Artificial Intelligence (AI) is playing an increasingly important role in modern agriculture by improving productivity, efficiency, and sustainability. AI technologies such as machine learning, computer vision, robotics, and data analytics are being used to monitor crop health, predict yields, manage irrigation, and automate farming operations. These systems analyze data from sensors, drones, satellites, and weather reports to help farmers make accurate and timely decisions. AI also supports precision agriculture, where resources like water, fertilizers, and pesticides are applied only where needed, reducing costs and environmental impact. In addition, AI-powered robots and automated equipment are helping to address labour shortages and increase operational efficiency. Despite its benefits, the adoption of AI in agriculture faces challenges such as high implementation costs, limited technical knowledge among farmers, and lack of digital infrastructure in rural areas. However, ongoing research and technological advancements are expected to make AI more accessible and affordable. Overall, AI has the potential to transform traditional farming into a smart, data-driven, and sustainable system that can meet the growing global demand for food.
Borade et al. (Tue,) studied this question.
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