Critical Review of Cybersecurity Risks in Precision Agriculture

Traditional and smart agricultural knowledge are covering climate, soil health, and human health, remains crucial for many regions. Small farmers, who manage most of the world's farms and especially rely on it. Larger farms also benefit by blending traditional and modern practices. Integrating precision agriculture (PA) techniques such as IoT, ML, and AI to enhances farming productivity and sustainability. These Integrated PA techniques have emerged as transformative approaches. In this paper explores the benefits and challenges of PA that emphasizing its potential to revolutionize farming practices through real-time monitoring and predictive analytics. However, these integration PA techniques introduces significant cybersecurity risks, financial risk, and technological risk, which necessitate robust security measures to protect sensitive agriculture information. This study reviews the current state of PA, identifies different key risks, and examines various research contributions toward addressing security challenges. The major findings highlight the importance of ensuring data integrity, protecting privacy, and implementing advanced security solutions to foster trust and enhance the efficiency of PA systems.