Author(s):
The rapid expansion of global agriculture has led to increased reliance on chemical pesticides for crop protection, resulting in negative environmental impacts, pesticide resistance, and concerns over food safety. To address these challenges, there is growing interest in sustainable pest management systems (SPMS) that reduce the environmental footprint of pest control while maintaining high crop yields. This paper explores the integration of new technologies, including biological control, precision agriculture, genetic engineering, and remote sensing, in the development of sustainable pest management strategies. By combining traditional and innovative approaches, SPMS aim to reduce pesticide use, minimize crop losses, and improve the health of agro ecosystems. Additionally, advancements in artificial intelligence (AI) and data analytics are playing a crucial role in improving pest monitoring and decision-making processes. The paper reviews various case studies of SPMS applied to different crops and regions, highlighting the successes and challenges encountered. It also discusses the role of policy frameworks, stakeholder engagement, and farmer education in ensuring the successful adoption of sustainable pest management practices. The integration of these technologies offers promising solutions for addressing the growing demands of food production while safeguarding environmental and human health.
