Abstract
Precision agriculture has witnessed a revolution propelled by innovative technologies and applications in digital farming. This comprehensive review explores the transformative impact of these advancements on agricultural practices. Cutting-edge technologies such as agricultural robotics, mechatronic platforms, and autonomous systems are examined for their role in enhancing efficiency and productivity in farming operations. The integration of low-cost location sensing subsystems and adaptive systems further optimizes precision agriculture, enabling real-time decision-making and resource management. Deep learning techniques, specifically in plant disease detection and leaf segmentation from digitized herbarium specimen images, demonstrate remarkable potential for disease management and crop monitoring. Additionally, the design and simulation of robotic arms using machine vision technology represent significant strides in automating tasks within agricultural settings. Through a critical analysis of these technologies and their applications, this review underscores the transformative power of digital farming in revolutionizing precision agriculture. It highlights the potential to address key challenges in sustainable agriculture, improve resource utilization, and meet the growing demands for food production in a rapidly evolving agricultural landscape.
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