Multispectral Cameras and Machine Learning Integrated into Portable Devices as Clay Prediction Technology

被引：14
作者：
Helfer, Gilson Augusto [1 ,2 ]
Barbosa, Jorge Luis Victoria [1 ]
Alves, Douglas [2 ]
da Costa, Adilson Ben [3 ]
Beko, Marko [4 ,5 ]
Leithardt, Valderi Reis Quietinho [5 ,6 ]
机构：
[1] Univ Vale Rio dos Sinos, Appl Comp Grad Program, Ave Unisinos 950, BR-93022750 Sao Leopoldo, RS, Brazil
[2] Univ Santa Cruz do Sul, Dept Engn Architecture & Comp, Av Independencia 2293, BR-96815900 Santa Cruz Do Sul, RS, Brazil
[3] Univ Santa Cruz do Sul, Ind Syst & Processes Grad Program, Av Independencia 2293, BR-96815900 Santa Cruz Do Sul, RS, Brazil
[4] Univ Lisbon, Inst Telecomunicacoes, Inst Super Tecn, P-1049001 Lisbon, Portugal
[5] Univ Lusofona, COPELABS, ULHT, P-1749024 Lisbon, Portugal
[6] Polytech Inst Portalegre, VALORIZA, Res Ctr Endogenous Resource Valorizat, P-7300555 Portalegre, Portugal
来源：
JOURNAL OF SENSOR AND ACTUATOR NETWORKS | 2021年 / 10卷 / 03期
关键词：
machine learning; multispectral image; soil; clay; agriculture; QUALITY-CONTROL; SOIL; SYSTEM; MANAGEMENT; SELECTION; IMAGES; MODEL;
D O I：
10.3390/jsan10030040
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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 R-2 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.
引用
收藏
页数：16
相关论文
共 52 条
  • [1] Raspberry Pi as a low-cost data acquisition system for human powered vehicles
    Ambroz, Miha
    [J]. MEASUREMENT, 2017, 100 : 7 - 18
  • [2] [Anonymous], 1992, DIGITAL IMAGE PROCES
  • [3] A computational model for adaptive recording of vital signs through context histories
    Aranda, Jorge Arthur Schneider
    Bavaresco, Rodrigo Simon
    de Carvalho, Juliano Varella
    Yamin, Adenauer Correa
    Tavares, Mauricio Campelo
    Barbosa, Jorge Luis Victoria
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 14 (12) : 16047 - 16061
  • [4] NanoMetrix: An app for chemometric analysis from near infrared spectra
    Batunann, Luiza
    Librelotto, Marcia
    Pappis, Cristiane
    Helfer, Gilson A.
    Santos, Roberta O.
    dos Santos, Ronaldo B.
    da Costa, Adilson Ben
    [J]. JOURNAL OF CHEMOMETRICS, 2020, 34 (12)
  • [5] Precision and Digital Agriculture: Adoption of Technologies and Perception of Brazilian Farmers
    Bolfe, Edson Luis
    Jorge, Lucio Andre de Castro
    Sanches, Ieda Del'Arco
    Luchiari Junior, Ariovaldo
    da Costa, Cinthia Cabral
    Victoria, Daniel de Castro
    Inamasu, Ricardo Yassushi
    Grego, Celia Regina
    Ferreira, Victor Rodrigues
    Ramirez, Andrea Restrepo
    [J]. AGRICULTURE-BASEL, 2020, 10 (12): : 1 - 16
  • [6] Brady N.C., 2000, The Nature and Properties of Soils
  • [7] Design and Fabrication of an Artificial Compound Eye for Multi-Spectral Imaging
    Cao, Axiu
    Pang, Hui
    Zhang, Man
    Shi, Lifang
    Deng, Qiling
    Hu, Song
    [J]. MICROMACHINES, 2019, 10 (03):
  • [8] LED spectral imaging with food and agricultural applications
    Carstensen, Jens Michael
    [J]. IMAGE SENSING TECHNOLOGIES: MATERIALS, DEVICES, SYSTEMS, AND APPLICATIONS V, 2018, 10656
  • [9] Towards Mapping of Soil Crust Using Multispectral Imaging
    Crucil, Giacomo
    Van Oost, Kristof
    [J]. SENSORS, 2021, 21 (05) : 1 - 19
  • [10] PhotoMetrix UVC: A New Smartphone-Based Device for Digital Image Colorimetric Analysis Using PLS Regression
    da Costa, Adilson B.
    Helfer, Gilson A.
    Barbosa, Jorge L. V.
    Teixeira, Ibere D.
    Santos, Roberta O.
    dos Santos, Ronaldo B.
    Voss, Monica
    Schlessner, Sandra K.
    Barin, Juliano S.
    [J]. JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY, 2021, 32 (03) : 675 - 683
123456