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@article{173410,
        author = {Vrushali A. Gagrepatil and Samadhan S. Jadhav},
        title = {Smart farming new way of agricultural management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {188-191},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173410},
        abstract = {The two biggest obstacles to global sustainable development are population expansion and the scarcity of food. The world's problems can be realistically solved by cutting-edge technology like mobile internet, the Internet of Things, and artificial intelligence (AI). In order to demonstrate data collection, transmission, storage, analysis, and appropriate solutions, this study focuses on the new ways related to smart farming (SF) from 2019 to 2021. Since it links sensor devices to carry out a variety of fundamental activities, the Internet of Things is one of the key pillars of smart systems. The sensors for water level, irrigation effectiveness, climate, etc. were part of the smart irrigation system. Smart controls, sensors, and a few mathematical formulas form the foundation of smart irrigation. Furthermore, using the Internet of Things (IoT), artificial intelligence (AI), deep learning (DL), machine learning (ML), and wireless communications, this work demonstrated the use of unmanned aerial vehicles (UAV) and robots to accomplish a variety of tasks in real-time, including harvesting, seedling, weed detection, irrigation, agricultural pest spraying, livestock applications, etc. Furthermore, because 5G mobile networks can link a huge number of devices per square kilometer and provide high-speed data transfer of up to 20 Gbps, this work highlights the significance of using them in the development of smart systems. This study outlined several strategies for smart farming, despite the fact that its implementation in developing nations faces numerous obstacles. Additionally, the implementation of Smart Decision Support Systems (SDSS) in emerging nations facilitates the mapping and real-time analysis of soil properties as well as appropriate decision management. Lastly, governments in developing nations must provide small-scale farms and the business sector with greater support for smart agriculture.},
        keywords = {Smart farming, IOT, AI, management},
        month = {March},
        }