文章基本信息

标题：Multispectral Cameras and Machine Learning Integrated into Portable Devices as Clay Prediction Technology
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作者：Gilson Augusto Helfer ; Jorge Luis Victória Barbosa ; Douglas Alves 等
期刊名称：Journal of Sensor and Actuator Networks
电子版ISSN：2224-2708
出版年度：2021
卷号：10
期号：3
页码：40
DOI：10.3390/jsan10030040
出版社：MDPI Publishing
摘要：The present work proposed a low-cost portable device as an enabling technology for agriculture using multispectral imaging and machine learning in soil texture. Clay is an important factor for the verification and monitoring of soil use due to its fast reaction to chemical and surface changes. The system developed uses the analysis of reflectance in wavebands for clay prediction. The selection of each wavelength is performed through an LED lamp panel. A NoIR microcamera controlled by a Raspberry Pi device is employed to acquire the image and unfold it in RGB histograms. Results showed a good prediction performance with R2 of 0.96, RMSEC of 3.66% and RMSECV of 16.87%. The high portability allows the equipment to be used in a field providing strategic information related to soil sciences.
关键词：machine learning; multispectral image; soil; clay; agriculture machine learning ; multispectral image ; soil ; clay ; agriculture