1900 kg.ha-1, 2000-2999 kg.ha-1, 3000-3999 kg.ha-1, 4000-4999 kg.ha-1, and >5000 kg.ha-1.”
t0“Paddy Crop”
Claim · model-written summary
Automatic monitor yield differed from actual yield by (+) 2.8 to (+)5.1 per cent.
Verbatim
e0“Variation in actual yield and yield measured by automatic yield monitor varied from (+) 2.8 to (+)5.1 per cent.”
t0“Paddy Crop”
Claim · model-written summary
Maximum temporal yield variability was 14.7% between 2014 and 2017.
Verbatim
e0“Maximum temporal variability (14.7 %) was observed between the year 2014 and 2017.”
t0“Paddy Crop”
Claim · model-written summary
The monitoring system showed real-time temporal and spatial yield variation in the paddy field.
Verbatim
e0“The AYM system could show the real-time temporal and spatial variability classification and quantification in paddy field.”