Precision Agriculture and AI-Driven Smart Farming: Leveraging Big Data and IoT for Sustainable Food Production
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I2P101Keywords:
Precision agriculture, data science, sustainable farming, IoT sensors, artificial intelligence, predictive analyticsAbstract
Precision agriculture leverages data science and technology to optimize farming practices, enhance crop yields, and promote sustainability. This approach integrates advanced tools such as remote sensing, IoT sensors, AI/machine learning, and farm management information systems. By providing real-time insights into soil conditions, climate patterns, and crop health, precision agriculture empowers farmers to make informed decisions, improving productivity, reducing costs, and enhancing sustainability. AI-driven solutions automate tasks like weed detection and optimize resource allocation, while predictive analytics anticipate crop yields, disease outbreaks, and market conditions. Precision agriculture not only addresses food security and sustainability challenges but also fosters resilient methods of food production, benefiting farmers, consumers, and the environment
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