Pub Date : 2023-11-01DOI: 10.9734/cjast/2023/v42i404259
Rakesh Kumar Yadav, Manoj Kumar Tripathi, Sushma Tiwari, Ruchi Asati, Shailja Chauhan, Niraj Tripathi, R. S. Solanki, R. S. Sikarwar, Mohammad Yasin
In the realm of plant breeding, genetic diversity stands as a pivotal factor for advancing crop improvement initiatives. Morphological characterization assists as a critical role, allowing for the scrutiny of discernible traits in crop plants as this facilitates the identification, classification, and comprehension of genetic variations present among diverse genotypes. The objective of this investigation was to scrutinize the morphological traits of 71 chickpea genotypes, with a particular emphasis on 10 selected qualitative traits, in adherence to the DUS testing guidelines. The experimental design employed was the randomized complete block design (RCBD) with three replications at the Research Farm, Department of Genetics & Plant Breeding, College of Agriculture, RVSVV, Gwalior, Madhya Pradesh, India during Rabi 2021-22. Among the parameters investigated, three exhibited a consistent dimorphic phenotype, six displayed three distinct phenotypes (trimorphic), and only one trait manifested more than three phenotypic variations (polymorphic). The diverse chickpea genotypes showed a substantial amount of genetic variability, demonstrating the potential for assigning distinct morphological profiles for varietal identification and characterization. Remarkably, for traits such as the foliage and flower color and seed shape, a high level of diversity within the chickpea genotypes was investigated employing Shannon's diversity indices. This comprehensive morphological characterization not only contributes to the understanding of the genetic landscape of chickpea genotypes but also provides valuable insights for varietal identification and selection in breeding programmes in future.
{"title":"DUS-Based Morphological Profiling and Categorization of Chickpea (Cicer arietinum L.) Genotypes","authors":"Rakesh Kumar Yadav, Manoj Kumar Tripathi, Sushma Tiwari, Ruchi Asati, Shailja Chauhan, Niraj Tripathi, R. S. Solanki, R. S. Sikarwar, Mohammad Yasin","doi":"10.9734/cjast/2023/v42i404259","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i404259","url":null,"abstract":"In the realm of plant breeding, genetic diversity stands as a pivotal factor for advancing crop improvement initiatives. Morphological characterization assists as a critical role, allowing for the scrutiny of discernible traits in crop plants as this facilitates the identification, classification, and comprehension of genetic variations present among diverse genotypes. The objective of this investigation was to scrutinize the morphological traits of 71 chickpea genotypes, with a particular emphasis on 10 selected qualitative traits, in adherence to the DUS testing guidelines. The experimental design employed was the randomized complete block design (RCBD) with three replications at the Research Farm, Department of Genetics & Plant Breeding, College of Agriculture, RVSVV, Gwalior, Madhya Pradesh, India during Rabi 2021-22. Among the parameters investigated, three exhibited a consistent dimorphic phenotype, six displayed three distinct phenotypes (trimorphic), and only one trait manifested more than three phenotypic variations (polymorphic). The diverse chickpea genotypes showed a substantial amount of genetic variability, demonstrating the potential for assigning distinct morphological profiles for varietal identification and characterization. Remarkably, for traits such as the foliage and flower color and seed shape, a high level of diversity within the chickpea genotypes was investigated employing Shannon's diversity indices. This comprehensive morphological characterization not only contributes to the understanding of the genetic landscape of chickpea genotypes but also provides valuable insights for varietal identification and selection in breeding programmes in future.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"64 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135272388","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}
Pub Date : 2023-11-01DOI: 10.9734/cjast/2023/v42i404260
Vaisakh Venu, None Vipin P. R., None Prajitha N. K.
This study is intended to provide reliable and context-specific forecasting methodologies to support sustainable agricultural planning, resource allocation and policy formulation for the coconut industry in Kerala. It evaluates ARIMA models for Kerala’s coconut production area, production, and productivity. The ARIMA (0, 2, 1) model is preferred for the area of coconut production due to the precision of its residual statistics and the normality of its residual plots. The best fit for production and productivity is provided by the polynomial regression model of orders 3 and 9, respectively, which has lower MAPE, RMSE, and higher R2 values than ARIMA models. The hybrid model, which was created using the best-fitting polynomial and ARIMA models, provides a more accurate representation of the data than either the corresponding polynomial or ARIMA model due to its high R2 and low MAPE values. The hybrid models for area, production, and productivity have MAPE and R2 values of 1.78, 3.56, 3.01, and 0.9799, 0.9664, and 0.9395, respectively.
{"title":"A Comparative Analytical Study of Many Regression Model Approaches, Arima Model and a Hybrid Model for Forecasting Area, Production, and Productivity of Coconut in Kerala, India","authors":"Vaisakh Venu, None Vipin P. R., None Prajitha N. K.","doi":"10.9734/cjast/2023/v42i404260","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i404260","url":null,"abstract":"This study is intended to provide reliable and context-specific forecasting methodologies to support sustainable agricultural planning, resource allocation and policy formulation for the coconut industry in Kerala. It evaluates ARIMA models for Kerala’s coconut production area, production, and productivity. The ARIMA (0, 2, 1) model is preferred for the area of coconut production due to the precision of its residual statistics and the normality of its residual plots. The best fit for production and productivity is provided by the polynomial regression model of orders 3 and 9, respectively, which has lower MAPE, RMSE, and higher R2 values than ARIMA models. The hybrid model, which was created using the best-fitting polynomial and ARIMA models, provides a more accurate representation of the data than either the corresponding polynomial or ARIMA model due to its high R2 and low MAPE values. The hybrid models for area, production, and productivity have MAPE and R2 values of 1.78, 3.56, 3.01, and 0.9799, 0.9664, and 0.9395, respectively.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"40 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135272824","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}
Pub Date : 2023-10-31DOI: 10.9734/cjast/2023/v42i404257
Ravish Keshri, M. P. Tripathi, Dhiraj Khalkho, S. K. Verma, Shruti Verma
Watershed morphological and hydrological properties can be derived from the drainage morphometric parameter. Morphometric analysis with the help of remote sensing and GIS techniques is considered to be the most useful approach for prioritization of watersheds. The main aim of the study is to evaluate the morphometric parameters of Kantori nala milli watershed located at Mahasamund district of Chhattisgarh state, India. This study outlines the significance of digital elevation model for assessment of drainage pattern and extraction of relative parameters. Milli watershed was automatically delineated and divided into eleven micro watersheds MWS 1 to MWS 11 on the basis of topography from the Depression less Digital Elevation Model (DEM) with 10 m resolution prepared by Inverse Distance Weighted (IDW) interpolation technique. Stream order in study area milli watershed ranges from one to two. Each parameter has been assigned their ranks according to their value. Thereafter, an average value of the rank score for each of the micro watershed is calculated. The micro watershed with the lowest compound factor (Cp) was given the highest prioritized rank out of the group of micro watersheds, and vice versa. The result from the priority ranking of morphometric analysis shows that MWS 7 is having high priority while MWS 8 is having low priority. Micro watersheds MWS 9 and MWS 11 falls under same priority i.e. 6 and also micro watersheds MWS 2 and MWS 4 falls under same priority i.e. 7. To control soil erosion, various land rehabilitation programmes and bioengineering methods should be adopted on the micro watershed of high priority categories, followed by medium and low priority categories.
流域形态计量参数可以推导出流域的形态和水文特性。在遥感和地理信息系统技术的帮助下，形态计量学分析被认为是确定流域优先次序的最有用的方法。本研究的主要目的是评估位于印度恰蒂斯加尔邦Mahasamund地区的Kantori nala milli流域的形态计量参数。本文概述了数字高程模型在流域格局评价和相关参数提取中的重要意义。利用反距离加权(IDW)插值技术制备的10 m分辨率的DEM (Depression less Digital Elevation Model)，根据地形自动圈定Milli流域，划分为11个微流域MWS 1 ~ MWS 11。研究区毫米波流域的河流等级为一至二。每个参数都根据它们的值被分配了等级。然后，计算每个微流域的等级得分平均值。复合因子(Cp)最低的微流域在微流域组中优先级最高，反之亦然。形态计量分析的优先级排序结果显示，MWS 7优先级高，MWS 8优先级低。微流域MWS 9和MWS 11的优先级相同，即6，微流域MWS 2和MWS 4的优先级相同，即7。为控制土壤侵蚀，应在高优先级的微流域采用各种土地修复方案和生物工程方法，其次是中、低优先级。
{"title":"Evaluation of Morphometric Parameter for Prioritization of Kantori Nala Milli Watershed","authors":"Ravish Keshri, M. P. Tripathi, Dhiraj Khalkho, S. K. Verma, Shruti Verma","doi":"10.9734/cjast/2023/v42i404257","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i404257","url":null,"abstract":"Watershed morphological and hydrological properties can be derived from the drainage morphometric parameter. Morphometric analysis with the help of remote sensing and GIS techniques is considered to be the most useful approach for prioritization of watersheds. The main aim of the study is to evaluate the morphometric parameters of Kantori nala milli watershed located at Mahasamund district of Chhattisgarh state, India. This study outlines the significance of digital elevation model for assessment of drainage pattern and extraction of relative parameters. Milli watershed was automatically delineated and divided into eleven micro watersheds MWS 1 to MWS 11 on the basis of topography from the Depression less Digital Elevation Model (DEM) with 10 m resolution prepared by Inverse Distance Weighted (IDW) interpolation technique. Stream order in study area milli watershed ranges from one to two. Each parameter has been assigned their ranks according to their value. Thereafter, an average value of the rank score for each of the micro watershed is calculated. The micro watershed with the lowest compound factor (Cp) was given the highest prioritized rank out of the group of micro watersheds, and vice versa. The result from the priority ranking of morphometric analysis shows that MWS 7 is having high priority while MWS 8 is having low priority. Micro watersheds MWS 9 and MWS 11 falls under same priority i.e. 6 and also micro watersheds MWS 2 and MWS 4 falls under same priority i.e. 7. To control soil erosion, various land rehabilitation programmes and bioengineering methods should be adopted on the micro watershed of high priority categories, followed by medium and low priority categories.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"50 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813561","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}
Pub Date : 2023-10-28DOI: 10.9734/cjast/2023/v42i394255
None Kiran, Disha Gupta, Amit Kanawjia, Bhavna Thakur
E-National Agricultural Market (E-NAM) was launched on 14.04.2016 with a vision to bring transparency, uniformity, to realize optimum price of farmers’ produce and to provide a national wide electronic platform for trading of agricultural commodities. It has provided an alternate in form of a national market for marketing of agricultural commodities other than traditional way of marketing.26 wholesale markets of Himachal Pradesh are linked with E-NAM portal. Initially, two mandis namely APMC Dhalli and APMC Solan were chosen as pilot mandis as on 14th April, 2016, subsequently 5 more mandis by September 2016 ,12 mandis by March, 2017and 7 mandis by June 2022 were integrated in phased manner with e-National Agriculture Market Portal. At present, in addition to 26 existing market yards, 12 more market yards are proposed to be brought in the ambit of e-NAM. NAM must ensure farmers get paid on time and in full. e NAM should also ensure that the entire ecosystem including assaying and grading works in tandem to ensure that all-India participation works well in order to get our farmers a remunerative price for their produce.
{"title":"Empowering Farmers of Himachal Pradesh through E-NAM","authors":"None Kiran, Disha Gupta, Amit Kanawjia, Bhavna Thakur","doi":"10.9734/cjast/2023/v42i394255","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i394255","url":null,"abstract":"E-National Agricultural Market (E-NAM) was launched on 14.04.2016 with a vision to bring transparency, uniformity, to realize optimum price of farmers’ produce and to provide a national wide electronic platform for trading of agricultural commodities. It has provided an alternate in form of a national market for marketing of agricultural commodities other than traditional way of marketing.26 wholesale markets of Himachal Pradesh are linked with E-NAM portal. Initially, two mandis namely APMC Dhalli and APMC Solan were chosen as pilot mandis as on 14th April, 2016, subsequently 5 more mandis by September 2016 ,12 mandis by March, 2017and 7 mandis by June 2022 were integrated in phased manner with e-National Agriculture Market Portal. At present, in addition to 26 existing market yards, 12 more market yards are proposed to be brought in the ambit of e-NAM. NAM must ensure farmers get paid on time and in full. e NAM should also ensure that the entire ecosystem including assaying and grading works in tandem to ensure that all-India participation works well in order to get our farmers a remunerative price for their produce.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"9 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136158573","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}
Pub Date : 2023-10-28DOI: 10.9734/cjast/2023/v42i394256
Abdoul Kamal Assouma, Tahirou Djara, Abdou Wahidi Bello, Abdou-Aziz Sobabe, Antoine Vianou, Wilfried Tomenou
Recent advances in science and technology are raising ever-increasing security issues. In response, traditional authentication systems based on knowledge or possession have been developed, but these soon came up against limitations in terms of security and practicality. To overcome these limitations, other systems based on the individual's unique characteristics, known as biometric modalities, were developed. Of the various ways of improving the performance of biometric systems, feature fusion and the joint use of a pure biometric modality and a soft biometric modality (multi-origin biometrics) are highly promising. Unfortunately, however, we note a virtual absence of multi-origin systems in a feature fusion strategy. For our work, we therefore set out to design such a multi-origin system fusing facial features and skin color. Using OpenCV (Open Computer Vision) and Python, we extracted facial features and merged them with skin color to characterize each individual. The HOG (Histogram of Oriented Gradients) algorithm was used for face detection, and Google's deep neural network for encoding. For skin color, segmentation in the HSV (Hue, Saturation, Value) color space enabled us to isolate the skin in each image, and thanks to the k-means algorithm we had detected the dominant skin colors. The system designed in this way enabled us to go from 81.8% as a TR (Recognition Rate) with the face alone to 86.8% after fusion for a TFA (False Acceptance Rate) set at 0.1% and from 0.6% as a TEE (Equal Error Rate) to 0.55%.
近年来科学技术的进步引发了日益严重的安全问题。因此，基于知识或所有权的传统身份验证系统得到了发展，但这些系统很快就遇到了安全性和实用性方面的限制。为了克服这些限制，基于个人独特特征的其他系统被开发出来，称为生物识别模式。在提高生物识别系统性能的各种方法中，特征融合以及纯生物识别模式和软生物识别模式(多源生物识别)的联合使用是非常有前途的。然而，不幸的是，我们注意到在特征融合策略中几乎没有多起源系统。因此，在我们的工作中，我们开始设计这样一个融合面部特征和肤色的多原点系统。使用OpenCV(开放计算机视觉)和Python，我们提取面部特征并将其与肤色合并以表征每个个体。采用HOG (Histogram of Oriented Gradients)算法进行人脸检测，谷歌的深度神经网络进行编码。对于肤色，HSV (Hue, Saturation, Value)色彩空间的分割使我们能够在每张图像中隔离皮肤，并且由于k-means算法，我们已经检测到优势肤色。以这种方式设计的系统使我们能够将单独使用人脸的TR(识别率)从81.8%提高到融合后设置为0.1%的TFA(错误接受率)后的86.8%，并将TEE(相等错误率)从0.6%提高到0.55%。
{"title":"Face Recognition Using Convolutional Neural Networks and Metadata in a Feature Fusion Model","authors":"Abdoul Kamal Assouma, Tahirou Djara, Abdou Wahidi Bello, Abdou-Aziz Sobabe, Antoine Vianou, Wilfried Tomenou","doi":"10.9734/cjast/2023/v42i394256","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i394256","url":null,"abstract":"Recent advances in science and technology are raising ever-increasing security issues. In response, traditional authentication systems based on knowledge or possession have been developed, but these soon came up against limitations in terms of security and practicality. To overcome these limitations, other systems based on the individual's unique characteristics, known as biometric modalities, were developed. Of the various ways of improving the performance of biometric systems, feature fusion and the joint use of a pure biometric modality and a soft biometric modality (multi-origin biometrics) are highly promising. Unfortunately, however, we note a virtual absence of multi-origin systems in a feature fusion strategy. For our work, we therefore set out to design such a multi-origin system fusing facial features and skin color. Using OpenCV (Open Computer Vision) and Python, we extracted facial features and merged them with skin color to characterize each individual. The HOG (Histogram of Oriented Gradients) algorithm was used for face detection, and Google's deep neural network for encoding. For skin color, segmentation in the HSV (Hue, Saturation, Value) color space enabled us to isolate the skin in each image, and thanks to the k-means algorithm we had detected the dominant skin colors. The system designed in this way enabled us to go from 81.8% as a TR (Recognition Rate) with the face alone to 86.8% after fusion for a TFA (False Acceptance Rate) set at 0.1% and from 0.6% as a TEE (Equal Error Rate) to 0.55%.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"3 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136233188","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}
Hydroponics, a revolutionary soil-less cultivation method, has garnered significant attention in recent years for its potential to redefine modern agriculture. This review paper delves into the fundamental aspects of hydroponics, ranging from its inception to the cutting-edge developments that promise to reshape the future of food production. This provides an in-depth exploration of the basic principles of hydroponics, Through detailed discussions, we investigate the diversity of methods, from nutrient film technique (NFT) and deep water culture (DWC). A nuanced understanding of each system's mechanics, advantages, and limitations serves as a guide for hydroponic enthusiasts, researchers, and prospective farmers. Nutrient management, the lifeblood of hydroponics, is another focal point. We delve into the precise formulation, monitoring, and delivery of essential nutrients to optimize plant growth and yield. This section offers insights into pH and EC control, nutrient solutions, and the art of maintaining nutrient balance, all of which are crucial for successful hydroponic cultivation. The future of hydroponics beckons with boundless possibilities. The paper emphasizes the need for sustainable Eco-friendly, and efficient methods to feed a growing global population, making hydroponics a key contender. In a world with diminishing arable land and climate change challenges, hydroponics stands as a beacon of hope, promising to revolutionize agriculture and secure the future of food production. This review paper offers a comprehensive road map for anyone interested in understanding the basics of hydroponics, exploring its myriad systems, mastering nutrient management, and envisioning a greener future through hydroponic agriculture.
{"title":"Hydroponics: The Potential to Enhance Sustainable Food Production in Non-Arable Areas","authors":"Sahil Sharma, Balara Lishika, Aditya Shahi, None Shubham, Shilpa Kaushal","doi":"10.9734/cjast/2023/v42i394253","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i394253","url":null,"abstract":"Hydroponics, a revolutionary soil-less cultivation method, has garnered significant attention in recent years for its potential to redefine modern agriculture. This review paper delves into the fundamental aspects of hydroponics, ranging from its inception to the cutting-edge developments that promise to reshape the future of food production. This provides an in-depth exploration of the basic principles of hydroponics, Through detailed discussions, we investigate the diversity of methods, from nutrient film technique (NFT) and deep water culture (DWC). A nuanced understanding of each system's mechanics, advantages, and limitations serves as a guide for hydroponic enthusiasts, researchers, and prospective farmers. Nutrient management, the lifeblood of hydroponics, is another focal point. We delve into the precise formulation, monitoring, and delivery of essential nutrients to optimize plant growth and yield. This section offers insights into pH and EC control, nutrient solutions, and the art of maintaining nutrient balance, all of which are crucial for successful hydroponic cultivation. The future of hydroponics beckons with boundless possibilities. The paper emphasizes the need for sustainable Eco-friendly, and efficient methods to feed a growing global population, making hydroponics a key contender. In a world with diminishing arable land and climate change challenges, hydroponics stands as a beacon of hope, promising to revolutionize agriculture and secure the future of food production. This review paper offers a comprehensive road map for anyone interested in understanding the basics of hydroponics, exploring its myriad systems, mastering nutrient management, and envisioning a greener future through hydroponic agriculture.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"37 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381300","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}
Pub Date : 2023-10-26DOI: 10.9734/cjast/2023/v42i394254
Supragya Krishan Gopal, Syed H. Mazhar
Capital is the most important input in any sector in any country, and agriculture is no exception. The agricultural sector's performance and productivity are determined by the availability of capital for farming activities. As a result, the agriculture sector requires support or credit in order to grow and survive. Agriculture credit is desperately needed to improve the agricultural sector's performance and production. Before financial reforms, the main source of agriculture credit was non-institutional sources i.e. Sahukars, Mahajanas, Moneylenders etc. and they were providing credit facility to farmer households at very high interest rates. The study was carried out in purposively selected district of Kannauj, Uttar Pradesh. The present study has made an attempt to study as the Kisan Credit Card Scheme is being implemented in the district as well as the researcher is well acquainted with the area. 158 beneficiaries and 158 non-beneficiaries were selected randomly for the current study. The main objective of present study is to investigate the challenges and issues in the adoption of Kisan credit card scheme by farmer households and how much this scheme succeed in resolving the previous issues and challenges. Credit availability for agricultural activities is the crucial input for improving the performance and productivity of the agriculture sector. The research aims to find out the sources of finance before and after the adoption of KCC Scheme opted by farmer households for availing the credit to fulfill the capital requirement of agriculture and allied activities. The analysis demonstrates a considerable favorable change in recipients' preferred source of credit following the implementation of the KCC scheme. Following the implementation of the KCC Scheme, the beneficiaries' credit sources moved from non-institutional to institutional. The Kisan Credit Card schemes revolutionized rural financing in India. This study will be extremely useful in determining the best way to distribute the KCC plan.
{"title":"Impact of Kisan Credit Card Scheme on Farmers in Kannauj District of Uttar Pradesh, India","authors":"Supragya Krishan Gopal, Syed H. Mazhar","doi":"10.9734/cjast/2023/v42i394254","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i394254","url":null,"abstract":"Capital is the most important input in any sector in any country, and agriculture is no exception. The agricultural sector's performance and productivity are determined by the availability of capital for farming activities. As a result, the agriculture sector requires support or credit in order to grow and survive. Agriculture credit is desperately needed to improve the agricultural sector's performance and production. Before financial reforms, the main source of agriculture credit was non-institutional sources i.e. Sahukars, Mahajanas, Moneylenders etc. and they were providing credit facility to farmer households at very high interest rates. The study was carried out in purposively selected district of Kannauj, Uttar Pradesh. The present study has made an attempt to study as the Kisan Credit Card Scheme is being implemented in the district as well as the researcher is well acquainted with the area. 158 beneficiaries and 158 non-beneficiaries were selected randomly for the current study. The main objective of present study is to investigate the challenges and issues in the adoption of Kisan credit card scheme by farmer households and how much this scheme succeed in resolving the previous issues and challenges. Credit availability for agricultural activities is the crucial input for improving the performance and productivity of the agriculture sector. The research aims to find out the sources of finance before and after the adoption of KCC Scheme opted by farmer households for availing the credit to fulfill the capital requirement of agriculture and allied activities. The analysis demonstrates a considerable favorable change in recipients' preferred source of credit following the implementation of the KCC scheme. Following the implementation of the KCC Scheme, the beneficiaries' credit sources moved from non-institutional to institutional. The Kisan Credit Card schemes revolutionized rural financing in India. This study will be extremely useful in determining the best way to distribute the KCC plan.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"37 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381726","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}
Pub Date : 2023-10-26DOI: 10.9734/cjast/2023/v42i394252
Akansak Edward Alimisiwon, Nongiba Alkanam Kheni, Abdallah Issah, Kadir, Mahama
World Bank (1984) for instance defined the domestic labour subcontracting DLS as a union of activities that leads to the construction of buildings at relatively low-cost. This study was conducted to explore the role of labour-only subcontracting in the housing delivery in Ghana and the factors that drive this system, Tamale Metropolis was the research area. The significant of this study is to help the government, clients, contractors and other stake holders in the building industry appreciate how the use of labour-only subcontracting can improve the supply of housing in the Ghanaian building industry. Descriptive survey design with quantitative methods was utilized. The researcher used purposive sampling technique to sample 190 individual house owners whiles census technique was adopted to use the 42 estate developers in the Metropolis for the study. Two separate questionnaires were used which was a 5-point likert scale to gather data to address the research question. The instruments were pilot tested and the reliability coefficients were estimated to be .893 and .843 for the individual house owners and estate developers respectively. The statistical tools adopted for the analysis of the research question were means and standard deviations, frequencies and percentages for the demographic data. Independent sample t-test tool was used to determine whether there was any statistically significant difference between the estate developers and the individual house owners sampled in relation to the drivers of labour-only subcontracting. The data analyzed showed that there was no statically significant difference between the two groups. The findings of the study showed that an increase in productivity, quality and cooperation, highly flexibility and convenience and lack of ready funds/cash were identified as the major drivers of the labour-only subcontracting. It is recommended that the necessary policies be implemented to create training centers in the country with proper regulatory measures to ensure that the youth build much more skills to meet modern requirements.
{"title":"Significant Drivers of Labour-Only Subcontracting in Housing Delivery in Ghana","authors":"Akansak Edward Alimisiwon, Nongiba Alkanam Kheni, Abdallah Issah, Kadir, Mahama","doi":"10.9734/cjast/2023/v42i394252","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i394252","url":null,"abstract":"World Bank (1984) for instance defined the domestic labour subcontracting DLS as a union of activities that leads to the construction of buildings at relatively low-cost. This study was conducted to explore the role of labour-only subcontracting in the housing delivery in Ghana and the factors that drive this system, Tamale Metropolis was the research area. The significant of this study is to help the government, clients, contractors and other stake holders in the building industry appreciate how the use of labour-only subcontracting can improve the supply of housing in the Ghanaian building industry. Descriptive survey design with quantitative methods was utilized. The researcher used purposive sampling technique to sample 190 individual house owners whiles census technique was adopted to use the 42 estate developers in the Metropolis for the study. Two separate questionnaires were used which was a 5-point likert scale to gather data to address the research question. The instruments were pilot tested and the reliability coefficients were estimated to be .893 and .843 for the individual house owners and estate developers respectively. The statistical tools adopted for the analysis of the research question were means and standard deviations, frequencies and percentages for the demographic data. Independent sample t-test tool was used to determine whether there was any statistically significant difference between the estate developers and the individual house owners sampled in relation to the drivers of labour-only subcontracting. The data analyzed showed that there was no statically significant difference between the two groups. The findings of the study showed that an increase in productivity, quality and cooperation, highly flexibility and convenience and lack of ready funds/cash were identified as the major drivers of the labour-only subcontracting. It is recommended that the necessary policies be implemented to create training centers in the country with proper regulatory measures to ensure that the youth build much more skills to meet modern requirements.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134908663","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}
Pub Date : 2023-10-25DOI: 10.9734/cjast/2023/v42i384251
None Gomgnimbou Alain P. K., Koura Zoumbé, Sigue Hamadé, Soulama Adama, None Ouedraogo Osée W.
In Burkina Faso, vegetable production struggles to meet the needs of a rapidly growing population. This situation is largely explained by the low productivity of agricultural farms, which is due, among other things, to low rates of diffusion and adoption of innovations proposed by agricultural research. To identify the determinant factors of perceptions that influence the choice to adopt or not Good Agricultural Practices (GAP) by vegetable growers, a socio-economic and socio-demographic survey was conducted among 85 trained vegetable growers operating in the COMABO and Kotédougou sites in the municipality of Bobo Dioulasso. The study reveals that the use of GAP improves monetary income by 32.61% for cabbage and 71.17% for tomatoes. However, only 43% of vegetable growers perceive income improvement as the main result of adopting GAP. The econometric analysis of the survey data using a logistic model identified the factors that determine the probability of adopting the GAP technical package at 74.1%. Thus, in vegetable farming, gender, age group, ethnicity, and household head responsibility are determinants that have contributed to a significant increase or decrease in the probability of adopting GAP proposed by agronomic researchers. Indeed, the more a vegetable grower is male (significant at 5%) and older (young or adult) (significant at 10%), the more he tends to perceive income improvement as a favourable factor for adopting GAP. The diffusion and adoption of GAP could increase yields in vegetable production.
{"title":"Study of Determinant Factors of Perceptions Influencing the Choice to Adopt or Not GAP by Vegetable Growers in Peri Urban Zone of Bobo Dioulasso, Burkina Faso","authors":"None Gomgnimbou Alain P. K., Koura Zoumbé, Sigue Hamadé, Soulama Adama, None Ouedraogo Osée W.","doi":"10.9734/cjast/2023/v42i384251","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i384251","url":null,"abstract":"In Burkina Faso, vegetable production struggles to meet the needs of a rapidly growing population. This situation is largely explained by the low productivity of agricultural farms, which is due, among other things, to low rates of diffusion and adoption of innovations proposed by agricultural research. To identify the determinant factors of perceptions that influence the choice to adopt or not Good Agricultural Practices (GAP) by vegetable growers, a socio-economic and socio-demographic survey was conducted among 85 trained vegetable growers operating in the COMABO and Kotédougou sites in the municipality of Bobo Dioulasso. The study reveals that the use of GAP improves monetary income by 32.61% for cabbage and 71.17% for tomatoes. However, only 43% of vegetable growers perceive income improvement as the main result of adopting GAP. The econometric analysis of the survey data using a logistic model identified the factors that determine the probability of adopting the GAP technical package at 74.1%. Thus, in vegetable farming, gender, age group, ethnicity, and household head responsibility are determinants that have contributed to a significant increase or decrease in the probability of adopting GAP proposed by agronomic researchers. Indeed, the more a vegetable grower is male (significant at 5%) and older (young or adult) (significant at 10%), the more he tends to perceive income improvement as a favourable factor for adopting GAP. The diffusion and adoption of GAP could increase yields in vegetable production.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"6 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135216789","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}
Pub Date : 2023-10-20DOI: 10.9734/cjast/2023/v42i384248
Eluan Oliveira Nascimento, Paulo Roberto Monteiro Duailibe, Thiago Borges Trezza
Solar energy has grown exponentially around the world because it is clean and renewable, with this, photovoltaic plants are installed for its consumers as well as to relieve the electrical system of the country and guarantee the reliability. In this way, carrying out a correct dimensioning and finding a layout for the execution of a solar plant is important because it can increase or minimize the electrical losses as well as the investment. This study uses the genetic algorithm in order to find better layout to optimize the energy loss on an implanted solar power plant and resize the conductors by current capacity and voltage drop, the study shows how to program Excel to solve the multi-positioning problem through the genetic algorithm in a solar power plant. The results show that the optimization proposed by the genetic algorithm was able to reduce electrical losses by 75% and the net present value over a period of 25 years was reduced by 25%. Future research will be carried out considering 3D plans covering solar plants that are installed on the roof.
{"title":"Optimization Method for the Internal Distribution Network of a Photovoltaic Plant Using Genetic Algorithm","authors":"Eluan Oliveira Nascimento, Paulo Roberto Monteiro Duailibe, Thiago Borges Trezza","doi":"10.9734/cjast/2023/v42i384248","DOIUrl":"https://doi.org/10.9734/cjast/2023/v42i384248","url":null,"abstract":"Solar energy has grown exponentially around the world because it is clean and renewable, with this, photovoltaic plants are installed for its consumers as well as to relieve the electrical system of the country and guarantee the reliability. In this way, carrying out a correct dimensioning and finding a layout for the execution of a solar plant is important because it can increase or minimize the electrical losses as well as the investment. This study uses the genetic algorithm in order to find better layout to optimize the energy loss on an implanted solar power plant and resize the conductors by current capacity and voltage drop, the study shows how to program Excel to solve the multi-positioning problem through the genetic algorithm in a solar power plant. The results show that the optimization proposed by the genetic algorithm was able to reduce electrical losses by 75% and the net present value over a period of 25 years was reduced by 25%. Future research will be carried out considering 3D plans covering solar plants that are installed on the roof.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135569860","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}
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