Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1160972
Title: Using a Silicon Drift Detector to Improve an Agricultural Compton Scattering Tomograph for Soil Compaction Analysis.
Authors: CRUVINEL, P. E.
Affiliation: PAULO ESTEVAO CRUVINEL, CNPDIA.
Date Issued: 2023
Citation: In: INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2023, 8., 2023, Venice, Italy. Proceedings... Wilmington, USA: IARIA, 2023.
Description: The use of sensors in farming have become essential for soil, plants and environment monitoring in order to greater yields, while allowing rational use of inputs and decreasing risks. Although many of them are known, still there are challenges related to sensor’s development, characterization and customization for agricultural use, bringing opportunities for research and innovation. This article presents a study for the use of a high-performance silicon drift detector in a customized Compton scattering tomograph to analyze soil compaction in agricultural field. In agriculture the soil compaction causes substantial reduction in productivity and has always been of great concern for farmers. The use of such a methodology enables non-invasive and non-destructive measurements of soil compaction directly in the crop area, i.e., allowing its mapping. Energy resolution and signal-to-noise ratio were evaluated and compared with those from a classic scintillation detector. Based on the results, it was concluded that such a sensor can improve the effectiveness of a Compton scattering tomograph dedicated for soil compaction measurements.
Keywords: Solid-state sensor
Compton Computed tomography
Compaction measurements
Agricultural sensor
ISBN: 978-1-68558-083-4
Type of Material: Artigo em anais e proceedings
Access: openAccess
Appears in Collections:Artigo em anais de congresso (CNPDIA)

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