Quality of reading among equipment for determining water content in corn kernels

Rodrigues, Thais Caroline; Carneiro, Franciele Morlin; Brunini, Rodrigo Garcia; Menezes, Patricia Candida de; Bertonha, Rafael Scabello; Furlani, Carlos Eduardo Angeli

doi:10.5433/1679-0359.2020v41n5p1457

Cited by 1 publication

(1 citation statement)

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“…Two sensors were installed at the bottom of the grain tank to calculate the moisture content of the crop in each plot by averaging the voltage. When comparing the yields of different varieties in experiments, it is necessary to convert them to the weight at the same moisture content using formula (5) (Nelson et al, 1991;Rodrigues et al, 2020).…”

Section: Fig 7 -Hardware Schematic For Weighing Modulementioning

confidence: 99%

Design and Test of Intelligent Yield Monitoring System for Plot Combine Harvester

ZHANG,

WANG,

CHANG

et al. 2023

INMATEH

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Traditional yield monitoring in breeding plots is manually conducted, which is labour-intensive and inefficient. To address this issue, an airborne yield monitoring system that collects yield information during the harvesting in plots was designed. The system consists of a host computer and a slave computer. The slave computer used weight and moisture sensors to collect yield information of crops. The host computer used LabVIEW software to design a data management platform that displays and saves yield information and draws yield distribution maps for data visualization. The host and slave computers communicate data through 4G networks. By designing anti-interference measures, the dynamic experimental results showed that the average errors between the measured weight and moisture content by the system were 1.330% and 2.800%, which met the accuracy requirements of yield testing in plot breeding. The results indicated that the structure of the system is reasonable and can provide reliable yield monitoring tools for researchers in breeding plots.

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Section: Fig 7 -Hardware Schematic For Weighing Modulementioning

confidence: 99%