Abstract
As global challenges of population development, climate variation, and resource insufficiency exaggerate, the agricultural landscape is at a serious juncture. Sustainable farming arises as a transformative explanation to discourse these challenges by making the most of crop yields in precise environments. This model shift necessitates the amalgamation of the most advanced technologies, with Artificial Intelligence (AI) at the forefront. This overview provides a wide-ranging exploration of the role of AI in sustainable farming, investigating its latent, challenges, and prospects. The article also reveals the current state of AI applications, encircling machine learning, computer vision, the Internet of Things (IoT), and robotics, in heightening resource usage, automating tasks, and upgrading decision making. It recognizes gaps in research, highlighting the need for optimized AI models, interdisciplinary collaboration, and ultimately expansion of reasonable AI in agriculture. The inferences encompass beyond efficiency gains, considering economic feasibility, declined environmental impact, and augmented food security. This overview offers new insights into developing a strong platform exploring certain avenues for future research, aiming to direct the amalgamation of AI technologies in sustainable farming for a resilient and sustainable future in the area of agriculture.
Published Version
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