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@article{179144,
        author = {Nilesh Jain and Smita Lenka},
        title = {ARTIFICIAL INTELLIGENCE BASED PRECISION AGRICULTURE FOR ENHANCED PRODUCTIVITY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5807-5813},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179144},
        abstract = {Agriculture contributes to about 29% of Gross Domestic Product (GDP) of developing nations and 18.2% of India’s GDP accounting for about 65% of the developing countries’ population and 42.3% of India’s population. Agricultural development is one of the most important and powerful tool for any country’s economic development including poverty alleviation and providing food and nutritional security. For this, we need to improve land-use by using healthy, sustainable and inclusive food systems with strong technological interventions including prominent use of Artificial Intelligence (AI) in precision agriculture, especially with global food production requirement to increase by 60-70%.  
Developing nations have been experiencing a slowdown in agricultural output rates in the developing countries where Total Factor Productivity (TFP) has grown by 1.06% in the 2010s as contrasted to 2.20% in the 2000s, whereas, it has increased from 0.83% in 2000s to 1.27% in the 2010s in the developed countries.  
Precision agriculture using AI and data-driven approaches help drastically improve productivity and environmental sustainability while using technologies like sensors, drones, IoT, image recognition, etc., to precisely target optimum utilization of resources like water, fertilizers and pesticides through site-specific management, Variable Rate Application (VRA), AI sensor-based real-time monitoring leading to increased productivity and reduce loss by automatic fertigation system and image recognition based plant health monitoring and disease diagnosis/pest control coupled with automated drone/aerial based pesticide/insecticide application system is proposed to revolutionize traditional agriculture by reducing biotic and abiotic stress on one hand and the farmer reaping enhanced economic returns on the other. For this, institutional credit and government funding will essentially be required for capital investment in this paradigm-changing revolutionary concept.},
        keywords = {Precision Agriculture, Artificial Intelligence, Technology, Productivity, Disease Control, Fertigation},
        month = {May},
        }