1. Andersen A.J. and Petersen S.O., 2009. Effects of C and N availability and soil-water potential interactions on N2O evolution and PLFA composition. Soil Biol. Biochem., 41, 1726-1733, https://doi.org/10.1016/j.soil.... CrossRef Google Scholar
{"title":"Rapid response of soil GHG emissions and microbial parameters to the addition of biochar and the freeze-thaw cycle","authors":"Anna Walkiewicz, Wenxu Dong, Chunsheng Hu","doi":"10.31545/intagr/171427","DOIUrl":"https://doi.org/10.31545/intagr/171427","url":null,"abstract":"1. Andersen A.J. and Petersen S.O., 2009. Effects of C and N availability and soil-water potential interactions on N2O evolution and PLFA composition. Soil Biol. Biochem., 41, 1726-1733, https://doi.org/10.1016/j.soil.... CrossRef Google Scholar","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135739994","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}
1. Abraham E.M., Ganopoulos I., Madesis P., Mavromatis A., Mylona P., Nianiou-Obeidat I., Parissi Z., Polidoros A., Tani E., and Vlachostergios D., 2019. The use of lupin as a source of protein in animal feeding: Genomic tools and breeding approaches. Int. J. Mol. Sci., 20, 851. https://doi.org/10.3390/ijms20.... CrossRef Google Scholar
1.Abraham E.M., Ganopoulos I., Madesis P., Mavromatis A., Mylona P., Nianiou-Obeidat I., Parissi Z., Polidoros A., Tani E., and Vlachostergios D., 2019.使用羽扇豆作为动物饲养的蛋白质来源：基因组工具和育种方法。Int.J. Mol.Sci., 20, 851. https://doi.org/10.3390/ijms20....CrossRef Google Scholar
{"title":"Assessment of lupine seed fodder quality depending on the variety and tillage system used as factors for sustainable agriculture","authors":"Monika Beata Jakubus, Katarzyna Panasiewicz","doi":"10.31545/intagr/169046","DOIUrl":"https://doi.org/10.31545/intagr/169046","url":null,"abstract":"1. Abraham E.M., Ganopoulos I., Madesis P., Mavromatis A., Mylona P., Nianiou-Obeidat I., Parissi Z., Polidoros A., Tani E., and Vlachostergios D., 2019. The use of lupin as a source of protein in animal feeding: Genomic tools and breeding approaches. Int. J. Mol. Sci., 20, 851. https://doi.org/10.3390/ijms20.... CrossRef Google Scholar","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135826768","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}
J. Krzyszczak, Piotr Baranowski, Krzysztof Lamorski, C. Sławiński, A. Siedliska, W. Bojar, Wojciech Żarski, J. Żarski, R. Kuśmierek-Tomaszewska, Ahmet Ali Koç, Selim Çağatay, Peyman Uysal, Christos Staboulis, S. Nastis, Asterios Theofilou, K. Mattas, Carlos Leyva, Pablo Báez-González, Álvaro Ojeda Roldán, Obdulia Parra, P. Tkaczyk
. This paper presents the results of a survey conducted electronically in the years 2020-2022 within the framework of the AGRICORE Horizon project. It concerned the Agri-Environment-Climate Measure M10 within the Rural Development Programme 2014-2020 and aimed to quantify the impact of its effects on environmental and climatic policy implementation at a national level according to the perceptions of Polish farmers. The representativeness of the scrutinized population was checked using general data from the Polish Statistics Office. The results of our study show a positive perception of M10 by the participating farmers. The majority of them observed the income progress of their activities despite the increased workload connected with programme implementation and the increased costs associated with some of the declared activities. The innovation activities of the M10 participants were directed mainly at sustainable agriculture and protecting the environment. The respondents who did not decide to participate in M10 most frequently explained themselves by noting a lack of information about the programme, bureaucratic limitations, or doubts concerning the profitability of participation. The results of the study suggest that during the implementation of future EU agri-environmental measures, more attention should be paid to administrative and legal activities at the national level which may improve the perception of the programme.
{"title":"Impact assessment of the Agri-Environment-Climate Measure (M10) of RDP 2014-2020 on environmental and climatic policies implementation according to the perception of Polish farmers","authors":"J. Krzyszczak, Piotr Baranowski, Krzysztof Lamorski, C. Sławiński, A. Siedliska, W. Bojar, Wojciech Żarski, J. Żarski, R. Kuśmierek-Tomaszewska, Ahmet Ali Koç, Selim Çağatay, Peyman Uysal, Christos Staboulis, S. Nastis, Asterios Theofilou, K. Mattas, Carlos Leyva, Pablo Báez-González, Álvaro Ojeda Roldán, Obdulia Parra, P. Tkaczyk","doi":"10.31545/intagr/168992","DOIUrl":"https://doi.org/10.31545/intagr/168992","url":null,"abstract":". This paper presents the results of a survey conducted electronically in the years 2020-2022 within the framework of the AGRICORE Horizon project. It concerned the Agri-Environment-Climate Measure M10 within the Rural Development Programme 2014-2020 and aimed to quantify the impact of its effects on environmental and climatic policy implementation at a national level according to the perceptions of Polish farmers. The representativeness of the scrutinized population was checked using general data from the Polish Statistics Office. The results of our study show a positive perception of M10 by the participating farmers. The majority of them observed the income progress of their activities despite the increased workload connected with programme implementation and the increased costs associated with some of the declared activities. The innovation activities of the M10 participants were directed mainly at sustainable agriculture and protecting the environment. The respondents who did not decide to participate in M10 most frequently explained themselves by noting a lack of information about the programme, bureaucratic limitations, or doubts concerning the profitability of participation. The results of the study suggest that during the implementation of future EU agri-environmental measures, more attention should be paid to administrative and legal activities at the national level which may improve the perception of the programme.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41438082","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}
. Understanding which carbon or nitrogen sources the competing fungal species prefer is pivotal for specific biotechnological applications. However, this is not straightforward, as each strain sometimes behaves differently under the experimental conditions adopted. To analyse the trophic overlap of two species, it is necessary to refine diagnostic techniques and exclude variables that may interfere with the measurements. A protocol for establishing the suitability of chromogenic dyes in the analysis of filamentous fungi with phenotype microarrays is described here. The research goal was to determine the most suitable redox dye indicator and its optimal concentration that reacts quantitatively to the respiratory activity of both Verticillium spp. and Trichoderma spp. isolates in the presence of a nitrogen source. The commercial Biolog TM Redox Dye Mixes D, E, and F and also TTC (2,3,5-Triphenyltetrazolium chloride), INT (2-(4-iodophenyl)- 3-(4-nitrophenyl)-5-phenyl-2 H -tetrazolium chloride), and MTT solutions were evaluated in selected concentrations. Both their nutritive and toxic effects were quantified. Results showed that 1% “F” and 0.5% “D” Biolog TM dyes were appropriate for the functional evaluation of isolates belonging to the Verticillium and Trichoderma genera. They can be used in Biolog TM PM-nitrogen plate respiratory assays for a comprehensive functional charac - terisation of these organisms.
{"title":"Selection of redox dye and inoculum conditions for the optimisation of respirometric indices in Verticillium and Trichoderma","authors":"K. Oszust, F. Pinzari, M. Frąc","doi":"10.31545/intagr/170884","DOIUrl":"https://doi.org/10.31545/intagr/170884","url":null,"abstract":". Understanding which carbon or nitrogen sources the competing fungal species prefer is pivotal for specific biotechnological applications. However, this is not straightforward, as each strain sometimes behaves differently under the experimental conditions adopted. To analyse the trophic overlap of two species, it is necessary to refine diagnostic techniques and exclude variables that may interfere with the measurements. A protocol for establishing the suitability of chromogenic dyes in the analysis of filamentous fungi with phenotype microarrays is described here. The research goal was to determine the most suitable redox dye indicator and its optimal concentration that reacts quantitatively to the respiratory activity of both Verticillium spp. and Trichoderma spp. isolates in the presence of a nitrogen source. The commercial Biolog TM Redox Dye Mixes D, E, and F and also TTC (2,3,5-Triphenyltetrazolium chloride), INT (2-(4-iodophenyl)- 3-(4-nitrophenyl)-5-phenyl-2 H -tetrazolium chloride), and MTT solutions were evaluated in selected concentrations. Both their nutritive and toxic effects were quantified. Results showed that 1% “F” and 0.5% “D” Biolog TM dyes were appropriate for the functional evaluation of isolates belonging to the Verticillium and Trichoderma genera. They can be used in Biolog TM PM-nitrogen plate respiratory assays for a comprehensive functional charac - terisation of these organisms.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46295228","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}
S. Kalembasa, A. Siczek, D. Kalembasa, Ewa Urszula Spychaj-Fabisiak, M. Becher, B. Gebus-Czupyt
. Returning crop residue can increase soil organic matter content, and residue quality has an influence over the rate of their turnover. However, there is a lack of information con - cerning the biochemical transformations of organic compounds of N and C present in the crop residues during subsequent crop growth. In this study, the contents of organic N and C fractions in soils obtained using acid and alkaline hydrolysis under two crop rotations (faba bean vs . wheat rotation) were investigated. Black fallow served as a control. The mean total N increased in the order: black fallow, wheat rotation, faba bean rotation, total C and SOM were higher in the cropped soils than in black fal - low. Hydrolysable-N (1-step acid hydrolysis) reached 83.7% total N, amino acid-N and threonine+serine-N were the highest in faba bean rotation and the lowest in black fallow, ammonia-N and aminosugar-N were lower in black fallow than in cropped soils. Hydrolysable-N (2-step sequential fractionation) reached 85.3% total N and significant differ ences were noted between the cropped soils and black fallow, with respect to both the N and C contents. 15 N was mainly accumulated in the N soluble and eas - ily hydrolysable N compounds, and these fractions were greater in cropped soils than in black fallow. N in the humic com pounds increased from black fallow to faba bean rotation. A PCA analysis showed that crop rotation and soil sampling terms had a substan - tial influence over cluster formation. An ANOSIM test revealed significant diff erences between the crop rotation and term treat - ments. The results indicated that soil with faba bean rotation is richer in N compounds than soil with wheat as a forecrop and this may result in a reduction in N fertilizers for the succeeding crop.
{"title":"Fractions of nitrogen (including 15N) and also carbon in the soil as affected by different crop residues","authors":"S. Kalembasa, A. Siczek, D. Kalembasa, Ewa Urszula Spychaj-Fabisiak, M. Becher, B. Gebus-Czupyt","doi":"10.31545/intagr/166586","DOIUrl":"https://doi.org/10.31545/intagr/166586","url":null,"abstract":". Returning crop residue can increase soil organic matter content, and residue quality has an influence over the rate of their turnover. However, there is a lack of information con - cerning the biochemical transformations of organic compounds of N and C present in the crop residues during subsequent crop growth. In this study, the contents of organic N and C fractions in soils obtained using acid and alkaline hydrolysis under two crop rotations (faba bean vs . wheat rotation) were investigated. Black fallow served as a control. The mean total N increased in the order: black fallow, wheat rotation, faba bean rotation, total C and SOM were higher in the cropped soils than in black fal - low. Hydrolysable-N (1-step acid hydrolysis) reached 83.7% total N, amino acid-N and threonine+serine-N were the highest in faba bean rotation and the lowest in black fallow, ammonia-N and aminosugar-N were lower in black fallow than in cropped soils. Hydrolysable-N (2-step sequential fractionation) reached 85.3% total N and significant differ ences were noted between the cropped soils and black fallow, with respect to both the N and C contents. 15 N was mainly accumulated in the N soluble and eas - ily hydrolysable N compounds, and these fractions were greater in cropped soils than in black fallow. N in the humic com pounds increased from black fallow to faba bean rotation. A PCA analysis showed that crop rotation and soil sampling terms had a substan - tial influence over cluster formation. An ANOSIM test revealed significant diff erences between the crop rotation and term treat - ments. The results indicated that soil with faba bean rotation is richer in N compounds than soil with wheat as a forecrop and this may result in a reduction in N fertilizers for the succeeding crop.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44089583","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}
. Fruit fortification is a promising strategy for improving the nutritional and functional properties of shortbread biscuits, as fruit contains various bioactive compounds that pro - vide potential health benefits. This study aimed to investigate the contemporary patterns in incorporating dried and powdered fruit and their by-products into shortbread biscuits, with a focus on alterations in their physical properties such as geometrical charac - teristics, weight, colour and texture. Moreover, the methods used for obtaining fruit powders were discussed. The research was based on the analysis of papers published within the last six years, retrieved from Scopus, Web of Sciences, and Google Scholar data - bases. It has been found that drying and size reduction are crucial processes that determine the quality of fruit powders. Most importantly, the selection of the type, particle size, and quantity of the additive, as well as its processing conditions, are critical factors in achieving the desired physical characteristics of the final product. The addition of various fruits and their by-products affects the weight and geometric characteristics of the resulting biscuits. The colour of the fortified biscuits undergoes significant changes, with the brightness level typically being reduced and redness increas - ing. In particular, depending on the type of additive used, it can cause an increase or a decrease in shortbread hardness.
。水果强化是改善酥饼饼干营养和功能特性的一种有前途的策略，因为水果含有多种生物活性化合物，提供潜在的健康益处。本研究旨在探讨将干果和粉状水果及其副产品纳入酥饼饼干的当代模式，重点关注其物理特性的变化，如几何特征、重量、颜色和质地。并对果粉的制备方法进行了探讨。这项研究是基于对过去六年内发表的论文的分析，这些论文检索自Scopus、Web of Sciences和b谷歌Scholar数据库。研究发现，干燥和缩小尺寸是决定果粉质量的关键工序。最重要的是，添加剂的类型、粒度和数量的选择，以及它的加工条件，是实现最终产品所期望的物理特性的关键因素。各种水果及其副产品的加入会影响饼干的重量和几何特性。强化饼干的颜色发生了显著的变化，亮度通常会降低，而红色会增加。特别是，根据所使用添加剂的类型，它可以导致酥饼硬度的增加或减少。
{"title":"Physical properties of shortbread biscuits enriched with dried and powdered fruit and their by-products: a review","authors":"A. Krajewska, D. Dziki","doi":"10.31545/intagr/165803","DOIUrl":"https://doi.org/10.31545/intagr/165803","url":null,"abstract":". Fruit fortification is a promising strategy for improving the nutritional and functional properties of shortbread biscuits, as fruit contains various bioactive compounds that pro - vide potential health benefits. This study aimed to investigate the contemporary patterns in incorporating dried and powdered fruit and their by-products into shortbread biscuits, with a focus on alterations in their physical properties such as geometrical charac - teristics, weight, colour and texture. Moreover, the methods used for obtaining fruit powders were discussed. The research was based on the analysis of papers published within the last six years, retrieved from Scopus, Web of Sciences, and Google Scholar data - bases. It has been found that drying and size reduction are crucial processes that determine the quality of fruit powders. Most importantly, the selection of the type, particle size, and quantity of the additive, as well as its processing conditions, are critical factors in achieving the desired physical characteristics of the final product. The addition of various fruits and their by-products affects the weight and geometric characteristics of the resulting biscuits. The colour of the fortified biscuits undergoes significant changes, with the brightness level typically being reduced and redness increas - ing. In particular, depending on the type of additive used, it can cause an increase or a decrease in shortbread hardness.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47424433","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}
Vali Rasooli Sharabiani, Ali Khorramifar, H. Karami, Jesús Lozano, S. Tabor, Yousef Darvishi, M. Gancarz
. In order to accurately determine and evaluate the odour of rice, it is necessary to identify the substances that affect that odour and to develop methods to determine their amounts. For more than three decades, researchers have been studying the factors that produce and influence the aroma of rice. An electronic nose can be used to detect the volatile compounds of rice, while an olfactory machine is capable of classifying and detecting the variety, origin, and storage time of rice with a high degree of effi - ciency. This study aimed to investigate the efficacy of electronic noses and other chemometric methods such as principal component analysis, linear discriminant analysis, and the Artificial Neural Network as a cost-effective, rapid, and non-destructive method for the detection of pure and adulterated rice varieties. Therefore, an electronic nose equipped with nine metal oxide semiconductor sensors with low power consumption was used. The results showed that the amount of variance accounted for by PC1 and PC4 was 98% for the samples used. Also, the classifi - cation accuracy of the linear discriminant analysis and Artificial Neural Network methods were 100%, respectively. The Support Vector Machines method (including Nu-SVM and C-SVM) was also used, which, in all its functions except the polynomial function, produced 100% accuracy in terms of training and validation.
{"title":"Non-destructive test to detect adulteration of rice using gas sensors coupled with chemometrics methods","authors":"Vali Rasooli Sharabiani, Ali Khorramifar, H. Karami, Jesús Lozano, S. Tabor, Yousef Darvishi, M. Gancarz","doi":"10.31545/intagr/166009","DOIUrl":"https://doi.org/10.31545/intagr/166009","url":null,"abstract":". In order to accurately determine and evaluate the odour of rice, it is necessary to identify the substances that affect that odour and to develop methods to determine their amounts. For more than three decades, researchers have been studying the factors that produce and influence the aroma of rice. An electronic nose can be used to detect the volatile compounds of rice, while an olfactory machine is capable of classifying and detecting the variety, origin, and storage time of rice with a high degree of effi - ciency. This study aimed to investigate the efficacy of electronic noses and other chemometric methods such as principal component analysis, linear discriminant analysis, and the Artificial Neural Network as a cost-effective, rapid, and non-destructive method for the detection of pure and adulterated rice varieties. Therefore, an electronic nose equipped with nine metal oxide semiconductor sensors with low power consumption was used. The results showed that the amount of variance accounted for by PC1 and PC4 was 98% for the samples used. Also, the classifi - cation accuracy of the linear discriminant analysis and Artificial Neural Network methods were 100%, respectively. The Support Vector Machines method (including Nu-SVM and C-SVM) was also used, which, in all its functions except the polynomial function, produced 100% accuracy in terms of training and validation.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44187366","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}
Yang Hao, Zhang Tong, Yang Wei Li, Xiang Huan, Liu Xiao Li, Zhang Qi, Liu Lei, Y. You, Liu Ya Jie, Guo Shi Ping, Zeng Shu Hua
. The moisture content of cigar leaves during drying is an important indicator for controlling the management of drying rooms. At present, the determination of cigar leaf moisture content is mainly dependent on traditional destructive detection methods, which are inefficient and damaging to plants. In this study, a Convolution Neural Network method consisting of digital images for monitoring the moisture content of cigar leaves during the drying process was proposed. In this study, the Convolution Neural Network model was trained to learn the relationship between the images and the corresponding moisture content using the extracted colour, shape, and texture features as input factors. In order to compare the Convolution Neural Network estimation results, a widely used traditional machine learning algorithm was applied. The results demonstrated that the estimated value of Convolution Neural Network agreed with the predicted value; the R 2 was 0.9044, and the average accuracy was 87.34%. These results were better than those produced by traditional machine learning methods. The generalization test of the proposed method was conducted using varieties of cigar leaves in other drying rooms. The results showed that Convolution Neural Network is a viable method for an accurate estimation of the moisture content, the R 2 was 0.8673 and the average accuracy was 86.81%. The Convolution Neural Network established by the features extracted from digital images could accurately estimate the moisture content of cigar leaves during drying and was therefore shown to be an effective monitoring tool.
{"title":"Moisture content monitoring of cigar leaves during drying based on a Convolutional Neural Network","authors":"Yang Hao, Zhang Tong, Yang Wei Li, Xiang Huan, Liu Xiao Li, Zhang Qi, Liu Lei, Y. You, Liu Ya Jie, Guo Shi Ping, Zeng Shu Hua","doi":"10.31545/intagr/165775","DOIUrl":"https://doi.org/10.31545/intagr/165775","url":null,"abstract":". The moisture content of cigar leaves during drying is an important indicator for controlling the management of drying rooms. At present, the determination of cigar leaf moisture content is mainly dependent on traditional destructive detection methods, which are inefficient and damaging to plants. In this study, a Convolution Neural Network method consisting of digital images for monitoring the moisture content of cigar leaves during the drying process was proposed. In this study, the Convolution Neural Network model was trained to learn the relationship between the images and the corresponding moisture content using the extracted colour, shape, and texture features as input factors. In order to compare the Convolution Neural Network estimation results, a widely used traditional machine learning algorithm was applied. The results demonstrated that the estimated value of Convolution Neural Network agreed with the predicted value; the R 2 was 0.9044, and the average accuracy was 87.34%. These results were better than those produced by traditional machine learning methods. The generalization test of the proposed method was conducted using varieties of cigar leaves in other drying rooms. The results showed that Convolution Neural Network is a viable method for an accurate estimation of the moisture content, the R 2 was 0.8673 and the average accuracy was 86.81%. The Convolution Neural Network established by the features extracted from digital images could accurately estimate the moisture content of cigar leaves during drying and was therefore shown to be an effective monitoring tool.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43970333","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}
. An understanding of the kinetics of water vapour sorption allows for the prediction of the stability of food in the management of transport and storage processes, it also facilitates the optimization of drying processes, and the rationalization of the methods of studying sorption statics. The present study aimed to determine an appropriate model of the kinetics of water vapour sorption on the surface of maize starch particles, which could prove useful in describing kinetic curves as well as allowing for the determination of the time required to reach a state of equilibrium. Experimental data was obtained through the continuous measurement of the increase in sample mass. The model was developed by matching the simulation results to the experimental results. Its parameters were identified by minimizing the mean square error between the time courses of the simulation and the experimental results, which allowed for the avoidance of problems concerning data processing and the loss of information. Two methods were deployed in order to minimize the occurrence of error: multi-start and gradient ones. The proposed model provided an appropriate description of the kinetics of water vapour adsorption by maize starch, regardless of the mass of the samples used and the physical state of their particles. The time required for a state of equilibrium to be attained was significantly shorter than the usually assumed period of 30 days.
{"title":"Differential model of the kinetics of water vapour adsorption on maize starch particles","authors":"A. Ocieczek, R. Kostek, H. Toczek","doi":"10.31545/intagr/163569","DOIUrl":"https://doi.org/10.31545/intagr/163569","url":null,"abstract":". An understanding of the kinetics of water vapour sorption allows for the prediction of the stability of food in the management of transport and storage processes, it also facilitates the optimization of drying processes, and the rationalization of the methods of studying sorption statics. The present study aimed to determine an appropriate model of the kinetics of water vapour sorption on the surface of maize starch particles, which could prove useful in describing kinetic curves as well as allowing for the determination of the time required to reach a state of equilibrium. Experimental data was obtained through the continuous measurement of the increase in sample mass. The model was developed by matching the simulation results to the experimental results. Its parameters were identified by minimizing the mean square error between the time courses of the simulation and the experimental results, which allowed for the avoidance of problems concerning data processing and the loss of information. Two methods were deployed in order to minimize the occurrence of error: multi-start and gradient ones. The proposed model provided an appropriate description of the kinetics of water vapour adsorption by maize starch, regardless of the mass of the samples used and the physical state of their particles. The time required for a state of equilibrium to be attained was significantly shorter than the usually assumed period of 30 days.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43883948","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}
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