Volume 20 No 12 (2022)
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Ashok Kumar, Subrata Jana, Payal Gulati
An artificial intelligence-based system that supports the administration of many agent systems in the agricultural sector is known as a multi-agent based agriculture expert system. These technologies are built to track the entire agricultural production cycle and deliver high-quality, timely judgements. For doing this research data are gathered from the different literature and journal paper, and after that outcomes of the research are analyzed. To select appropriate actions and enhance their result they can analyses data from many sources including the condition of the soil, local weather, and other variables also. The device also helps farmers maintain control over their activities by promptly warning them of crucial conditions. In this way yield and production efficiency rise gradually. In conclusion, research on multi-agent-based agriculture expert systems has demonstrated that AI-driven intelligent agents and AI methodologies may boost decision-making in the agricultural industry with more accuracy and competence. It has given a general overview of the possibilities of these methods and brought attention to the need for more investigation into decision assistance tactics.
Artificial Intelligence, farmers, local weather, soil condition, scheduling of fertigation, crop production, pest prevention.
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