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@article{180958,
        author = {Omkar Revanappa Kalshetti and Varsha Vishnu Gavade and Dr. Prakash Kene and Dr. Shivani Budhkar},
        title = {Harnessing Artificial Intelligence for Sustainable &  Smart Agriculture},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {3938-3943},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180958},
        abstract = {Artificial Intelligence (AI) integration in agriculture is transforming conventional agricultural methods, paving the way for sustainable and smart agricultural systems. This research explores the function of AI-driven technologies such as the Internet of Things, computer vision, and machine learning (IoT), in maximizing the use of resources, raising crop yields, and mitigating environmental impacts. AI-powered Predictive analytics help with precision farming by enabling real-time crop, weather, and soil health monitoring diseases. Automated decision-making through AI enhances irrigation management, pest control, and yield prediction, reducing dependency on excessive chemical use and conserving water resources. Additionally, AI-driven robotics and drones improve operational efficiency by automating labour-intensive activities like weeding, planting, and harvesting. By addressing challenges such as climate change, food security, and resource scarcity, AI fosters a data-driven approach to sustainable agriculture. This paper highlights AI's revolutionary potential to boost agricultural output while encouraging eco-friendly and climate-resilient farming solutions.},
        keywords = {Artificial Intelligence (AI), Smart Agriculture, Sustainable Precision Agriculture and Farming, Machine Learning, IoT in Agriculture, Crop Monitoring, Predictive Analytics, Pest Control, Agricultural Robotics, Climate-Resilient Farming, AI-driven Decision Making, Smart Farming Technologies, Environmental Sustainability.},
        month = {June},
        }