Faculty of Agriculture, Niigata University
Yoshito Saito, Assistant Professor
Non-destructive optical sensing of agricultural products and foods foradvanced precision agriculture
超精密農業の実現に向けた農作物や食品の非破壊光センシング【Keywords】

Non-destructive

Spectroscopy

Imaging

Crop & vegetables

Foods■Summary
Bio-instrumentation

Informatization
Automation*Food production⇔environmental conservation*“Extensive” precision agriculture is required↓Objective in our laboratory:
Nondestructive evaluation by optical methods(plants, fields, crop & vegetables, foods)

FieldsIndividualStructure“In-situ”
measurement

Cells

Molecules

Non-destructiveanalysis

Spectroscopic analysis
Micro and macroscopic imaging■Subject Details/Topic

Spectroscopy▶Near infrared diffuse transmittance▶Tofu▶Soybeans

Visible - Near infrared

UV

光Pollenless cedar seedlings■Excitation-Emission Matrix

45

Predicted value (%)

𝐼𝑡heterozygous malesterility genes

R2 = 0.80
40Threshold

3530

Accuracy: 90.3%

Identification by internal
structural differences

Internal structure

Obata et al., JCEEA2023, 2023

Maillard,
Oxidation products

Fluorescence

ScabElephant skin

Explainable AI

DamageMalformationFluorescenceimaging

Used in actual system(JA Obihiro, Hokkaido, Japan)
Saito et al., J. JSAM, 83(3), 208-217, 2021

Chemical-derived fluorescence
Omwange et al., Food Control, 124, 107906, 2021

■We hope to collaborate with…

0.3

Too muchcoagulation

0.2

fittingρ0Extra-virgin oil vs. virgin oil
Color

Scattering Image

0.1

Saito et al., Food Chemistry, 365, 130403, 2021

Deep learning（ResNet-50）

NIR（1550nm）

Hardness estimation

0.300
0.345
0.390
Coagulant conc. (%)

Saito et al，J. JSAM，83(2), 95-104, 2021
Saito et al., EAEF, 11, 38–42, 2018** p < 0.01

【Livestocks】 Vit.A estimation in whole blood
Retinol conc. ( IU/dL )Color▶ Olive oil adulteration detection**0.4

Em.蛍光波長wavelength(nm)(nm)

Protein contents estimation
by EEM input**0.5

Amino Acids【Sorting】 Nondestructive detection▶ Potato classification by NIR imaging■Example: Porosity■Application idea

flavonoids

Porosity

Pollenless

354045
Measured value (%)

Intensity

NormalIntegrating sphere
Wavelength (nm)Ex. 励起波長(nm)Pollenless

Normal

Optical system・Porosity
・Pore density
・Pore size

Screening: 〇30

Needs for rapid and easy
screening method＜Light scattering＞

hardsoft■Protein estimation

Front-facePollenless＜Microstructure＞

Fluorescence spectroscopy

Scattering

Economic loss due to cedar pollinosis
286 billion yen /year【Evaluation】 Optical sensing for soybean and tofu

Retinol time-series change
120160Serum1008060

Whole blood
Fat marbling

4020

欠乏域

07 10 13 16 19 22 25 28Month<Needs for rapid measurement>

HPLC（chemical data）

Estimation of Retinol concentrationin blood by fluorescence

Estimated value （IU/dL）【Breeding】 Identification of pollenless cedar

トレーニングセット
Training
テストセットTest1208040007 μL
Excitation Emission

4080120

Measured value（IU/dL）
R2predRMSEP

RPD

0.91

9.12

3.36

Enough forScreening

Shibasaki et al，J. JSAM，83(6)，477–479，2021

Nondestructive analysis, freshness or food processing monitoring, foreign matter detection
Contact us:

160

Niigata University, Institute for Social Innovation and Cooperation
TEL：025-262-7554 FAX：025-262-7513 E-mail：onestop@adm.niigata-u.ac.jp