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New Research Study on the Role of AI in Addressing Global Agricultural Challenges

The core challenges agriculture faces today are unprecedented, driven by climate change and population expansion. To sustain and boost agricultural output in the face of these pressures, new and creative technological solutions are essential. The research, carried out by DCU’s Dr Muhammad Salman Pathan alongside other international researchers, highlights AI as a significant "exponent of change" that offers potential solutions across various agricultural production fields.

Key areas where AI's role is emphasised include robotic automation, machine learning applications, and the concept of precision farming. AI serves as an excellent support for decision processes in crop management, providing crucial capabilities such as real-time monitoring and predictive analytics.

Furthermore, AI's application significantly boosts crop productivity through the integration of precision farming and the Internet of Things (IoT). It is also instrumental in reducing resource use, which directly enhances agricultural sustainability. 

The research notes that higher agricultural yields and resilience are made possible through the combination of genetic advancements and AI in resource optimisation. 

Despite its immense promise, the full potential of AI in agriculture has not yet materialised, primarily due to technological, societal, and legal obstacles. To overcome these barriers, the study suggests implementing holistic policy frameworks, education, and stakeholder engagement. 

Ultimately, the paper concludes that AI’s future potential, including roles in smart seeds and blockchain integration, is critical for improving global food security and sustainability, shaping future agricultural practices.

Read the full research article here.