. The paper presents the research results of the response of “Ramos” potatoes under impact loading conditions. The parameters characterizing the impact such as: maximum stress, maximum force, impact time, maximum deformation, permanent deformation and restitution coefficient were determined. The extent of the damage was also assessed on the basis of the parameters describing the particular bruise such as: bruise depth and width. The impact parameters were related to the bruise size in order to determine the damage threshold for the potatoes under impact loading conditions and to show which parameters describe the bruise beginning to manifest itself. For the tested potato cultivar with a weight of 160-190 g the initiation of the bruise was found to occur at an impact velocity of 1 m s -1 . This corresponded to a bruise threshold (drop height) of 50 mm. The restitution coefficient changed to an insignificant extent which amounted to 0.44-0.49 in the tested range of the impact velocity which proves that the energy losses during the potato impact are constant and independent of the impact velocity. The maximum stress increased with increasing impact velocity, reaching a constant value of 0.9 MPa for the highest impact velocities. The stabilization of the maximum stress indicates that the damage to the potato tissue was determined by exceeding the specified stress value.
{"title":"Studies concerning the response of potatoes to impact","authors":"Z. Stropek, K. Gołacki","doi":"10.31545/intagr/148097","DOIUrl":"https://doi.org/10.31545/intagr/148097","url":null,"abstract":". The paper presents the research results of the response of “Ramos” potatoes under impact loading conditions. The parameters characterizing the impact such as: maximum stress, maximum force, impact time, maximum deformation, permanent deformation and restitution coefficient were determined. The extent of the damage was also assessed on the basis of the parameters describing the particular bruise such as: bruise depth and width. The impact parameters were related to the bruise size in order to determine the damage threshold for the potatoes under impact loading conditions and to show which parameters describe the bruise beginning to manifest itself. For the tested potato cultivar with a weight of 160-190 g the initiation of the bruise was found to occur at an impact velocity of 1 m s -1 . This corresponded to a bruise threshold (drop height) of 50 mm. The restitution coefficient changed to an insignificant extent which amounted to 0.44-0.49 in the tested range of the impact velocity which proves that the energy losses during the potato impact are constant and independent of the impact velocity. The maximum stress increased with increasing impact velocity, reaching a constant value of 0.9 MPa for the highest impact velocities. The stabilization of the maximum stress indicates that the damage to the potato tissue was determined by exceeding the specified stress value.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43164076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cuiting Dai, Yaojun Liu, Tianwei Wang, Zhaoxia Li, Yiwen Zhou, J. Deng
. Entisols are widely distributed in the hilly areas of southern China. They are affected by serious soil erosion and extensive agricultural activities, the structural and hydraulic properties of particular Entisols may differ. Characterizing soil structure and hydraulic properties is important with regard to the development of an understanding of the hydrology and ecosystem functions of shallow Entisols. X-ray computed tomography was used to characterize and quantify the soil pore structure under four typical land use types (cropland, grassland, tea orchard and forest land) from a hilly landscape in South China and the hydraulic properties of the soil including its saturated hydraulic conductivity and water retention curve were measured. The results showed that the soils under the grassland retained 14 and 21% more water at saturation than those under the cropland and tea orchard, respec-tively. The Entisol in the forest land had a significantly larger macroporosity (0.214 mm 3 mm –3 ) compared with that in the cropland (0.117 mm 3 mm –3 ) and tea orchard (0.131 mm 3 mm –3 ). The contribution of pores with a diameter >4 mm as compared to the total computed tomography derived porosity was 62.4% in the forest land, while this size class contributed 69 and 47.3% to the total porosity in the tea orchard and grassland, respectively. The saturated hydraulic conductivity value was well correlated with the degree of anisotropy and the fractal dimension.
Entisol广泛分布于中国南方丘陵地区。它们受到严重的土壤侵蚀和广泛的农业活动的影响,特定Entisol的结构和水力特性可能不同。表征土壤结构和水力特性对于理解浅层土壤的水文和生态系统功能非常重要。利用X射线计算机断层扫描技术对我国南方丘陵区四种典型土地利用类型(农田、草地、茶园和林地)下的土壤孔隙结构进行了表征和量化,并测量了土壤的水力特性,包括饱和导水率和保水曲线。结果表明,草地土壤饱和保水率分别比农田和茶园高14%和21%。与农田(0.117 mm 3 mm–3)和茶园(0.131 mm 3 mm-3)相比,林地中的Entisol具有更大的大孔隙(0.214 mm 3 mm-3)。与计算机断层扫描得出的总孔隙度相比,直径>4mm的孔隙在林地中的贡献率为62.4%,而这一尺寸类别在茶园和草地中分别占总孔隙度的69%和47.3%。饱和导水率值与各向异性程度和分形维数有很好的相关性。
{"title":"Quantifying the structural characteristics and hydraulic properties of shallow Entisol in a hilly landscape","authors":"Cuiting Dai, Yaojun Liu, Tianwei Wang, Zhaoxia Li, Yiwen Zhou, J. Deng","doi":"10.31545/intagr/148029","DOIUrl":"https://doi.org/10.31545/intagr/148029","url":null,"abstract":". Entisols are widely distributed in the hilly areas of southern China. They are affected by serious soil erosion and extensive agricultural activities, the structural and hydraulic properties of particular Entisols may differ. Characterizing soil structure and hydraulic properties is important with regard to the development of an understanding of the hydrology and ecosystem functions of shallow Entisols. X-ray computed tomography was used to characterize and quantify the soil pore structure under four typical land use types (cropland, grassland, tea orchard and forest land) from a hilly landscape in South China and the hydraulic properties of the soil including its saturated hydraulic conductivity and water retention curve were measured. The results showed that the soils under the grassland retained 14 and 21% more water at saturation than those under the cropland and tea orchard, respec-tively. The Entisol in the forest land had a significantly larger macroporosity (0.214 mm 3 mm –3 ) compared with that in the cropland (0.117 mm 3 mm –3 ) and tea orchard (0.131 mm 3 mm –3 ). The contribution of pores with a diameter >4 mm as compared to the total computed tomography derived porosity was 62.4% in the forest land, while this size class contributed 69 and 47.3% to the total porosity in the tea orchard and grassland, respectively. The saturated hydraulic conductivity value was well correlated with the degree of anisotropy and the fractal dimension.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46628367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fariba Alimohammadi, M. Rasekh, Amir Hossein Afkari Sayyah, Y. Abbaspour‐Gilandeh, H. Karami, Vali Rasooli Sharabiani, Ambra Fioravanti, M. Gancarz, P. Findura, D. Kwaśniewski
. Maize ( Zea mays ) is one of the key crops in the world, taking third place after wheat and rice in terms of cultivated area. This study aimed to demonstrate the potential of non-destructive hyperspectral imaging in the wavelength range of 400-1000 nm to discriminate between and classify maize kernels in three cultivars by using non-destructive hyperspectral imaging in the wavelength range of 400-1000 nm. Three cultivars of maize kernels were exposed to hyperspectral imaging with 20 rep -lications. Predictor variables included 28 intensities of reflection wave for spectral imaging and 4 variables in terms of the weight, length, width, and thickness of a single kernel. The classification was successfully performed through Linear Discriminant Analysis and Artificial Neural Network methods, taking into account 32, 15, and 5 predictor variables. According to the results, Linear Discriminant Analysis with 32 predictor variables is characterized by a high degree of accuracy (95%). The most important predictor variables included the reflection wave intensity of the third peak, the wavelength intensity of 490 nm, the wavelength intensity of 580 nm, and the weight and thickness of a single kernel.
{"title":"Hyperspectral imaging coupled with multivariate analysis and artificial intelligence\u0000to the classification of maize kernels","authors":"Fariba Alimohammadi, M. Rasekh, Amir Hossein Afkari Sayyah, Y. Abbaspour‐Gilandeh, H. Karami, Vali Rasooli Sharabiani, Ambra Fioravanti, M. Gancarz, P. Findura, D. Kwaśniewski","doi":"10.31545/intagr/147227","DOIUrl":"https://doi.org/10.31545/intagr/147227","url":null,"abstract":". Maize ( Zea mays ) is one of the key crops in the world, taking third place after wheat and rice in terms of cultivated area. This study aimed to demonstrate the potential of non-destructive hyperspectral imaging in the wavelength range of 400-1000 nm to discriminate between and classify maize kernels in three cultivars by using non-destructive hyperspectral imaging in the wavelength range of 400-1000 nm. Three cultivars of maize kernels were exposed to hyperspectral imaging with 20 rep -lications. Predictor variables included 28 intensities of reflection wave for spectral imaging and 4 variables in terms of the weight, length, width, and thickness of a single kernel. The classification was successfully performed through Linear Discriminant Analysis and Artificial Neural Network methods, taking into account 32, 15, and 5 predictor variables. According to the results, Linear Discriminant Analysis with 32 predictor variables is characterized by a high degree of accuracy (95%). The most important predictor variables included the reflection wave intensity of the third peak, the wavelength intensity of 490 nm, the wavelength intensity of 580 nm, and the weight and thickness of a single kernel.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43213037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}