Artificial Intelligence in Farm Management: Integrating Smart Systems for Optimal Agricultural Practices
Mrutyunjay Padhiary, Kundan Kumar, Nabiul Hussain, Dipak Roy, Javed Akhtar Barbhuiya, Pankaj Roy
Abstract
The introduction of artificial intelligence (AI) in agriculture has made significant improvements in farm management possible by offering innovative ways to optimize farming operations. This review article brings together over 100 articles published in the last ten years through a systematic search of databases on specific keywords related to AI and agriculture. The research paper covers the use of AI in machinery automation, pest detection, irrigation control, and monitoring agriculture. The results obtained show a 25% increase in crop yields in precision farming techniques by AI and machine learning and a decrease in water usage by up to 30% as opposed to traditional farming practices. In addition, AI-based pest identification has reduced pesticide application by 20% and encouraged sustainable agriculture. Crop yield estimation has now improved in terms of decision-making capability since it has significantly yielded 92% accuracy levels by using AI-driven predictive models. Further, studies indicate that the maintenance cost is decreased by 18% and fuel consumption is decreased by 15% in optimized operations with AI-based farm machinery management systems. The agriculture industry can increase productivity and sustainability to a greater extent by implementing AI in the management of farms to overcome the problems arising out of the world’s ever-increasing population.