Optimum Utilization of Artificial Intelligence in Agriculture
DOI:
https://doi.org/10.15662/IJEETR.2024.0606023Keywords:
Artificial Intelligence, Artificial Intelligence in AgricultureAbstract
The integration of Artificial Intelligence (AI) in agriculture has emerged as a transformative approach to enhance productivity, sustainability, and resource efficiency. This study focuses on the optimum utilization of AI technologies such as machine learning, computer vision, and data analytics in modern farming practices. AI enables precise monitoring of crop health, soil conditions, weather patterns, and pest infestations, thereby supporting data-driven decision-making. Techniques like predictive analytics help in yield forecasting, irrigation management, and disease detection, reducing losses and operational costs. Furthermore, the use of AI-powered automation, including smart irrigation systems and autonomous machinery, minimizes human effort while maximizing output. The paper highlights the challenges in implementation, such as high initial investment, lack of technical awareness, and data accessibility issues, particularly in developing regions. It also explores potential solutions to overcome these barriers for widespread adoption. Overall, the optimum utilization of AI in agriculture can significantly contribute to food security, environmental conservation, and sustainable development.
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