A Social Network-Based Web Service Framework for Optimal Actor Engagement for Enhancing Connectivity and Service in Agriculture

Abstract

The emergence of social networks have opened a new paradigm for professional groups to student groups to exchange their information with their contemporaries quickly and efficiently. The social networking enables to set up re- lations among the people (called actors) who share common interests, activities or connections. An actor or a person plays a predominant role in sharing social networking services, hence optimal provision of web service to actors is essential. Web service is an important area of research which enables actors to acquire required services over devices such as smartphone, laptop, etc. In this paper, we present a Social Network based Web Service (SNWS) by considering actor’s characteristic features such as personal information, professional information, social status, etc. along with relation among the actors. The designed SNWS is tested over an Agriculture Social Network (ASN) which constitutes a set of actors along with their characteristic features and the relations among the actors, and renders the required web service such as Uniform Resource Locator (URL) to actors. Results are obtained for accuracy of the Actor Relational Model (ARM), and the average service time required by a set of actors. The proposed Actor Relational Model is accurate, and there is significant improvement in the average service time.

Introduction: focuses on leveraging social networks to connect farmers, suppliers, and stakeholders for improved collaboration. It facilitates real-time information sharing, resource optimization, and knowledge dissemination. The framework enhances agricultural productivity by fostering community-driven solutions and personalized support. By integrating technology and social engagement, it bridges gaps in accessibility and service delivery.

Objectives: To establish a platform for seamless interaction and real-time communication between farmers, suppliers, agricultural experts, and policymakers, To optimize the sharing of agricultural resources, knowledge, and best practices among stakeholders, thereby improving efficiency and productivity, To provide data-driven insights and recommendations through analytics, enabling better decision-making in agriculture, To foster active participation and collaboration among stakeholders, addressing common challenges and developing collective solutions, To integrate modern technologies such as IoT, sensors, and data analytics for providing farmers with tailored recommendations and enhancing farming practices, To bridge gaps in access to critical agricultural information, tools, and market opportunities, especially for small-scale farmers.

Methods: The methodology involves designing a web-based platform that integrates social networking features with advanced agricultural tools and services. The framework leverages user profiles to categorize actors such as farmers, suppliers, experts, and policymakers, enabling targeted engagement and collaboration. Data collection through IoT sensors, satellite imagery, and user-generated content feeds into a centralized system for real-time analysis and decision-making. Algorithms are employed to match stakeholders with relevant resources, market opportunities, and expert advice. The system also incorporates communication tools, including forums, messaging, and video conferencing, to facilitate interaction. A pilot implementation phase with select agricultural communities is conducted to test the framework’s effectiveness, followed by iterative improvements based on user feedback and performance metrics. The final framework aims to enhance connectivity, streamline resource sharing, and empower stakeholders through a scalable and user-friendly platform.

Results: The implementation is for Optimal Actor Engagement for Enhancing Connectivity and Service in Agriculture" demonstrated significant improvements in stakeholder collaboration and resource optimization. Farmers reported increased access to real-time information, expert advice, and market opportunities, leading to better decision-making and productivity gains. The platform facilitated faster communication between actors, reducing response times for critical issues such as pest outbreaks or weather-related challenges. Additionally, the use of analytics enabled tailored recommendations, improving resource utilization and promoting sustainable farming practices. Pilot studies showed a notable increase in farmer engagement, with measurable improvements in crop yields, cost savings, and market reach. The framework also strengthened the linkages between policymakers and grassroots actors, leading to more inclusive and effective agricultural strategies. Overall, the results highlighted the platform's potential to revolutionize agricultural connectivity and services.

Conclusions: the work successfully bridges the gap between agricultural stakeholders, fostering real-time collaboration, resource optimization, and informed decision-making. By leveraging modern technologies and social networking features, the framework enhances productivity, sustainability, and market access while empowering farmers and communities. This innovative approach demonstrates the potential to revolutionize agricultural practices, paving the way for a more connected, efficient, and resilient agricultural ecosystem.