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<p>With increasing global population and limited expansion of cultivated land, it is necessary to identify innovative solutions for enhancement of agricultural productivity and meet growing food demand. Despite significant advancements in crop protection methods, substantial annual crop losses persist particularly due to pests. Artificial Intelligence (AI) has emerged as a&#xa0;transformative tool to reform crop protection strategies. With the support of machine learning and deep learning algorithms, AI enables precise pest detection, risk assessment, monitoring, and forecasting thereby minimizing crop losses and maximizing yields. Further, AI integrates expert system and decision support system with crop management aspects for precise and timely decisions for farmers to enhance the crop productivity. In this review article, attempts are taken to explore the applications, implications, and future prospects of AI in field of pest management, emphasizing its pivotal role in agriculture and thus ensuring food security among evolving challenges.</p>

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Transforming Pest Management with Artificial Intelligence Technologies: The Future of Crop Protection

  • 期刊论文

  • 发表日期：

    2025年2月19日

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  • E. Vidya Madhuri,
  • J. S. Rupali,
  • S. P. Sharan,
  • N. Sai Pooja,
  • G. S. Sujatha,
  • Dhananjaya P. Singh,
  • Khurshid Ahmad,
  • Amrender Kumar,
  • Ratna Prabha

摘要

With increasing global population and limited expansion of cultivated land, it is necessary to identify innovative solutions for enhancement of agricultural productivity and meet growing food demand. Despite significant advancements in crop protection methods, substantial annual crop losses persist particularly due to pests. Artificial Intelligence (AI) has emerged as a transformative tool to reform crop protection strategies. With the support of machine learning and deep learning algorithms, AI enables precise pest detection, risk assessment, monitoring, and forecasting thereby minimizing crop losses and maximizing yields. Further, AI integrates expert system and decision support system with crop management aspects for precise and timely decisions for farmers to enhance the crop productivity. In this review article, attempts are taken to explore the applications, implications, and future prospects of AI in field of pest management, emphasizing its pivotal role in agriculture and thus ensuring food security among evolving challenges.