Automation and AI in Precision Agriculture: Innovations for Enhanced Crop Management and Sustainability
Azmirul Hoque, Mrutyunjay Padhiary
Asian Journal of Research in Computer Science · pp. 95–109 · Published 9 Oct 2024
10.9734/ajrcos/2024/v17i10512Abstract
Precision agriculture is one of the ways to achieve food security and sustainability through better resource-use optimization and crop productivity dealing with the challenges posed by the growing population and addressing environmental concerns. The study offers an in-depth look at the most recent developments in artificial intelligence (AI) and automation in precision agriculture (PA), with a particular emphasis on important technologies such as drones, autonomous tractors, AI-driven irrigation systems, and predictive analytics for crop management. The accuracy of crop monitoring and health assessments has increased by 30–50 percent as a result of AI-powered solutions, which have improved resource-based decision-making. Systems for precision irrigation and fertilization have increased crop yields by 5–15 percent when using 25–40 percent less water and 30-40 percent less fertilizer, respectively. Robotic harvesters and sprayers are examples of automation technologies that have reduced labor expenses by 20–40 percent and increased operational efficiency by 35 percent. Additionally, AI-based prediction models have reduced pest damage by 20–25 percent and reached an accuracy of 85–90 percent for crop yield forecasts and pest control. Despite these developments, issues of scalability, affordability for small farms, and data privacy still exist, which can hinder technology adoption among farmers. The evaluation follows by outlining ideas for future research, such as 5G, blockchain, and AI integration with cloud and edge computing. These technologies could improve decision-making and transparency in precision agriculture by enabling real-time data transmission, secure data management, and enhanced traceability, thus addressing current limitations and fostering trust among stakeholders.
Cited by 46
Azmirul Hoque, Mrutyunjay Padhiary, Kundan Kumar · Advances in Computational Intelligence and Robotics · 2025
Kanica Roy, Rohit Dutta Choudhury, Joytu Debnath · International Journal of Scientific Research in Science, Engineering and Technology · 2025
Surendra Prakash Gupta, Ankur Bhardwaj · Advances in Computational Intelligence and Robotics · 2025
Mrutyunjay Padhiary · Advances in Systems Analysis, Software Engineering, and High Performance Computing · 2025
Mrutyunjay Padhiary, Pranjal Saikia, Pankaj Roy · Cureus Journal of Engineering · 2025
Gajendra Prasad, Mrutyunjay Padhiary, Azmirul Hoque · Advances in Computational Intelligence and Robotics · 2025
Cristian-Dumitru Mălinaș, Florica Matei, Ioana Delia Pop · AgriEngineering · 2025
Peiqian Wu, Yuxin Zhong · Smart Agricultural Technology · 2025
Priyanka Roy, Diwakar Kumar, Kundan Kumar · Asian Journal of Research in Computer Science · 2025
Azmirul Hoque, Aradhana Boruah, Ajita Tiwari · Disaster Resilience and Green Growth · 2025
Showing 20 of 46 known citations — external sources report more than can currently be individually listed.
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