Hery Toiba, A. Noor, Mohibbur Rahman, achman Hartono, Rosihan Asmara, D. Retnoningsih
The consumption of instant noodles in Indonesia is the second highest globally. However, people are now more aware of sustainable lifestyles and the health risks of consuming food additives, so some opt for more organic choices, including instant noodles. Research on customers’ preferences in this area remains lacking, so the current study aims to fill the gap. This study also analyses the relationship between the choices and consumers’ future considerations. Discrete Choice Experiment (DCE) method was used to reveal the perception of sustainable attributes in organic instant noodles. The future considerations were measured using the Future Consequences Consideration (FCC) scale. As many as 592 respondents participated in the study, selected using the convenience sampling method. Data were analyzed using conditional logit via package support.CEs on R software. The findings show that Indonesian consumers’ preferences are primarily based on the extrinsic attributes: organic labels and packaging materials, but they also consider the health claims. They will likely prefer instant noodles with organic characteristics for future considerations. The results of this study have implications for instant noodle product development. Young consumers take up a large portion of the market, and they are now more aware of sustainability and health. The current study can inform the product development and the approach to the targeted market. To the best of the authors’ knowledge, this is the first study on consumer perception on sustainability attributes in organic instant noodles.
{"title":"Consumers’ Preference and Future Consideration Toward Organic Instant Noodles: Evidence from Indonesia","authors":"Hery Toiba, A. Noor, Mohibbur Rahman, achman Hartono, Rosihan Asmara, D. Retnoningsih","doi":"10.7160/aol.2023.150110","DOIUrl":"https://doi.org/10.7160/aol.2023.150110","url":null,"abstract":"The consumption of instant noodles in Indonesia is the second highest globally. However, people are now more aware of sustainable lifestyles and the health risks of consuming food additives, so some opt for more organic choices, including instant noodles. Research on customers’ preferences in this area remains lacking, so the current study aims to fill the gap. This study also analyses the relationship between the choices and consumers’ future considerations. Discrete Choice Experiment (DCE) method was used to reveal the perception of sustainable attributes in organic instant noodles. The future considerations were measured using the Future Consequences Consideration (FCC) scale. As many as 592 respondents participated in the study, selected using the convenience sampling method. Data were analyzed using conditional logit via package support.CEs on R software. The findings show that Indonesian consumers’ preferences are primarily based on the extrinsic attributes: organic labels and packaging materials, but they also consider the health claims. They will likely prefer instant noodles with organic characteristics for future considerations. The results of this study have implications for instant noodle product development. Young consumers take up a large portion of the market, and they are now more aware of sustainability and health. The current study can inform the product development and the approach to the targeted market. To the best of the authors’ knowledge, this is the first study on consumer perception on sustainability attributes in organic instant noodles.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48629634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Using the new economics labor migration theory as a theoretical framework and the multinomial treatment effects negative binomial regression as an analytical model in southern Ethiopia, this study investigated the effects of rural out-migration on the intensity of agricultural technology adoption. In the year 2021, data were collected from 415 sample houses using stratified random sampling. Regression analysis showed that while the influence of migration from rural to urban areas is negligible, participation in international migration greatly increases the likelihood of technology adoption in rural families by 38.9%. The intensity of agricultural technology adoption by rural households is negatively and significantly correlated with male-headed households and household age, while the frequency of extension visits, non-farm participation, saving, membership in cooperatives, sales of livestock, and tropical livestock unit are positively and significantly related to the intensity of agricultural technology adoption. The outcome is consistent with the labor migration theory's risk and credit hypotheses. To encourage the adoption of agricultural technology and stop the recent surge of rural out-migration in southern Ethiopia, policymakers should provide access to capital, public services, and viable off-farm employment in rural areas.
{"title":"Impact of Rural Out-Migration on Agricultural Technology Adoption of Rural Households in Southern Ethiopia","authors":"F. Eshetu, J. Haji, M. Ketema, A. Mehare","doi":"10.7160/aol.2023.150101","DOIUrl":"https://doi.org/10.7160/aol.2023.150101","url":null,"abstract":"Using the new economics labor migration theory as a theoretical framework and the multinomial treatment effects negative binomial regression as an analytical model in southern Ethiopia, this study investigated the effects of rural out-migration on the intensity of agricultural technology adoption. In the year 2021, data were collected from 415 sample houses using stratified random sampling. Regression analysis showed that while the influence of migration from rural to urban areas is negligible, participation in international migration greatly increases the likelihood of technology adoption in rural families by 38.9%. The intensity of agricultural technology adoption by rural households is negatively and significantly correlated with male-headed households and household age, while the frequency of extension visits, non-farm participation, saving, membership in cooperatives, sales of livestock, and tropical livestock unit are positively and significantly related to the intensity of agricultural technology adoption. The outcome is consistent with the labor migration theory's risk and credit hypotheses. To encourage the adoption of agricultural technology and stop the recent surge of rural out-migration in southern Ethiopia, policymakers should provide access to capital, public services, and viable off-farm employment in rural areas.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44831253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to meet the world's demand for food production, farmers and producers have improved and increased their agricultural production capabilities, leading to a profit acceleration in the field. However, this growth has also caused significant environmental damage due to the widespread use of herbicides. Weeds competing with crops result in lower crop yields and a 30% increase in losses. To rationalize the use of these herbicides, it would be more effective to detect the presence of weeds before application, allowing for the selection of the appropriate herbicide and application only in areas where weeds are present. The focus of this paper is to define a pipeline for detecting weeds in images through the use of a Mask R-CNN-based weed classification and segmentation module. The model was initially trained locally on our machine, but limitations and issues with training time prompted the team to switch to cloud solutions for training.
为了满足世界对粮食生产的需求，农民和生产者已经改善和提高了他们的农业生产能力，导致该领域的利润加速增长。然而，由于除草剂的广泛使用，这种增长也造成了严重的环境破坏。杂草与作物竞争导致作物产量下降，损失增加30%。为了使这些除草剂的使用合理化，在施用前检测杂草的存在将是更有效的，这样可以选择适当的除草剂，并且只在杂草存在的地区施用。本文的重点是通过使用基于Mask r - cnn的杂草分类和分割模块，定义一个检测图像中杂草的管道。该模型最初是在我们的机器上进行本地培训的，但培训时间的限制和问题促使团队改用云解决方案进行培训。
{"title":"Developing an Efficient System with Mask R-CNN for Agricultural Applications","authors":"B. Jabir, Khalid El Moutaouakil, N. Falih","doi":"10.7160/aol.2023.150105","DOIUrl":"https://doi.org/10.7160/aol.2023.150105","url":null,"abstract":"In order to meet the world's demand for food production, farmers and producers have improved and increased their agricultural production capabilities, leading to a profit acceleration in the field. However, this growth has also caused significant environmental damage due to the widespread use of herbicides. Weeds competing with crops result in lower crop yields and a 30% increase in losses. To rationalize the use of these herbicides, it would be more effective to detect the presence of weeds before application, allowing for the selection of the appropriate herbicide and application only in areas where weeds are present. The focus of this paper is to define a pipeline for detecting weeds in images through the use of a Mask R-CNN-based weed classification and segmentation module. The model was initially trained locally on our machine, but limitations and issues with training time prompted the team to switch to cloud solutions for training.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44907458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Charvát, František Zdražil, O. Čerba, Jiří Kvapil, M. Tuchyna, Marcela Bindzárová Gergeľová, Petr Uhlíř, S. Horáková, M. Kollerová, Hana Kubícková, I. Košková, Akaninyene Obot, M. Splichal
Hub4Everybody is a one-of-a-kind solution for publishing, sharing and cooperative management of geographical datasets, such as professional data and measuring, results of research projects or student papers, educational materials, emotional maps, visualization of in-field research and other maps, tables, or databases. You can easily upload or update your data as well as adjust the parameters of sharing among different audiences. Hub4Everybody is an alternative tool combining online office software with an editorial system for spatial data. It is also an Open-Source alternative to already existing commercial solutions, while offering additional extending options. Hub4Everybody offers all usual functions of geoportals (working with a map, linking of external data and services) but on top of that it offers a possibility to link desktop and mobile solutions for geographical data processing, data visualisation in form of storyboard and communication components via social networks. The solution is scalable and fully adaptable to the end-user needs. You can store your data directly on Hub4Everybody cloud or in your own infrastructure. All technologies used for Hub4Everybody are open source, which enables you to communicate with all kinds of users all over the world while no costs are necessary. The paper describes not only the current system, but also the history of development and potential utilization. An intensive testing and development using a series of INSPIRE Hackathons are an important part of development.
{"title":"Hub4Everybody - New Collaborative Environment for Sharing","authors":"K. Charvát, František Zdražil, O. Čerba, Jiří Kvapil, M. Tuchyna, Marcela Bindzárová Gergeľová, Petr Uhlíř, S. Horáková, M. Kollerová, Hana Kubícková, I. Košková, Akaninyene Obot, M. Splichal","doi":"10.7160/aol.2022.140404","DOIUrl":"https://doi.org/10.7160/aol.2022.140404","url":null,"abstract":"Hub4Everybody is a one-of-a-kind solution for publishing, sharing and cooperative management of geographical datasets, such as professional data and measuring, results of research projects or student papers, educational materials, emotional maps, visualization of in-field research and other maps, tables, or databases. You can easily upload or update your data as well as adjust the parameters of sharing among different audiences. Hub4Everybody is an alternative tool combining online office software with an editorial system for spatial data. It is also an Open-Source alternative to already existing commercial solutions, while offering additional extending options. Hub4Everybody offers all usual functions of geoportals (working with a map, linking of external data and services) but on top of that it offers a possibility to link desktop and mobile solutions for geographical data processing, data visualisation in form of storyboard and communication components via social networks. The solution is scalable and fully adaptable to the end-user needs. You can store your data directly on Hub4Everybody cloud or in your own infrastructure. All technologies used for Hub4Everybody are open source, which enables you to communicate with all kinds of users all over the world while no costs are necessary. The paper describes not only the current system, but also the history of development and potential utilization. An intensive testing and development using a series of INSPIRE Hackathons are an important part of development.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47304518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the vast popularity of the deep learning models in the engineering and mathematical fields, Artificial Neural Networks (ANN) have recently attracted significant research applications in agriculture, economics, informatics and finance. In this paper, we use a deep learning method to capture and predict the unknown complex nonlinear characteristics of agricultural output based on autoregressive artificial neural network, using Nigeria as a case study. Using the proposed model, shocks in agricultural output is analyzed and modeled using data obtained for a period of forty years (1980-2019), and compared with analyses obtained from the autoregressive integrated moving average model (ARIMA). This result is significant because it justifies the superiority of the hybrid ANN model over the traditional Box-Jenkins methodology for forecasting non-stationary time series. The empirical results show that the proposed autoregressive ANN model achieves an improved forecasting accuracy over the traditional Box-Jenkins ARIMA method. It is further proposed that various types of artificial neural networks would be useful in forecasting and solving relevant tasks and problems widely defined in global agricultural production.
{"title":"Comparative Analysis of ARIMA and Artificial Neural Network Techniques for Forecasting Non-Stationary Agricultural Output Time Series","authors":"Olushina Olawale Awe Awe, Ronaldo Dias","doi":"10.7160/aol.2022.140401","DOIUrl":"https://doi.org/10.7160/aol.2022.140401","url":null,"abstract":"With the vast popularity of the deep learning models in the engineering and mathematical fields, Artificial Neural Networks (ANN) have recently attracted significant research applications in agriculture, economics, informatics and finance. In this paper, we use a deep learning method to capture and predict the unknown complex nonlinear characteristics of agricultural output based on autoregressive artificial neural network, using Nigeria as a case study. Using the proposed model, shocks in agricultural output is analyzed and modeled using data obtained for a period of forty years (1980-2019), and compared with analyses obtained from the autoregressive integrated moving average model (ARIMA). This result is significant because it justifies the superiority of the hybrid ANN model over the traditional Box-Jenkins methodology for forecasting non-stationary time series. The empirical results show that the proposed autoregressive ANN model achieves an improved forecasting accuracy over the traditional Box-Jenkins ARIMA method. It is further proposed that various types of artificial neural networks would be useful in forecasting and solving relevant tasks and problems widely defined in global agricultural production.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45326343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Sadłowski, R. Beluhova-Uzunova, J. Popp, D. Atanasov, B. Ivanova, M. Shishkova, K. Hristov
The study aims to identify the degree of direct payments concentration in selected Central and Eastern European Member States (compared to the entire EU) and outline the perspectives and recommendations for the next programming period. The spatial scope of the study includes Poland, the Czech Republic, Hungary and Bulgaria. The time scope covers the period 2009–2019. The survey indicates that the payments distribution in Bulgaria, the Czech Republic, Hungary, and to a lesser extent also in Poland, is highly unbalanced. The analysed countries used the redistribution instruments, optional for the Member States, which were introduced by the 2013 CAP reform, to a moderate extent, in order to ensure a more even funds distribution between the beneficiaries. It cannot be ruled out that instruments ensuring a more even funds distribution would be politically easier to introduce at the EU level than at the national level. Nevertheless, also in the next financial perspective, in line with the subsidiarity principle, this issue is left to the Member States.
{"title":"Direct Payments Distribution Between Farmers in Selected New EU Member States","authors":"A. Sadłowski, R. Beluhova-Uzunova, J. Popp, D. Atanasov, B. Ivanova, M. Shishkova, K. Hristov","doi":"10.7160/aol.2022.140408","DOIUrl":"https://doi.org/10.7160/aol.2022.140408","url":null,"abstract":"The study aims to identify the degree of direct payments concentration in selected Central and Eastern European Member States (compared to the entire EU) and outline the perspectives and recommendations for the next programming period. The spatial scope of the study includes Poland, the Czech Republic, Hungary and Bulgaria. The time scope covers the period 2009–2019. The survey indicates that the payments distribution in Bulgaria, the Czech Republic, Hungary, and to a lesser extent also in Poland, is highly unbalanced. The analysed countries used the redistribution instruments, optional for the Member States, which were introduced by the 2013 CAP reform, to a moderate extent, in order to ensure a more even funds distribution between the beneficiaries. It cannot be ruled out that instruments ensuring a more even funds distribution would be politically easier to introduce at the EU level than at the national level. Nevertheless, also in the next financial perspective, in line with the subsidiarity principle, this issue is left to the Member States.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43864499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kajohnjak Nuanphromsakul, Katarzyna Szczepańska-Woszczyna, S. Kot, Singha Chaveesuk, Wornchanok Chaiyasoonthorn
The study investigated the factors that influence rubber farmers' cooperatives from the perspective of sustainability in Thailand. The research adopted a quantitative survey methodology with data purposively collected from 434 Thai rubber farmer groups. The variables included trust, sustainability, perceived value, satisfaction, loyalty, and brand image. The model was evaluated using Confirmatory Factor Analysis (CFA), while Structural Equation Modeling (SEM) was used to assess the hypotheses. The results indicated that the sustainability of the rubber farmers' cooperatives as a corporate entity is influenced by brand image, loyalty, and satisfaction. Trust was also found to have a significant effect on the satisfaction and loyalty of the rubber farmers' cooperatives. The research recommended that to enhance the sustainability of the rubber farmers' cooperative's brand image, loyalty, and satisfaction should be improved. The research's drawback is that it only looked at the rubber farmer cooperatives of Thailand as a corporation, and therefore, these factors should be taken into account when applying these results outside of this scope.
{"title":"Sustainability of Rubber Farmers Cooperatives: Empirical Evaluation of Determining Factors","authors":"Kajohnjak Nuanphromsakul, Katarzyna Szczepańska-Woszczyna, S. Kot, Singha Chaveesuk, Wornchanok Chaiyasoonthorn","doi":"10.7160/aol.2022.140407","DOIUrl":"https://doi.org/10.7160/aol.2022.140407","url":null,"abstract":"The study investigated the factors that influence rubber farmers' cooperatives from the perspective of sustainability in Thailand. The research adopted a quantitative survey methodology with data purposively collected from 434 Thai rubber farmer groups. The variables included trust, sustainability, perceived value, satisfaction, loyalty, and brand image. The model was evaluated using Confirmatory Factor Analysis (CFA), while Structural Equation Modeling (SEM) was used to assess the hypotheses. The results indicated that the sustainability of the rubber farmers' cooperatives as a corporate entity is influenced by brand image, loyalty, and satisfaction. Trust was also found to have a significant effect on the satisfaction and loyalty of the rubber farmers' cooperatives. The research recommended that to enhance the sustainability of the rubber farmers' cooperative's brand image, loyalty, and satisfaction should be improved. The research's drawback is that it only looked at the rubber farmer cooperatives of Thailand as a corporation, and therefore, these factors should be taken into account when applying these results outside of this scope.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43698798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thanh Quang Ngo, Khai Duc Luu, D. Nguyen, Thanh Xuan Bui, Sang Nguyen Van, Ky Tran Nguyen
The sustainable livelihoods framework (SLF) is a comprehensive way to study agricultural issues. So far, to our best knowledge, no study has applied the SLF to examine the influence of land quality on land use intensively. The current research examines the effects of land quality on farmers’ decision-making on land use in Vietnam by modifying the sustainable livelihoods framework and using the fixed effects regression model. The method controlled the household and commune-level unobserved invariant characteristics and resulted in more robust estimates than pooled Ordinary Least Squares (OLS) estimation. The sample is a five-wave panel dataset of 2008-2016 with 1,534 farm households. The results reveal that land quality affects land-use choices through several aspects of land quality. More specifically, regarding topography, plot fertility level, plot locations, and soil and water conservation, results show that their effects reflect the cultivating practices for each land-use type in the sample. Findings also show that the irrigation system positively affects rice production in Vietnam. Policymakers should consider various aspects of land quality when designing policies and programs relating to land use, irrigation distribution, and especially the master plan for agricultural production and rural development. Flexible guidance for land uses of each type is closely connected with land quality in each region that may be most suitable for sustainable agriculture development.
{"title":"Effects of Land Quality on Land Use: Farm-level Panel-data Evidence from Viet Nam","authors":"Thanh Quang Ngo, Khai Duc Luu, D. Nguyen, Thanh Xuan Bui, Sang Nguyen Van, Ky Tran Nguyen","doi":"10.7160/aol.2022.140406","DOIUrl":"https://doi.org/10.7160/aol.2022.140406","url":null,"abstract":"The sustainable livelihoods framework (SLF) is a comprehensive way to study agricultural issues. So far, to our best knowledge, no study has applied the SLF to examine the influence of land quality on land use intensively. The current research examines the effects of land quality on farmers’ decision-making on land use in Vietnam by modifying the sustainable livelihoods framework and using the fixed effects regression model. The method controlled the household and commune-level unobserved invariant characteristics and resulted in more robust estimates than pooled Ordinary Least Squares (OLS) estimation. The sample is a five-wave panel dataset of 2008-2016 with 1,534 farm households. The results reveal that land quality affects land-use choices through several aspects of land quality. More specifically, regarding topography, plot fertility level, plot locations, and soil and water conservation, results show that their effects reflect the cultivating practices for each land-use type in the sample. Findings also show that the irrigation system positively affects rice production in Vietnam. Policymakers should consider various aspects of land quality when designing policies and programs relating to land use, irrigation distribution, and especially the master plan for agricultural production and rural development. Flexible guidance for land uses of each type is closely connected with land quality in each region that may be most suitable for sustainable agriculture development.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44286295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
At present, Peru's agricultural sector has a shortfall of professionals, so livestock producers cannot be provided with relevant and reliable information to ensure good nutrition and care for dairy cows, which affects productivity. Milchbot is a chatbot that answers queries about the feeding and care of dairy cows based on reliable documentation. To do so, a chatbot model was designed to cover the topics of feeding, care, news and frequently asked questions for the planning, feeding and care processes about dairy cows. The model consists of a friendly interface, a dialog engine and a search engine that allows you to find and provide information from a document storage. This model was implemented employing Watson Assistant and Discovery. Milchbot was used and evaluated by 6 livestock producers and 7 zootechnicians. The results of the usability and satisfaction surveys show a high rating for both livestock producers and zootechnicians, and it should be noted that zootechnicians gave very high ratings on satisfaction.
{"title":"Milchbot: App to Support the Process of Feeding and Caring for Dairy Cows in Peru","authors":"Kevin Herrera, J. Miranda, D. Mauricio","doi":"10.7160/aol.2022.140403","DOIUrl":"https://doi.org/10.7160/aol.2022.140403","url":null,"abstract":"At present, Peru's agricultural sector has a shortfall of professionals, so livestock producers cannot be provided with relevant and reliable information to ensure good nutrition and care for dairy cows, which affects productivity. Milchbot is a chatbot that answers queries about the feeding and care of dairy cows based on reliable documentation. To do so, a chatbot model was designed to cover the topics of feeding, care, news and frequently asked questions for the planning, feeding and care processes about dairy cows. The model consists of a friendly interface, a dialog engine and a search engine that allows you to find and provide information from a document storage. This model was implemented employing Watson Assistant and Discovery. Milchbot was used and evaluated by 6 livestock producers and 7 zootechnicians. The results of the usability and satisfaction surveys show a high rating for both livestock producers and zootechnicians, and it should be noted that zootechnicians gave very high ratings on satisfaction.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42698750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Košovská, M. Hallová, I. Váryová, E. Silerova, K. Hennyeyová, Petr Cihelka
As a result of the explosive growth of scientific knowledge and the rapid development of ICT, the world economy is undergoing crucial global changes, which are the most significant since the industrial revolution. Digitization represents the most important element of the fourth industrial revolution, enabling the connection of technology and people. The digital economy is related to the rapid onset and penetration of information and communication technologies into all areas of human activity, which also requires new perspectives on the factors affecting the development and success of the economy. We digitize information and data, digitize the processes and systems that make up the functioning of the company, and digitally transform the company and its strategy. The main task of article is to determine the digital economy in the context of digital transformation and their impact on the electronification of accounting processes in the Slovak Republic. The article defines the progress and level of development of Europe's digital competitiveness in individual EU member states using the Digital Economy and Society Index (DESI). The position of Slovakia and the EU is compared for the period from 2018 to 2022. Slovakia needs to create conditions for the gradual digital transformation of all sectors of the economy. Digitization is also coming to the accounting. The article also describes how the approved amendment to the Act on Accounting as of January 1, 2022 creates space for streamlining the processing and archiving of accounting records. The current change in the amendment to the Act on Accounting thus offers completely new opportunities for working with corporate accounting in relation to internal processes in the company, but also in relation to financial administration or tax authorities. All entities, this also applies to agricultural entities keeping the double entry accounting, are obliged to follow the Act No. 431/2002 Coll. on Accounting as amended.
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