Elsevier BVActa Medica Okayama0956-71351832026Monitoring postharvest water loss in eggplants (Solanum melongena L.) using UV-induced fluorescence imaging and multivariate analysis111902ENVincentRotichLaboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto UniversityTianqiGaoLaboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto UniversityPanintornPrempreeLaboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto UniversityTakahiroHayashiLaboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto UniversityKazuhikoNambaFaculty of Environmental, Life, Natural Science and Technology, Okayama UniversityMitsujiMontaFaculty of Environmental, Life, Natural Science and Technology, Okayama UniversityMotomiNishimotoTechnology and Innovation Center, Daikin Industries, Ltd.NaoshiKondoLaboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto UniversityEggplant (Solanum melongena L.) is susceptible to significant postharvest losses primarily due to water loss during storage, which affects market quality by causing texture and glossiness degradation. We investigated whether UV-induced fluorescence imaging and EEM (Excitation-Emission Matrix) fluorescence spectroscopy can non-destructively monitor WL under four storage regimes (10 °C/95 % RH, 20 °C/95 % RH, 20 °C/75 % RH, 10 °C/75 % RH). EEMs exhibited three regions; a 365/420 nm blue emission increased most under warm, low-humidity storage and is consistent with phenolic/lignin-related fluorescence. Side-view fluorescence (FL) images showed progressive blue-white emission and surface textural changes that tracked gravimetric water loss (WL). A PLSR model using combined color and texture features from FL and reflectance (CL) images achieved R2CV = 0.88 (RMSECV = 3.47 %) with only six features. To test a minimal predictor, we fit an Analysis of Covariance (ANCOVA) using Day-1 FL MeanBlue as a covariate and storage category as a factor with Leave One Out Cross-validation (LOOCV); this forecasted cumulative WL with R2LOOCV = 0.92 and MAE = 1.88 %. Importantly, this ANCOVA model using Day-1 blue-band fluorescence as a covariate was predictive only under 20 °C/75 % RH; under the other conditions, its contribution was weak. Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) models achieved accuracies of 94.4 % and 85.2 %, respectively, in differentiating storage conditions. These results support low-cost FL imaging as a practical tool to monitor WL and storage stress.No potential conflict of interest relevant to this article was reported.岡山大学全学教育・ 学生支援機構Acta Medica Okayama2432-966542019大学入学者選抜改革に対応する高校トライアルの概要について : 国立六大学連携コンソーシアム教育連携機構入試専門部会事業149167ENIchiroISHIIKazuyukiHARADAHirokoKAMIMURAMitsujiMONTA10.18926/58043 6 大学連携事業として，評価したい資質について掘り下げ質問を行う構造化面接と，面接に代わる筆記試験であるペーパーインタビューについて，県内の高等学校の協力を得て2019 年度にトライアルを行った。評価した資質は「新たなこと追究しようとする態度」と「協働して取り組む態度」であり，まず，構造化面接とペーパーインタビューの結果を本学の教員が評価し，その結果を高校教員が個々の受験生に抱いている日常的評価と比較した。トライアルの結果，構造化面接の有効性ならびに，受験者全員に面接を課すことが，時間的，人員的に実施困難な入試におけるペーパーインタビューの有効性が確認された。同時に，測ろうとする資質によっては，面接との評価結果が異なる部分があることも明らかとなった。No potential conflict of interest relevant to this article was reported.岡山大学農学部Acta Medica Okayama0474-0254 9812009温室における煙霧流の測定と解析3945ENBominTangKentaroMohriMitsujiMontaKazuhikoNambaMasamiIwasakiBai-jingQiuJianLiangThis paper deals with measurement and analysis of fog flow in a greenhouse.
In this study we applied a gas-liquid two phase flow spray and a pesticide spray using new technology such as a non-heating fog carrier, in order to prevent desease and insects in agricultural operations.
Spray particle density was analyzed by a new method using an air sampler, and the behavior of fog particles in the space was studied.
The following results were obtained,
1. The spray particles were within a size of 15 ~ 30μm and the behavior of these particles were clarified in this experiment.
2. The floating time after spray of particles, and the diffusing performance of spray particles in the greenhouse were clearly observed, tracked and recorded in this experiment.
3. Effective methods of pesticide application in greenhouse were discovered in this study.No potential conflict of interest relevant to this article was reported.岡山大学農学部Acta Medica Okayama0474-02549212003鉛直管内穀粒流動化の終端速度5761ENNaTaKentaroMohriKazuhikoNambaMitsujiMontaIt is necessary to know the characteristics of grain when grain is transferred and processed. In this research, in order to clarify the fundamental flow characteristics of grain, the flow state in a vertical pipe was investigated. Brown rice, BB shot (pellets) "BB's" and soybean were fluidized by the air style. We determined minimum fluidization velocity and terminal velocity, recorded the flow state, and observed the flow state with a video camera. The results of the experiment were as follows:
1) Minimum fluidization wind velocities were 1.6-2.1m/s in soybean, and 1.2-1.7m/s in BB's. This might be because of the shapes of soybean and BB's.
2)A fountain state appeared in brown rice, but not in either soybean or BB's. This might be because of the shapes of soybean and BB's.
3)Terminal velocity was 6.8m/s in brown rice, 9.5m/s in BB's, and 12.2m/s in soybean respectively.No potential conflict of interest relevant to this article was reported.