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@article{177556,
        author = {Jitya Reddy Bogi Reddy and Ashritha Biyyala and Manitej Bejjarapu and Dipin Sanjay and Hemanth Ketineni and S. Vinod Reddy and B. Balakrishna},
        title = {AgriGrow-A Smart Agricultural Support Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1332-1339},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177556},
        abstract = {Technology has developed rapidly in all industries over the last few decades. As expected, agriculture also benefits from an era of digital transformation and is technically stronger. Today, farmers use intelligent devices to acquire knowledge of plants and cattle, make predictions, take better measures, improve efficiency and production. However, the main challenge now is combining and consolidating data from a variety of data sources in a way that is easy to use and understand. In this article, solutions for data integration and analysis were presented and collected on a web platform by smart agricultural sensors. With the rapid growth of the population and increasing demand for food worldwide, increasing productivity in agricultural processes is extremely important. Smart farming is a concept that emphasizes the use of modern technologies such as the Internet of Things (IoT) and artificial intelligence (AI) to increase productivity in agricultural practices. Intelligent agricultural scenarios collect large amounts of data from a variety of sources, such as wireless sensor networks, network stations, camera surveillance, and smartphones. This data is a valuable resource for data control services and decision support systems (DSSs) in agricultural applications. However, one of the biggest challenges in these massive agricultural data is the enormous diversity in terms of form and meaning. Furthermore, the various services and technologies of intelligent agroecosystems may have limited capabilities to collaborate due to the lack of standardized practices for data and systems integration.},
        keywords = {Technology, Agriculture, Smart farming , AI (Artificial Intelligence), Productivity, Data exchange},
        month = {May},
        }