Asian Agricultural and Biological Engineering AssociationActa Medica Okayama1881-83661912026Biosensing method of growth diagnosis in the forced culture of strawberries ―Development of crop-identification algorithms―4250ENShogoTSUBOTAInstitute of Agricultural Machinery, National Agriculture and Food Research OrganizationKazuhikoNAMBAFaculty of Environmental, Life, Natural Science and Technology, Okayama UniversityShotaKASEIInstitute of Agricultural Machinery, National Agriculture and Food Research OrganizationTokihiroFUKATSUInstitute of Agricultural Machinery, National Agriculture and Food Research OrganizationAn image-processing algorithm for identifying individual crops is developed for labor-savings and time-series biological information collection. Information including the leaf development frequency are diagnostic indicators of strawberry growth. The algorithm is designed for drones in greenhouses that cannot acquire location information using the global navigation satellite system (GNSS). Drones fly over crop rows and sequentially assign identification numbers (IDs) to crops. Object-detection artificial intelligence (AI) is used to estimate the crop zone, and the ID is based on the crops number difference between frames. The previous misdetection rate was 1.06 %, failing to identify crops, which decreases to 0.31 % using the proposed algorithm. Furthermore, because there are no failures in consecutive frames, IDs are assigned to all crops correctly.No potential conflict of interest relevant to this article was reported.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 Okayama0474-02548511996変動磁場の植物生長に及ぼす影響115117ENKazuhikoNambaThis paper describes the effect of alternating magnetic fields on plant germination. Experiments were conducted utilizing various frequencies and two states of polarity.Electromagnetic coils were used to generate the fields and 'Komatsuna' plants were chosen as subjects. The frequency was varied from 1 to 1000 Hz,at a fixed intensity of 5 Gauss. The magnetic polarity was controlled by reversing the current direction. Measured parameter was the germination rate. The results indicated that magnetic fields do influence plant germination, and that frequency of the fields is a more important factor in germination rates than polarity. Maximum germination rates,which were 20% higher than control rates,were obtained at around 10 Hz.No potential conflict of interest relevant to this article was reported.岡山大学農学部Acta Medica Okayama0474-02548711998Solar Energy Required and Predicted in Okayama and Giza (Egypt)187193ENIbrahim E. A.ElbatawiKentaroMohriKazuhikoNambaEgypt as a developed country still has no electricity in many villages but at the same time has enough natural energy such as solar energy. Solar radiation data is not always available in many areas of the world and they have to be estimated using some sort of empirical model. The results of this prediction are compared for the measured data of two different countries: Japan (Okayama City) and Egypt (Giza City). The comparison shows an acceptable level of prediction between both of them. On a June day, actual accumulated insolation through one day was 18.88 MJ/m2 in Okayama and 22.79 MJ/m2 in Giza. On the other hand on a January day, actual accumulated insolation through one day was 4.93 MJ/m2 in Okayama and 5.49 MJ/m2 in Giza. We can see also that in January the worst solar month, solar water heaters still provide 35.25% of the energy for Okayama and 40.37% for Giza, That was because in Okayama the number of sunny days was only 6 but there were 19 in Giza.No potential conflict of interest relevant to this article was reported.岡山大学農学部Acta Medica Okayama0474-02548711998Bruise Detection Using Complexity for Oorin Apples181186ENYong BoChenKentaroMohriKazuhikoNambaThe complexity of binary image for apples as normal, bruised around centerbruised around edge, and bruised around both edge and center were analyzed. Amulti-threshold method (thresholds determined by area rates 0.3,0.4,...0.7 for complexity rates analysis) was used successfully for bruise classification. Leaving out apples with bruising around the edge, apples were classified 85.7% correctly.No potential conflict of interest relevant to this article was reported.岡山大学農学部Acta Medica Okayama0474-02548711998遠赤外線による農産物の熱伝達に関する研究175180ENHouqingLiuKentaroMohriKazuhikoNambaHeat is transferred when the objected has temperature differences. In this research, the difference of two heating methods (far-infrared ray heating and hot wind heating) was analyzed. To compare their differences, the heat flux was measured by setting a heat flux meter beneath the surface of the object at different depths, then the heat conductivities and heat diffusion rates were analyzed. 1. Compared with hot wind, far-infrared ray heating has more heat flux before reaching a definite depth. 2. The heat conductivity and heat diffusion ratesby hot wind heating have specific properties with special objects. The heat conductivity and heat diffusion rate of far-infrared heating are higher than those of hot wind heating. The differences are considered to be caused by far-infrared rays.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.