Treffer: Development of an Integrated Agro-Farmer Portal for Digital Agriculture: Enhancing Productivity, Market Access, And Government Scheme Utilization.
Weitere Informationen
The Farmers Portal is an integrated, multifunctional digital platform developed to empower farmers by addressing critical challenges such as limited access to expert advice, fragmented market information, inefficient resource management, and underutilization of government welfare schemes. Agriculture continues to sustain millions globally, yet farmers face persistent challenges such as pest infestations, crop diseases, unpredictable weather, and fluctuating market prices. The portal addresses these issues by providing real-time crop guidance, expert consultation, market intelligence, ecommerce functionality, and detailed information on government schemes. The system utilizes a relational database to securely manage users, crops, products, orders, and government programs, ensuring scalability, consistency, and reliable data retrieval. The development of this portal follows a structured methodology involving requirement gathering, system design, database architecture, and webbased implementation using PHP, MySQL/MariaDB, HTML, CSS, and JavaScript. Evaluation of the system indicates significant improvements in agricultural decision-making, productivity, and farmer income. Farmers reported enhanced access to expert guidance, timely market data, and government support, while the ecommerce module allowed direct sales to consumers, minimizing intermediaries. The platform exemplifies the potential of digital technologies to transform traditional agriculture into a data-driven, sustainable, and economically viable practice. Future enhancements include IoT integration for real-time monitoring, AI-driven predictive analytics for yield and market trends, mobile application development, and multilingual support to broaden accessibility. [ABSTRACT FROM AUTHOR]
Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)