科研之友
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摘要
A biomass population sensor can benefit producers, seed companies, and researchers. The primary advantage of this sensor is the ability to generate better site-specific population density maps. The primary objective of this study was to develop a capacitance-based biomass proximity sensor with the performance characteristics necessary to detect the presence of biomass (e.g., corn stalks). The detection and quantification of corn stalks under harvest conditions was chosen as an example application of this technology. In this study, a non-intrusive, capacitive, single-sided biomass proximity sensor was developed, and the suitability of this sensor to biomass population quantification was evaluated. A number of capacitive sensor patterns were simulated using the finite element method, and then the patterns were fabricated and tested in the laboratory. The design, modeling, and laboratory testing resulted in a high-sensitivity, low-noise sensing system that utilized a capacitive sensor, Wien bridge oscillator, phase-locked loop, and operational amplifier that could detect stalk presence and transform sensor capacitance change into a change in electrical potential. Sensor operating parameters were optimized to detect corn stalks in this application. This sensor system was then evaluated under field harvest conditions. The signal-to-noise ratio of this system was greater than 10 in both laboratory and proof-of-concept field tests. When compared to hand counts obtained before harvest, the sensor count error was less than 5% for five of the six rows harvested and less than 2% averaged over the six rows harvested. Future work will involve comprehensive field evaluation of the moisture-based biomass proximity sensor to quantify corn stalk population.
- 出版日期2009-10
- 单位上海大学
