The role of artificial intelligence in agriculture and its engineering: a review
DOI:
https://doi.org/10.58628/JAE-2622-113Keywords:
Artificial intelligence, crop management, precision farming, supply chain management, sustainabilityAbstract
Artificial intelligence (AI) is quickly changing agricultural engineering, offering creative solutions for resource saving, managing the crop, and smart farming. AI-generated solutions are being included in some agricultural phases, like crop monitoring and soil preparation, to harvesting and supply chain management by utilizing machine learning, computer vision, and data crunching. Smart irrigation systems, disease spotting, autonomous machinery, and predictive analytics for yield forecasting are some of the major advancements that are meant to increase sustainability and efficiency. The need to solve the problem of stable food supply, human resource shortages, and climate-related risks is the main problem behind the launch of AI in agriculture. Research has shown that AI use, particularly in large-scale farms, can significantly improve agricultural yields, minimize the resource waste, and improve profit of farmers. The use of AI remains finite by because that include information privacy, high cost, and confined access to innovation in developing nations. Future studies will focus on improving the process for monitoring the health of plants and soil, developing low-cost AI solutions, and developing robotics for various field applications. AI has the potential to completely change agricultural methods, making them more productive, sustainable, and help recover the crop due to environmental stresses.
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