International journal of statistics and applied mathematics最新文献_第5页

An analysis of factors influencing farmers buying behaviour of micro irrigation equipment in Kadapa district of Andhra Pradesh 安得拉邦卡达帕区农民购买微灌设备行为的影响因素分析

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sg.1234

Mamidi Venkatesh, P Radhika, Ch Srilatha, A Meena

{"title":"An analysis of factors influencing farmers buying behaviour of micro irrigation equipment in Kadapa district of Andhra Pradesh","authors":"Mamidi Venkatesh, P Radhika, Ch Srilatha, A Meena","doi":"10.22271/maths.2023.v8.i5sg.1234","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sg.1234","url":null,"abstract":"The two most crucial natural resources for the growth of agriculture are land and water. In India, agriculture is the predominant user of water resources. Low level of water use efficiency in agriculture is another serious challenge for sustainable management of water resources. Micro irrigation which allows application of water to root zone of the crops through emitters, has already been adopted by many countries for transforming their agriculture. To carry out the study with the above objectives, Kadapa district of Andhra was taken up as study area. In Kadapa district almost all of the micro irrigation area is occupied by horticultural crops, in which a little above 60 per cent of area is occupied by fruit crops. The average area under micro irrigation for marginal farmers is around 1.47 acres, whereas for small farmers it is 3.96 acres and for semi medium farmers it is 6.95 acres. Around half of the respondent farmers showed their willingness to increase the area under micro irrigation in their land holding. The major factors influencing the farmers for the installation of micro irrigation system in their fields are; subsidy given by the Government, availability of water, peer influence and improvement of crop yield. The constraints encountered by farmers in the adaptation of drip irrigation technology are poor post installation services, difficulty in availability of spare parts and damages to the micro irrigation system because of inter cultivation operations. The benefits accrued by respondent farmers as a result of installation of micro irrigation system, included efficiency of water usage, reduced labour cost, reduced use of fertilizers, control of weeds and enhanced crop yield and quality.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134994353","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}

引用次数: 0

A statistical performance analysis of three double-layer homomorphic encryption schemes for cloud enterprise resource planning (ERP) data 云企业资源规划(ERP)数据三种双层同态加密方案的统计性能分析

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5a.1195

Arnold Mashud Abukari, Edem Kwedzo Bankas, Alhassan Abukari, Mohammed Muniru Iddrisu

{"title":"A statistical performance analysis of three double-layer homomorphic encryption schemes for cloud enterprise resource planning (ERP) data","authors":"Arnold Mashud Abukari, Edem Kwedzo Bankas, Alhassan Abukari, Mohammed Muniru Iddrisu","doi":"10.22271/maths.2023.v8.i5a.1195","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5a.1195","url":null,"abstract":"This study presented a statistical performance analysis of three double-layer homomorphic encryption schemes for cloud Enterprise Resource Planning (ERP) data. In this study, Abukari et al. (2021) proposed a hybrid of two homomorphic encryption scheme and compared with the state-of-the-art Usha (2018) and Bellafqira et al. (2017) double layer homomorphic encryption schemes using the combination of the RSA cryptographic algorithm and the modified Paillier cryptosystem in a hybrid approach. The Multivariate Analysis of Variance (MANOVA) was used to test whether the mean encryption times of the three schemes differ significantly across the data sizes as well as determine which encryption times among the three schemes have the largest difference for each of the data sizes. Preliminary analysis revealed that our new proposed scheme Abukari et al. (2021) has the lowest mean mean encryption times of 5.4150, 10.6570 and 39.9770 across the different data sizes of 7MB, 14MB and 200MB compared to the existing state-of-the-art Bellafqira et al. (2017) and Usha (2018). The MANOVA test revealed that there is a statistically significant difference in encryption times of the various schemes across the different data sizes, F (6, 52) = 8.827, p","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135248694","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}

引用次数: 0

Resource use efficiency of super seeder technology: A comparative study in Haryana's wheat farming 超级播种机技术的资源利用效率:哈里亚纳邦小麦种植的比较研究

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sp.1341

R Bishnoi, Vijay Kumar, Sumit ., MS Meena

引用次数: 0

A study on human resource practices of organised and semi organised players in poultry industry 家禽业有组织和半有组织参与者的人力资源实践研究

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sn.1321

K Sarika Reddy, Challa Srilatha, Pagadala Radhika, A Meena

引用次数: 0

Probability of occurrence of drought in relation to rainfed rice productivity in the old alluvial region of West Bengal 西孟加拉邦老冲积区旱情发生的概率与雨养水稻产量的关系

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sh.1252

Naffees Gowsar SR, Arunava Ghosh, Manoj Kanti Debnath, Sankalpa Ojha, Parthendu Poddar, Nishtha Pradarshika Rai

引用次数: 0

Trends in total factor productivity of sugarcane in Maharashtra: A state level evidence using DEA and SFA approach 马哈拉施特拉邦甘蔗全要素生产率趋势:使用DEA和SFA方法的邦级证据

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sl.1289

Swapnil Gupta, Prakash Singh Badal

{"title":"Trends in total factor productivity of sugarcane in Maharashtra: A state level evidence using DEA and SFA approach","authors":"Swapnil Gupta, Prakash Singh Badal","doi":"10.22271/maths.2023.v8.i5sl.1289","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sl.1289","url":null,"abstract":"This paper applied the both parametric and non-parametric approaches of productivity estimation for sugarcane in Maharashtra for the period of 1980-81 to 2020-21. The result from both the approaches signifies the importance in shift due to technological adoption as a vital source of productivity growth. The estimation of DEA and SFA produced similar results at spatial and temporal directions thus validating the TFP estimation. The analysis for growth rate, instability and decomposition analysis has been carried out for five sub-periods as per the reforms in the sugarcane industry and overall period (1950-51 to 2020-21). The state is witnessing a positive growth rate in area, production and productivity after the Mature Economic Reforms after 1990’s. However the state is suffering from serious instability issues in the sub-periods IV and V due to the scarcity of water and decline in groundwater table of the state. The positive TFP growth has been associated with associated with 0.3 per cent and a declining mean technical efficiency by -0.1 per cent per year. The TFP revived by 1.09 percent after the reforms in the sugar industry. The estimated regression results for TFP determinants revealed pressure on irrigation facilities due to prolonged drought condition of state. Since sugarcane is the leading cash crop of the state and large revenue is being generated by the crop sugar mills, balanced nutrients, and rural literacy all of these have a positive and significant contribution in increasing the agricultural productivity of the state. The results have revealed the yield stagnation is not only due to technology fatigue, but could be due to slacked input intensification. An obvious extension of the study could be incorporating more crops and states for an exhaustive and comparative analysis.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135735897","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}

引用次数: 0

Advances in soil fertility classification: Data mining approach 土壤肥力分类研究进展:数据挖掘方法

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sg.1240

Baby Akula, Dr. K Indudhar Reddy, Divya N, Parmar RS

{"title":"Advances in soil fertility classification: Data mining approach","authors":"Baby Akula, Dr. K Indudhar Reddy, Divya N, Parmar RS","doi":"10.22271/maths.2023.v8.i5sg.1240","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sg.1240","url":null,"abstract":"Agriculture is as old as civilization. Indian agriculture heritage witnessed nomadic shifting cultivation to present precision agriculture feeding its ever-burgeoning population. Indeed a magical feat that no other country in the world can partake in India in terms of its agriculture production. Soil fertility, an important dimension of soil productivity braced up India from starvation to self-sufficiency. This paper focuses on soil fertility classification of soil dataset of Ranga Reddy district of Telangana using data mining techniques viz., Tree based – Random Forest, Random Tree and; Lazy based -IBK and K Star; and Bayesian-based Naïve Bayes. The soil fertility dataset extended to 2,408 instances comprising 12 attributes of soil parameters which included soil physicochemical properties, and macro, secondary and micronutrients of soil collected from selected model villages of the Ranga Reddy district. Soil the performance of each model was examined in terms of correctly classified instances, incorrectly classified instances, Receiver Operating Characteristic (ROC) Area, Kappa statistic., mean absolute error, Root mean squared error, Relative absolute error and Root relative squared error. The classification algorithm, the Random Forest model had achieved the highest prediction accuracy of 93.69%, sensitivity of 0.937 and precision of 0.902 and F1 score of as compared with the rest of the models.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"374 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135587812","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}

引用次数: 0

Analysis of farmers perception on marketing strategies of major micro irrigation companies in Annamayya district of Andhra Pradesh 安得拉邦Annamayya地区农户对主要微灌公司营销策略的认知分析

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sg.1233

Mukkara Rahul, Challa Srilatha, Pagadala Radhika, Kallakuri Supriya

引用次数: 0

Status of genetic variability and characters association performance with promising donors in linseed (Linum usitatissimum L.) genotypes 亚麻籽(Linum usitatissimum L.)基因型遗传变异现状及性状与潜在供体的关联性能

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sg.1232

Pramod Kumar Prajapati, Shiv Ratan, Devendra K Payasi, Yogendra Singh, Rakesh Kumar, Kundan Muwel

引用次数: 0

Forecasting pearl millet production and prices in Rajasthan, India: An ARIMA approach 印度拉贾斯坦邦珍珠粟产量和价格预测:ARIMA方法

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5se.1209

Tarun Gandhi, V Saravanakumar, M Chandrakumar, K Divya, S Senthilnathan

{"title":"Forecasting pearl millet production and prices in Rajasthan, India: An ARIMA approach","authors":"Tarun Gandhi, V Saravanakumar, M Chandrakumar, K Divya, S Senthilnathan","doi":"10.22271/maths.2023.v8.i5se.1209","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5se.1209","url":null,"abstract":"Pearl millet holds significant agricultural importance in India, particularly within arid and semi-arid regions of Rajasthan. In India, Rajasthan state leads global Pearl millet production with 5.15 Mt in 2022-23 and cultivated across 4.51 Mha. Although, Rajasthan tops in both production and cultivated area in India, the price and non-price factors lead to the fluctuation in prices and production of pearl millet. Pearl millet prices have fluctuated over many years and also experienced climate change during the season and after the production of pearl millet. Forecasting prices and production will help the farmers to make decisions on marketing, and acreage allocation and to sustain the production of pearl millet. Therefore, the present study aims to forecast pearl millet prices and production in Rajasthan. We used time series data comprising average monthly prices of pearl millet to forecast up to December 2024 and annual production data to forecast up to the year 2029-30. The ARIMA (Autoregressive Integrated Moving Average) and SARIMA (Seasonal Autoregressive Integrated Moving Average) models were employed to forecast pearl millet production and prices. The best-fitted model was ARIMA (0, 1, 2) with drift for pearl millet production and ARIMA (1, 1, 1) (1, 0, 1) for pearl millet prices. The findings suggest a projected increase in pearl millet prices and production also shows an increasing trend in Rajasthan.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135347032","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}

引用次数: 0