Artificial intelligence and its applications in agriculture: A review
2025
Vardhan, Peddi Naga Harsha | Badavath, Akhila | Srivalli, Pulla
The application of artificial intelligence (AI) into agriculture marks a huge shift in the sector, providing solutions for increasing crop yields, pest control, and overall food supply chain management. This study delves into the role of AI in contemporary agriculture, emphasizing its capacity to enhance decision-making by providing precise weather forecasts and selecting seeds tailored to specific climatic conditions. AI applications such as computer vision, image recognition systems, and smart sensors offer real-time data collection, which aids crop monitoring, management, and pest control. These technologies also help determine appropriate planting timings, depths, and seed spacing, resulting in increased efficiency and output. Furthermore, AI-powered devices give insights into crop health, including nutritional requirements, which improves the quality and quantity of agricultural produce. The current study also considers the future of AI in agriculture, focusing on its capacity to minimize environmental impact, enhance farming procedures, and reduce waste in food and biofuel production. The study stresses the transformative role of AI and machine learning (ML) in agriculture, concentrating on their applications and contributions to sustainable agricultural methods.
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Este registro bibliográfico ha sido proporcionado por Action for Sustainable Efficacious Development and Awareness