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In cultivation, early harvest offers farmers an opportunity to increase production while decreasing the chances of lower crop production rates, ensuring that the economy remains balanced. The significant reason is to predict the disease in plants and distinguish the type of syndrome with the help of segmentation and random forest optimization classification. In this investigation, the accurate prior phase of crop imagery has been collected from different datasets like cropscience, yesmodes and nelsonwisc . In the current study, the real-time earlier state of crop images has been gathered from numerous data sources similar to crop_science, yes_modes, nelson_wisc dataset.

In this research work, random forest machine learning-based persuasive plants healthcare computing is provided. If proper ecological care is not applied to early harvesting, it can cause diseases in plants, decrease the cropping rate and less production. Until now different methods have been developed for crop analysis at an earlier stage, but it is necessary to implement methods to advanced techniques. So, the detection of plant diseases with the help of threshold segmentation and random forest classification has been involved in this investigation. This implemented design is verified on Python 3.7.8 software for simulation analysis.

In this work, different methods are developed for crops at an earlier stage, but more methods are needed to implement methods with prior stage crop harvesting. Because of this, a disease-finding system has been implemented. The methodologies like “Threshold segmentation” and RFO classifier lends 97.8% identification precision with 99.3% real optimistic rate, and 59.823 peak signal-to-noise (PSNR), 0.99894 structure similarity index (SSIM), 0.00812 machine squared error (MSE) values are attained.

The implemented machine learning design is outperformance methodology, and they are proving good application detection rate.

This study aims to conduct a bibliometric analysis of previously published articles related to adventure tourism to assimilate the current trend, gaps in the literature and future research direction of this particular field.

A total of 585 documents were retrieved from the Scopus and Web of Science core collection for analysis using VOSviewer. Performance and science mapping analysis was performed to comprehensively review the adventure tourism publication.

The findings show that publication in this field is growing significantly. Cluster analysis using the co-citation of references method resulted in four broad research areas: risk in adventure tourism, adventure tourism motivation, adventure tourism experience and adventure tourism product development.

The study acts as an archive of adventure tourism publications. Potential authors can quickly comprehend what is expected and current happening in adventure tourism field. It can assist scholars in identifying gaps and possible future directions.

本研究旨在对之前发表的与探险旅游相关的文章进行文献计量分析, 以了解该特定领域的当前趋势、文献空白和未来研究方向。

从 Scopus 和 Web of Science (WOS) 核心合集中检索到总共 585 篇文献, 使用 VOSviewer 进行分析。 执行性能和科学制图分析以全面审查探险旅游出版物。

调查结果表明, 该领域的出版物正在显着增长。 使用参考文献共引法的聚类分析产生了四个广泛的研究领域：探险旅游中的风险、探险旅游动机、探险旅游体验和探险旅游产品开发。

该研究充当冒险旅游出版物的档案。 潜在的作者可以快速理解冒险旅游领域的预期和当前发生的事情。 它可以帮助学者找出差距和未来可能的方向。

este estudio tiene como objetivo realizar un análisis bibliométrico de artículos publicados anteriormente relacionados con el turismo de aventura para asimilar la tendencia actual, los vacíos en la literatura y la dirección futura de la investigación de este campo en particular.

se recuperó un total de 585 documentos de la colección principal de Scopus y Web of Science (WOS) para su análisis mediante VOSviewer. Se realizó un análisis de mapeo científico y de rendimiento para revisar exhaustivamente la publicación de turismo de aventura.

Los hallazgos muestran que la publicación en este campo está creciendo significativamente. El análisis de conglomerados utilizando el método de cita conjunta de referencias dio como resultado cuatro áreas amplias de investigación: riesgo en el turismo de aventura, motivación del turismo de aventura, experiencia en el turismo de aventura y desarrollo de productos de turismo de aventura.

El estudio actúa como un archivo de publicaciones de turismo de aventura. Los autores potenciales pueden comprender rápidamente lo que se espera y lo que sucede actualmente en el campo del turismo de aventura. Puede ayudar a los académicos a identificar brechas y posibles direcciones futuras.

This study aims to highlight the theoretical foundations and future research directions in religious tourism and related topics from 2003 to 2023.

A total of 4,143 documents from Web of Science and Scopus databases related to religious tourism and pilgrimage were analysed using VOSviewer software.

The analysis illuminates a steady rise in religious tourism research. The most influential countries are the USA, the UK and Israel. Gendered studies, tourists’ perceptions and technology in religious tourism will be research hotspots, as predicted with keyword co-occurrence analysis.

This study thoroughly evaluates two decades of religious tourism literature through bibliometric and network analysis. It can help researchers comprehend religious tourism study more thoroughly and determine where to focus in future research.

本研究强调了 2003–2023 年宗教旅游及相关主题的理论基础和未来研究方向。

使用 VOSviewer 软件分析了来自 Web of Science 和 Scopus 数据库的与宗教旅游和朝圣相关的总共 4143 份文件。

分析表明宗教旅游研究稳步上升。 最具影响力的国家是美国、英国和以色列。 正如关键词共现分析预测的那样, 宗教旅游中的性别研究、游客感知和宗教旅游技术将成为研究热点。

本研究通过文献计量和网络分析彻底评估了二十年的宗教旅游文献。 它可以帮助研究人员更透彻地理解宗教旅游研究, 并确定未来研究的重点。

Este estudio destaca los fundamentos teóricos y las futuras direcciones de investigación en turismo religioso y temas relacionados entre 2003 y 2023.

Se analizó un total de 4143 documentos de las bases de datos Web of Science y Scopus relacionados con el turismo religioso y la peregrinación utilizando el software VOSviewer.

El análisis ilumina un aumento constante en la investigación del turismo religioso. Los países más influyentes son Estados Unidos, Reino Unido e Israel. Los estudios de género, la percepción de los turistas y la tecnología en el turismo religioso en el turismo religioso serán puntos críticos de investigación como se predice con el análisis de co-ocurrencia de palabras clave.

Este estudio evalúa minuciosamente dos décadas de literatura sobre turismo religioso a través de análisis bibliométrico y de redes. Puede ayudar a los investigadores a comprender el estudio del turismo religioso más a fondo y determinar dónde enfocarse en futuras investigaciones.

The purpose of this paper is to assess and compare different private healthcare settings based on perceived service quality in Indian context using analytical hierarchy process (AHP). The Indian private healthcare sector has been controlled by three categories of healthcare settings, namely, nursing clinics (NCs), non-corporate hospitals (NCHs) and corporate hospitals (CHs).

AHP was used to rank order of healthcare setting regarding the service quality dimensions and relative standings of every service provider with respect to its competitors. The authors collected random data from nine private hospitals situated in eastern and southern India. The authors proposed a feasible appraising approach based on AHP to decide the sustainability priority of dimensions like reliability, physical environment, empathy, efficiency, timeliness, transparency, affordability, communication, appropriateness and consistency in the Indian private healthcare industry.

The result demonstrates that Indian NCHs are performing better on customers’ perceived service quality, followed by CHs and NCs. The comparative performance of healthcare settings is an attempt to establish a performance ranking.

This research assesses dimensions of the service quality that need urgent attention. The results may provide insight to healthcare managers as to how they can improve their service quality in order to match customer expectation and to improve business performance.

The purpose of this paper is to analyse how perceived service quality and customer satisfaction lead to loyalty towards healthcare service providers.

In total, 475 hospital patients participated in a questionnaire survey in five Indian private hospitals. Descriptive statistics, factor analysis, regression and correlation statistics were employed to analyse customer perceived service quality and how it leads to loyalty towards service providers.

Results indicate that the service seeker-service provider relationship, quality of facilities and the interaction with supporting staff have a positive effect on customer perception.

Findings help healthcare managers to formulate effective strategies to ensure a better quality of services to the customers. This study helps healthcare managers to build customer loyalty towards healthcare services, thereby attracting and gaining more customers.

This paper will help healthcare managers and service providers to analyse customer perceptions and their loyalty towards Indian private healthcare services.

The internal (farmer-controlled) and external (non-farmer-controlled) factors affect crop yield. However, not a single study has identified and analyzed yield predictors in India using effective predictive models. Thus, this study aims to investigate how internal and external predictors impact pearl millet yield and Stover yield.

Descriptive analytics and artificial neural network are used to investigate the impact of predictors on pearl millet yield and Stover yield. From descriptive analytics, 473 valid responses were collected from semi-arid zone, and the predictors were categorized into internal and external factors. Multi-layer perceptron-neural network (MLP-NN) model was used in Statistical Package for the Social Sciences version 25 to model them.

The MLP-NN model reveals that rainfall has the highest normalized importance, followed by irrigation frequency, crop rotation frequency, fertilizers type and temperature. The model has an acceptable goodness of fit because the training and testing methods have average root mean square errors of 0.25 and 0.28, respectively. Also, the model has R² values of 0.863 and 0.704, respectively, for both pearl millet and Stover yield.

To the best of the authors’ knowledge, the current study is first of its kind related to impact of predictors of both internal and external factors on pearl millet yield and Stover yield.

The literature reveals that most studies have estimated crop yield using limited parameters and forecasting approaches. However, this research will examine the impact of various predictors such as internal and external of both yields. The outcomes of the study will help policymakers in developing strategies for stakeholders. The current work will improve pearl millet yield literature.